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Engagement Manager

While technology is the heart of our business a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency diversity integrity learning and growth. If working in an environment that encourages you to innovate and excel not just in professional but personal life interests you- you would enjoy your career with Quantiphi! About Quantiphi Quantiphi is an award-winning AI-First global digital engineering company that helps the world’s leading Fortune 1000 organizations transform bold ideas into measurable business impact. We go beyond building innovative AI technologies—we solve the problems that matter most to our clients. Since our founding in 2013 Quantiphi has built a proven track record of turning complex challenges into meaningful outcomes across industries. Headquartered in Boston with more than 4000 professionals worldwide we partner with global enterprises to deliver large-scale digital cloud and AI-driven transformation. SolvingWhatMatters. We Are An Elite And Premier Partner To Google Cloud AWS NVIDIA Snowflake And Other Leading Technology Platforms And Our Work Has Been Recognized Across The Industry Including 21 Google Cloud Partner of the Year awards in the past 10 years 3 AWS AI/ML Partner of the Year awards 3 NVIDIA Partner of the Year awards 3 Snowflake Partner of the Year awards Rated Leaders by Gartner Forrester IDC ISG Everest Group and other leading analyst firms Quantiphi delivers First-in-class AI solutions across Life Sciences Healthcare Banking Financial Services CPG Manufacturing Energy High-Tech Telecommunications etc. powered by cutting-edge Generative AI and Agentic AI accelerators. We are also proud to be certified as a Great Place to Work—reflecting our commitment to our people and our culture. For more details visit Website or LinkedIn Page Role Engagement Manager Employment type Full Time Experience 8+ years Location Remote (Canada) Description We are looking for a strong EM lead with people management experience to lead a team of business analysts and engineers focused on building and driving solutions and insights to drive business efficiency and customer experience. The ideal candidate will have strong project management leadership and cross-group collaboration skills. What You Will Do As an Senior Engagement Manager you’ll lead the delivery management of multi-functional medium/large scale AWS programs covering project planning delivery assurance and verification tracking and reporting and risk/mitigation planning. Take accountability for our customers to ensure the program(s) realizes financial benefits and transformational outcomes constantly identify and develop new business opportunities. Work with engineering leads in strategizing and executing multi-year roadmap on portfolio of products applications and services. Ensure quality execution and proactively identify potential customer issues and resolve them with speed and efficiency to drive satisfaction outcomes and deliver positive customer partner experience. Coordinate measure monitor and communicate on program(s) health. Actively contribute to org-wide strategies in defining and implementing those along with contributing to team’s roadmap and portfolio of services in alignment to the wider organization. Maintain a relentless focus across the team on continuous improvement planning and implementing changes to process service and technology to transform how the team operates. Build a collaborative environment - coach/mentor team members. Recruit motivate and develop highly skilled staffs that focuses on service delivery of key performance metrics as per the client contract. Basic Qualifications Master's degree or equivalent practical experience. Minimum 8 yrs of experience in delivering digital transformation projects to global clients. Experience in program management client service and/or management consulting. Knowledge of leading teams on projects using agile methodology and frameworks like scrum kanban or XP etc. Strong verbal and written communication skills with technical and business leaders at all levels within large enterprises. Aptitude in business analysis and leveraging quantitative analysis techniques for decision making. Ability to work with minimal supervision in a dynamic and time sensitive work environment. Knowledge and willingness to learn and apply emerging trends in business research data science artificial intelligence machine learning and cloud computing - AWS exposure is a value addition. Team management experience is a must. What Is In It For You Join one of the world’s fastest-growing AI-first digital engineering companies and make a real impact at scale. Lead and collaborate with a high-energy team of talented driven individuals solving complex meaningful challenges. Work with Fortune 500 companies and disruptive innovators in a research-driven environment with 60+ patents. Stay ahead of the curve by gaining hands-on experience with cutting-edge AI ML data and cloud technologies while continuously upskilling. If you like wild growth and working with happy enthusiastic over-achievers you'll enjoy your career with us !

ML Engineer (Remote)

Machine Learning Engineer – Distributed ML Systems About the Role Pluralis Research is seeking Senior/Staff Machine Learning Engineers with strong experience in distributed systems and large-scale machine learning training. The team is developing a novel substrate for training distributed ML models across consumer-grade internet connections as part of its Protocol Learning research. In this role you will design implement and optimize distributed machine learning systems operating across heterogeneous hardware and challenging network conditions. You will work on model parallelism GPU and memory optimization decentralized networking resilience checkpointing synchronization and monitoring for large-scale training workloads. Key Responsibilities Design and implement large-scale distributed training systems optimized for heterogeneous hardware low-bandwidth connections and high-latency environments. Develop and optimize model-parallel training strategies including data tensor and pipeline parallelism. Implement custom sharding techniques to minimize communication overhead. Optimize GPU utilization memory efficiency and compute performance across distributed nodes. Implement checkpointing state synchronization and recovery mechanisms for long-running and fault-prone training jobs. Build monitoring and metrics systems to track training progress model quality and system bottlenecks. Architect resilient training systems that support node failures network partitions and participants dynamically joining or leaving. Design and optimize peer-to-peer topologies for decentralized coordination across non-co-located nodes. Implement NAT traversal peer discovery dynamic routing and connection lifecycle management. Profile and optimize communication patterns to reduce latency and bandwidth overhead in multi-participant environments. Required Qualifications 5+ years of experience in distributed systems and large-scale machine learning training. Strong experience building and operating distributed systems in production. Hands-on expertise with distributed training frameworks such as FSDP DeepSpeed Megatron or similar. Deep understanding of model parallelism including data tensor and pipeline parallelism. Expert-level Python experience in production environments including concurrency error handling retry logic and clean architecture. Strong networking fundamentals including P2P systems gRPC routing NAT traversal and distributed coordination. Experience optimizing GPU workloads memory management and large-scale compute efficiency. Preferred Qualifications The provided job description does not specify additional preferred qualifications. Skills & Competencies Distributed machine learning systems Large-scale ML training Distributed systems architecture Model parallelism Data parallelism Tensor parallelism Pipeline parallelism FSDP DeepSpeed or Megatron Python Concurrency Error handling and retry logic GPU optimization Memory management Compute performance optimization Peer-to-peer networking gRPC Routing NAT traversal Peer discovery Distributed coordination State synchronization Checkpointing and recovery Monitoring and metrics Communication optimization System resilience Technical problem-solving Education & Experience Education No specific education requirement is stated in the provided job description. Experience 5+ years of experience in distributed systems and large-scale ML training. Production experience building and operating distributed systems. Hands-on experience with distributed ML training frameworks. Experience optimizing GPU workloads memory and large-scale compute systems. Work Arrangement & Schedule Listed Location San Francisco California United States Work Arrangement Remote / Remote-first Role Level Senior/Staff Employment Type Not specified in the provided job description. Weekly Hours Not specified. Schedule Flexibility Not specified. Weekend Requirements Not specified. Additional Location Information The job description states that the company is remote-first with optional access to a Melbourne hub. It also states that competitive base salary is offered for senior engineering roles in Australia which differs from the listed San Francisco location. Compensation & Benefits Equity-heavy compensation with meaningful ownership in the company. Competitive base salary for senior engineering roles in Australia. Visa sponsorship available for exceptional candidates. Remote-first work environment with optional access to the Melbourne hub. Opportunity to work with a team whose members have previously worked at Google Amazon Microsoft and leading startups. Compliance / Additional Information Pluralis Research conducts foundational research on Protocol Learning described as multi-participant training of foundation models where no single participant has or can ever obtain a full copy of the model. The company states that its goal is to facilitate the creation of community-trained and community-owned frontier models with self-sustaining economics.

Performance & Data Optimization Engineer

Job Description Type of Requisition Regular Clearance Level Must Currently Possess None Clearance Level Must Be Able To Obtain None Public Trust/Other Required BI Full 6C (T4) Job Family Cyber and IT Risk Management Skills Job Qualifications GitHub Jira and Confluence administration Web Application Security Certifications None Experience 5 + years of related experience US Citizenship Required No Job Description Seize your opportunity to make a personal impact supporting the Case Management Modernization (CMM) Program.  The CMM program is an initiative to support the Administrative Office of the US Courts (AO) in developing a modern cloud-based solution to support all 204+ federal courts across the United States. GDIT is your place to make meaningful contributions to challenging projects and grow a rewarding career. The Performance & Data Optimization Engineer will work as part of the CMM Data Modernization and Governance team responsible for delivering an integrated data governance engineering data platform reporting analytics and Artificial Intelligence (AI)/Machine Learning (ML) capabilities that support operational decision-making and fulfill AO's data and analytics objectives in support of the CMM program. The successful candidate will be responsible for monitoring and optimizing the performance of the enterprise cloud data platform focusing on database performance query execution indexing strategies and overall platform efficiency. This role identifies bottlenecks tunes queries and platform configurations and partners with data engineering and platform teams to ensure the CMM Data Modernization & Governance platform runs efficiently reliably and cost-effectively at scale. THE PERFORMANCE & DATA OPTIMIZATION ENGINEER WILL EXECUTE THE FOLLOWING RESPONSIBILITIES Optimize databases and platform performance across cloud data warehouses/lakes including query execution indexing partitioning and caching. Monitor system health manage incidents events and operational reporting. Diagnose and resolve performance bottlenecks in queries pipelines and resource utilization (CPU memory storage network I/O concurrency). Analyze and tune SQL ETL/ELT data models ingestion patterns and workload performance for efficiency and cost. Establish and maintain SLAs baselines dashboards and automated monitoring/alerting. Plan capacity perform workload analysis and guide scaling and cost-optimization decisions. Collaborate with platform engineers DBAs architects and application teams to optimize compute/storage configurations and resolve issues. Maintain access controls user roles and identity integrations including SSO MFA and JENIE-based least privilege enforcement. Provide disaster recovery and continuity options including high availability fault tolerance and automated failover. Integrate DevSecOps tools and processes with enterprise systems to ensure unified security posture. Manage centralized secrets with automated rotation access logging and policy enforcement. Embed SAST DAST SCA and CSPM tools into CI/CD for continuous assessment and remediation. Implement automated continuous 24/7 monitoring for security performance and compliance with real-time dashboards. Ensure automated SBOM generation and management for all deployed artifacts. Provide diagnostics metrics gathering and performance tuning support canary releases for testing. Collaborate with data governance and data quality teams to ensure performance optimization efforts align with data standards and controls. Collaborate with Data Platform Engineers Database Administrators Data Architects and Data Engineers to resolve performance issues. Perform automated full-stack health checks at agreed intervals. Deliver monthly reports covering incidents stability performance configurations ticket volume and resolution times. Support high availability disaster recovery and business continuity requirements. Contribute to platform performance standards engineering guidelines and optimization best practices. QUALIFICATIONS Education Bachelor’s degree in Computer Science Software Engineering or related field. Experience 5+ years’ experience in IT system engineering development and programming with a strong focus on diagnosing optimizing and improving system and data‑pipeline performance. Deep expertise in AWS services across compute storage networking monitoring and logging. Proficient with IaC tools (Terraform CloudFormation Azure Bicep) for building optimized cost‑efficient autoscaling infrastructure configurations. Experienced with monitoring/APM platforms (CloudWatch Azure Monitor Datadog Prometheus Grafana New Relic) focusing on identifying performance bottlenecks improving query and workload efficiency and reducing latency. Strong background in incident response and change management with the ability to quickly isolate troubleshoot and resolve performance degradation issues. Skilled with CI/CD toolchains (Jenkins GitHub Actions GitLab ArgoCD) to optimize build and deployment pipelines and reduce performance overhead. Strong scripting abilities (Python PowerShell Bash). Advanced DevSecOps and GitOps experience with the ability to optimize deployment workflows automate testing and ensure high‑performance release pipelines. Hands-on experience building testing and maintaining containerized applications. Expert in version control and enterprise CI/CD pipelines leveraging automation to streamline performance‑critical workflows. Flexible collaborator across multiple teams and products. Experience with FinOps cost modeling forecasting and cloud cost optimization. Knowledge of federal compliance frameworks (FedRAMP NIST JISF Rev 5). Skilled in log/metric analysis and cloud performance tuning. Experienced working across product teams to assess system health. Strong SQL and database performance‑tuning skills with ability to optimize ELT/ETL pipelines refactor SQL logic tune joins improve concurrency and tune execution plans. Experience in query optimization indexing partitioning clustering and execution-plan analysis. Familiar with cloud data platforms and distributed data-processing environments. Strong performance‑monitoring and troubleshooting capabilities for database optimization pipeline tuning and cloud‑platform efficiency improvements. Excellent analytical and problem‑solving skills. Preferred experience with Snowflake Databricks Amazon Redshift PostgreSQL SQL Server Oracle or equivalent platforms. Preferred experience with optimizing large-scale analytical workloads. PREFERRED CERTIFICATIONS One or more of the following certifications is preferred but not required . Certified Data Management Professional (CDMP) Snowflake SnowPro Advanced Databricks Certified Data Professional AWS Certified Data Analytics – Specialty AWS Certified Solutions Architect – Professional AWS Certified Data Engineer Docker Certified Associate. Certified Kubernetes Administrator Certified Professional DevSecOps Certification Course ITIL AWS SysOps Google Cloud DevOps Engineer. Security Clearance Level Must be able to pass a background check to obtain a position of Public Trust. Must be a US Person (Green Card Holder US Permanent Resident Alien Refugee Asylee or US Citizen). Location Remote. GDIT IS YOUR PLACE At GDIT the mission is our purpose and our people are at the center of everything we do. Growth AI-powered career tool that identifies career steps and learning opportunities Support An internal mobility team focused on helping you achieve your career goals Rewards Comprehensive benefits and wellness packages 401K with company match and competitive pay and paid time off Flexibility Full-flex work week to own your priorities at work and at home Community Award-winning culture of innovation and a military-friendly workplace OWN YOUR OPPORTUNITY Explore a career in program management at GDIT and you’ll find endless opportunities to grow alongside colleagues who share your passion for the mission and delivering results. GDITLA The likely salary range for this position is $128039 - $173229. This is not however a guarantee of compensation or salary. Rather salary will be set based on experience geographic location and possibly contractual requirements and could fall outside of this range. Scheduled Weekly Hours 40 Travel Required Less than 10% Telecommuting Options Remote Work Location Any Location / Remote Additional Work Locations Total Rewards At GDIT Our benefits package for all US-based employees includes a variety of medical plan options some with Health Savings Accounts dental plan options a vision plan and a 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match. To encourage work/life balance GDIT offers employees full flex work weeks where possible and a variety of paid time off plans including vacation sick and personal time holidays paid parental military bereavement and jury duty leave. GDIT typically provides new employees with 15 days of paid leave per calendar year to be used for vacations personal business and illness and an additional 10 paid holidays per year. Paid leave and paid holidays are prorated based on the employee’s date of hire. The GDIT Paid Family Leave program provides a total of up to 160 hours of paid leave in a rolling 12 month period for eligible employees. To ensure our employees are able to protect their income other offerings such as short and long-term disability benefits life accidental death and dismemberment personal accident critical illness and business travel and accident insurance are provided or available. We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most. Our Identity Verification Process As part of the hiring process we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during virtual interviews. We reserve the right to take your picture to verify your identity and prevent fraud. By proceeding you authorize the collection processing and use of your biometric data for identity verification and security purposes. About Our Work We are GDIT. A global technology and professional services company that delivers technology solutions and mission services to every major agency across the U.S. government defense and intelligence community. Our 26000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50+ countries worldwide offering leading mission-ready capabilities in AI cloud cyber and software development. Join our Talent Community to stay up to date on our career opportunities and events at gdit.com/tc. Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans

Senior Solutions Architect

Overview Thank you for considering IT Concepts dba Kentro where innovation drives opportunity and collaboration leads to success. Our dynamic community of experts is fully committed to advancing our customers' missions fostering professional growth and making a positive impact on our communities. By joining our supportive community you will find that Kentro is dedicated to your personal and professional development. Together we can drive meaningful change spark innovation and achieve extraordinary milestones. Kentro is hiring for a Senior Solutions Architect who bridges strategy and execution an enterprise leader capable of designing governing and modernizing complex technology ecosystems that support mission-critical outcomes. This role demands a blend of architectural depth and operational insight someone who can translate business intent into secure scalable and compliant solutions while installing the structures that make innovation repeatable. The ideal candidate combines enterprise and infrastructure architecture expertise with the judgment to balance modernization cost and compliance. Kentro’s core capabilities include Infrastructure Modernization Data and AI Human Capital Management (HCM) Cybersecurity and Healthcare. Our technology partnerships with AWS Microsoft Google UiPath Salesforce ServiceNow Tableau and Databricks provide a platform for shaping forward-leaning architectures that drive measurable impact across government and commercial portfolios. Location This position can be performed remotely within the United States and will support Eastern Time working hours. Salary Range The salary for this position is between $170000 – $200000 annually. Factors affecting pay within this range may include geography/market skills education experience and other qualifications of the successful candidate. Responsibilities Solution Strategy & Design Develop cohesive end-to-end architecture blueprints that translate business strategy into actionable scalable and future-ready technology roadmaps. Architect and deliver scalable secure and high-performance solutions spanning on-premises hybrid and multi-cloud environments (AWS Azure GCP). Evaluate solution viability through feasibility studies proofs of concept and structured technical risk assessments to inform architecture decisions. Establish and maintain architecture guardrails that ensure design decisions across platforms and teams remain consistent with enterprise principles security posture and mission objectives. Technical Leadership & Mentorship Lead cross-functional engineering teams through design build test and delivery phases to ensure solutions meet performance security and compliance standards. Coach and empower solution architects senior engineers developers and consultants on architecture patterns engineering discipline best practices and emerging technologies. Foster a culture of continuous learning technical excellence and shared accountability. Champion architectural quality and delivery standards by establishing review processes design authorities and communities of practice that promote consistency and innovation across teams. Customer Engagement Act as a strategic and trusted technical partner to corporate services and service delivery aligning technology direction with organizational goals and operational excellence. Translate complex technical requirements into clear actionable solutions aligned with mission priorities. Present architecture decisions road maps and ROI analyses to both technical and non-technical audiences to drive informed decision-making. Partner with customer and program leadership to shape technology vision align investments with strategic outcomes and ensure sustained value realization. Service Catalog Strategy & Management Define evolve and govern a modular service catalog that standardizes delivery of integration automation and cloud capabilities enabling scalability transparency and operational consistency across engagements. Define and implement service level objectives cost models and transition frameworks that ensure operational readiness financial transparency and measurable performance accountability. Continuously assess and refine catalog offerings based on adoption metrics customer feedback and evolving enterprise priorities to ensure sustained relevance and value. Business Development Partner with sales and capture teams to develop solution strategies craft compelling RFP/RFI responses and shape competitive bid approaches for federal and commercial pursuits. Identify and advance growth opportunities within existing accounts by demonstrating how architectural innovation and modernization deliver measurable business value. Contribute to go-to-market planning and thought leadership by translating emerging technologies and delivery capabilities into differentiators that strengthen Kentro’s market position. Knowledge Management Curate and institutionalize architectural knowledge by capturing patterns decision rationales and implementation lessons that inform future designs and reduce rework. Maintain authoritative version-controlled architecture documentation reference models and solution guides that enable consistency across teams and programs. Champion a knowledge-sharing culture by operationalizing documentation standards peer reviews and learning exchanges that strengthen organizational maturity. Develop and maintain an accessible searchable knowledge base that centralizes architectural assets accelerates onboarding and promotes reuse across programs. Innovation & Governance Drive enterprise innovation by identifying piloting and operationalizing emerging technologies (e.g. AI/ML automation serverless edge computing) converting proven capabilities into scalable standards and reusable frameworks. Establish and lead governance practices that balance innovation velocity with architectural integrity ensuring solutions remain compliant secure and maintainable across the enterprise. Establish and enforce enterprise governance models that integrate architecture security and compliance frameworks (TOGAF ITIL NIST FedRAMP and related standards) to ensure design coherence audit readiness and sustained operational excellence across programs. Qualifications Education Bachelor’s degree (BA/BS) in Computer Science Information Systems Engineering or a related field. Experience 10+ years of progressive IT experience and at least 5 years in senior technical leadership roles such as Solution Architect Chief Engineer or Systems Engineer. Technical Skills + Enterprise Implementation Success – Proven track record delivering largescale complex system integrations and operational optimizations across multivendor environments. + Technical Expertise – Deep knowledge of systems engineering principles cloud platforms (AWS Azure – Azure preferred Google Cloud) and designing architectures that guarantee scalability security and performance. + Communication – Exceptional written and oral presentation skills ability to articulate technical concepts to both technical and nontechnical stakeholders at all organizational levels. + Strategic Thinking – Strong ability to convert business requirements into cohesive actionable technical solutions that drive measurable value. + Project Management – Hands on experience managing the full engineering project lifecycle (planning execution monitoring optimization) and delivering on tight deadlines in high stakes environments. + Security & Compliance – Expertise in security best practices and compliance frameworks (NIST FedRAMP) and ability to embed these controls into solution designs. Preferred Qualifications Certifications ITIL TOGAF CISSP or cloud specific credentials (e.g. AWS Certified Solutions Architect – Professional Microsoft Certified Azure Solutions Architect Expert Google Professional Cloud Architect). Demonstrated success leading to the development and implementation of enterprise architecture frameworks business process automation and dataflow automation initiatives. Federal Contracting Knowledge – Familiarity with federal acquisition processes proposal development contingent and new award requirements and the integration of IT solutions within federal environments. Experience with service catalog tooling (e.g. ServiceNow BMC) and automation platforms (Ansible Terraform Azure DevOps AWS CloudFormation). Clearance Requirement US Citizen Active Secret Security Clearance or above preferred. Benefits The Company We believe in generating success collaboratively enabling long-term mission success and building trust for the next challenge. With you as our partner let’s solve challenges think innovatively and maximize impact. As a valued member of our team you have the unique opportunity to work in a diverse range of technology and business career paths all while supporting our nation and delivering innovative technology solutions. We are a close community of experts that pride ourselves on creating an environment defined by teamwork dedication and excellence. We hold three ISO certifications (270012013 20000-12011 90012015) two CMMI ML 3 ratings (DEV and SVC) and CMMC Level 2 Certification. Industry Recognition Growth Inc 5000’s Fastest Growing Private Companies DC Metro List Fastest Growing Washington Business Journal Fastest Growing Companies Top Performing Small Technology Companies in Greater D.C. Culture Northern Virginia Technology Council Tech 100 Honoree Virginia Best Place to Work Washington Business Journal Best Places to Work Corporate Diversity Index Winner – Mid-Size Companies Companies Owned by People of Color Department of Labor’s HireVets for our work helping veterans transition SECAF Award of Excellence finalist Victory Military Friendly Brand Virginia Values Veterans (V3) Cystic Fibrosis Foundation Corporate Breath Award Benefits We offer competitive benefits package including paid time off healthcare benefits supplemental benefits 401k including an employer match discount perks rewards and more. We invest in our employees – Every employee is eligible for education reimbursement for certifications degrees or professional development. Reimbursement amounts may fluctuate due to IRS limitations. We want you to grow as an expert and a leader and offer flexibility for you to take a course complete a certification or other professional growth and networking. We are committed to supporting your curiosity and sustaining a culture that prioritizes commitment to continuous professional development. We work hard we play hard. Kentro is committed to incorporating fun into every day. We dedicate funds for activities – virtual and in-person – e.g. we host happy hours holiday events fitness & wellness events and annual celebrations. In alignment with our commitment to our communities we also host and attend charity galas/events. We believe in appreciating your commitment and building a positive workspace for you to be creative innovative and happy. Commitment Equal Opportunity Employment & VEVRAA Kentro is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to disability status as a protected veteran or any other status protected by applicable federal state or local law. Kentro is strongly committed to compliance with VEVRAA and other applicable federal state and local laws governing equal employment opportunity. We have developed comprehensive policies and procedures to ensure our hiring practices align with these requirements. As part of our VEVRAA compliance efforts Kentro has established an equal opportunity plan outlining our commitment to recruiting hiring and advancing protected veterans. This plan is regularly reviewed and updated to ensure its effectiveness. We encourage protected veterans to self-identify during the application process. This information is strictly confidential and will only be used for reporting and compliance purposes as required by law. Providing this information is voluntary and will not impact your employment eligibility. Our commitment to equal employment opportunity extends beyond legal compliance. We are dedicated to fostering an inclusive workplace where all employees including protected veterans are treated with dignity respect and fairness. How To Apply To apply to Kentro Positions- Please click on the job link and then click the blue “Apply” button at the top right of Job Description. Please upload your resume and complete all the application steps. You must fully submit the application for Kentro to consider you for a position. If you need alternative application methods please email careers@kentro.us and request assistance. Accommodations To perform this job successfully an individual must be able to perform each essential duty satisfactorily. Reasonable Accommodations may be made to enable qualified individuals with disabilities to perform the essential functions. If you need to discuss reasonable accommodations please email careers@kentro.us.

Senior Machine Learning Engineer

Why Join Exadel We’re an AI-first global tech company with 25+ years of engineering leadership 2000+ team members and 500+ active projects powering Fortune 500 clients including HBO Microsoft Google and Starbucks. From AI platforms to digital transformation we partner with enterprise leaders to build what’s next. What powers it all? Our people are ambitious collaborative and constantly evolving. About The Client The leading provider of vehicle lifecycle solutions with headquarters in Chicago enables the companies that build insure and replace vehicles to power the next generation of transportation. Its platform delivers advanced mobile artificial intelligence and car technologies. It connects a network of 350+ insurance companies 24000+ repair facilities hundreds of parts suppliers and dozens of third-party data and service providers. The customer's collective solutions enhance productivity and help clients deliver better experiences for end consumers. What You’ll Do Design and implement end-to-end document intelligence pipelines on AWS Develop and optimize ML models for document classification segmentation and field extraction Build scalable data processing systems handling PDFs up to 2000 pages Collaborate with subject matter experts to create and refine requirements for extraction Own features from research through production deployment and monitoring Establish evaluation frameworks and quality metrics for extraction accuracy What You Bring Advanced knowledge of Python (native Pandas ScikitLearn Tensorflow or Pytorch PyStats Pydantic) Experience with AWS tools for ML Engineering and ML deployment (Sagemaker Lambda Cloudformation/CDK Step Functions) Advanced knowledge of SQL and Data Modeling Experience with GenAI for document intelligence including prompt engineering RAG (Retrieval Augmented Generation) multi-modal models (vision + text) and production deployment using AWS Bedrock or Azure OpenAI APIs Experience in experiment design (power analysis and hypothesis testing) Proficiency in both written and verbal communication required for a remote and largely asynchronous work environment Demonstrated capacity to clearly and concisely communicate complex technical problems and propose iterative solutions Experience owning a feature from concept to production including proposal discussion and execution Nice to have Experience with document processing tools (AWS Textract Azure Document Intelligence or similar OCR/layout detection systems) Experience with PDF and Image processing libraries (e.g. PyMuPDF Opnecv pillow) Experience in Machine Learning/ Data Science (e.g. ML algorithm selection feature engineering model training hyperparameter tuning supervised and unsupervised learning implementation building a model pipelines using Machine Learning tools/libraries/frameworks) Experience working with AWS big data technologies (Redshift S3 EMRGlue etc.) English level Upper-Intermediate Legal & Hiring Information Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority gender identity sexual orientation disability age and more. Reasonable accommodations are available to enable individuals with disabilities to perform essential functions. Please note this job description is not exhaustive. Duties and responsibilities may evolve based on business needs. Compensation details are shared with candidates at the early stage of the recruitment process. The offer is not binding until a signed contract is in place. Your Benefits at Exadel Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details. International projects In-office hybrid or remote flexibility Medical healthcare Recognition program Ongoing learning & reimbursement Well-being program Team events & local benefits Sports compensation Referral bonuses Top-tier equipment provision Exadel Culture We lead with trust respect and purpose. We believe in open dialogue creative freedom and mentorship that helps you grow lead and make a real difference. Ours is a culture where ideas are challenged voices are heard and your impact matters.

Senior Machine Learning Engineer II

What we’re building and why we’re building it. Fetch helps people live rewarded every day with a vision to become the rewards destination for everyone. We turn everyday activities into meaningful rewards whether it’s grocery shopping grabbing a quick meal or playing a favorite mobile game. To date we’ve awarded more than $1 billion in Fetch Points to our users. Each day more than 13 million receipts are submitted on Fetch providing visibility into over $212 billion in gross merchandise value. This creates the largest retail-agnostic SKU-level view of household spending powering Fetch as an outcomes-based advertising platform that helps brands acquire and retain lifelong consumers. The Fetch app is available on the App Store and Google Play with more than 6 million five-star reviews from a highly engaged and loyal user base. It’s not just our users who believe in Fetch with investments from Softbank ICONIQ DST Greycroft and partnerships ranging from challenger brands to Fortune 500 companies Fetch is reshaping how brands and consumers connect in the marketplace. When you work at Fetch you play a vital role in a platform that drives brand loyalty and creates lifelong consumers with the power of Fetch points. User and partner success are at the heart of everything we do and we extend that same commitment to our employees. At Fetch we value curiosity adaptability and the confidence to explore new tools especially AI to drive smarter faster work. You don’t need to be an expert but you should be ready to learn quickly and think critically. We welcome learners who move fast challenge the status quo and shape what’s next with us. Ranked as one of America’s Best Startup Employers by Forbes for two years in a row Fetch fosters a people-first culture rooted in trust accountability and innovation. We encourage our employees to challenge ideas think bigger and always bring the fun to Fetch. Meet Fetch AI & Data AI & Data at Fetch sit at the center of how we understand our business make decisions and build intelligent products. The organization operates as an integrated AI & data ecosystem spanning multiple disciplines including data engineering analytics engineering machine learning experimentation and data platforms all working together to turn data into durable business and customer impact. Teams operate in complex problem spaces where requirements evolve tradeoffs are constant and the right answer is rarely obvious. Success depends on strong technical judgment comfort with ambiguity and the ability to gather context and make informed decisions while balancing quality performance scalability and responsible use. Practitioners across this org contribute hands-on to production systems analytical foundations and intelligent features. You will collaborate closely with product platform and engineering partners help shape standards and best practices and ensure our AI and data capabilities scale reliably as Fetch grows. About The Role We are seeking a Senior Machine Learning Engineer II to join Fetch’s Ad Ranking team. This role sits at the intersection of applied machine learning data engineering and production systems with a focus on building and improving ranking relevance and optimization models that drive ad selection and delivery at scale. You will partner closely with product data and platform teams to develop ML-driven decisioning systems including feature pipelines model training and evaluation workflows and low-latency serving infrastructure. This is a high-impact opportunity to influence how ads are ranked and personalized across the Fetch experience improving advertiser performance user engagement and overall marketplace efficiency. Role Responsibilities Design build and improve machine learning models that power ad ranking relevance and optimization across the Fetch platform. Implement and iterate on active learning strategies including data sampling error-driven retraining and human-in-the-loop workflows to improve ranking quality. Leverage LLMs to reduce model development and annotation effort including synthetic data generation assisted labeling weak supervision and error analysis for ranking and relevance tasks. Own ML experimentation offline and online evaluation and production inference for assigned ad ranking components. Partner closely with product data and platform teams to translate advertiser and user experience gaps into measurable ML improvements. Maintain high standards for model performance reliability latency and data quality in production ranking systems. Use AI-assisted tools to accelerate development experimentation debugging and analysis while maintaining strong engineering judgment. + Designing features and validating ideas with ChatGPT & Claude sandboxes. + Leveraging AI for code generation and technical prototyping. + Using AI assistants for systems architecture diagramming and design validation. Minimum Requirements 6+ years of software engineering experience with a strong track record of building and maintaining production ML or data-driven systems. Strong proficiency in Python for machine learning and data processing with working knowledge of Go and hands-on experience deploying low-latency models into production ranking or decisioning systems. Experience with AWS and distributed systems including building or operating scalable training pipelines and online inference services. Practical experience applying LLMs to reduce model development and data labeling effort including assisted labeling synthetic data generation weak supervision or model error analysis. Strong engineering judgment and systems mindset with an emphasis on reliability performance and long-term maintainability of ranking or optimization systems. Experience using AI-assisted development tools (e.g. GitHub Copilot ChatGPT or similar) to accelerate iteration while maintaining high code quality. Ability to critically evaluate AI-generated outputs debug complex issues and validate correctness in production ML workflows. Preferred Requirements Bachelor’s or Master’s degree in Computer Science Machine Learning or a related field or equivalent practical experience. Familiarity with modern AI tooling and frameworks such as AWS Bedrock LangChain vector databases or similar orchestration technologies used in ML-powered decisioning systems. Experience building and operating machine learning workflows involving large language models (LLMs) including prompt-driven systems and model-assisted pipelines. Familiarity with orchestrating ML-driven decisions in high-throughput or low-latency environments such as ranking recommendation or optimization systems. Experience with applied machine learning for relevance ranking or personalization problems (e.g. feature engineering model evaluation or feedback loops). Experience working in small fast-moving cross-functional teams partnering closely with product data and platform stakeholders. This is a full-time role that can be held from one of our US offices or remotely in the United States. Compensation At Fetch we offer competitive compensation packages including base equity and benefits to the exceptional folks we hire. The base salary range for this position is $211353 - $248650. Discover our benefits and how our employees live rewarded at https//fetch.com/careers . At Fetch we'll give you the tools to feel healthy happy and secure through Equity We offer full-time employees equity in Fetch so that everyone can benefit from Fetch’s growth. 401k Match Dollar-for-dollar match up to 4%. Benefits for humans and pets We offer comprehensive medical dental and vision plans for everyone including your pets. Continuing Education Fetch provides ten thousand per year in education reimbursement. Employee Resource Groups Take part in employee-led groups that are centered around fostering a diverse and inclusive workplace through events dialogue and advocacy. The ERGs participate in our Inclusion Council with members of executive leadership. Paid Time Off On top of our flexible PTO Fetch observes 9 paid holidays as well as our year-end week-long break. Robust Leave Policies 20 weeks of paid parental leave for primary caregivers 14 weeks for secondary caregivers and a flexible return to work schedule. Calvin Care Cash Employees who are welcoming new family members will also receive a one time $2000 incentive to assist employees with covering the cost of childcare clothing diapers and much more! Flexible Work Environment Collaborate with your team in one of our stunning offices or you can work fully remotely from anywhere in the US. We’ll ensure you are equally equipped with the hardware and software you need to get your job done in the comfort of your home. (applicable for most roles) Fetch is an equal opportunity employer that embraces diversity inclusion and respect for all individuals. We do not discriminate on the basis of race color religion gender gender identity or expression sexual orientation age national origin marital status veteran status disability or any other characteristic protected by applicable law. Our commitment to inclusivity ensures that everyone is treated with dignity and has the opportunity to succeed based on their talent skills and potential. Fetch also provides reasonable accommodations to qualified individuals with disabilities or those with sincerely held religious beliefs as required by law. If you need assistance with the application process or require an accommodation please contact us at accommodations@fetch.com.

Data Scientist / Engineer (Healthcare Payment Integrity)

United States Remote

"Shift delivers AI agents that transform insurers' most critical work. By combining deep industry expertise and unmatched data resources Shift provides proven results that have earned the trust of hundreds of the world's leading insurers. Our insurance-grade AI is accurate explainable and secure—empowering human experts to move with unmatched speed total confidence and a renewed focus on the people they serve. Your browser does not support the video tag. Our culture is built on innovation trust and a drive to transform the insurance industry through our SaaS platform. We come from more than 50 different countries and cultures and together we are creating the future of insurance. Learn more at www.shift-technology.com About the Team This role is part of our Data Science team which is the largest team in our organization consisting of over 200+ Data Scientists throughout the world. Our Data Scientists work in a full lifecycle role and on a broad range of subjects acquiring extensive technical and professional experience in data science data engineering coding business understanding and client engagement. Our company is small enough that each person’s achievements have an impact on our overall performance yet big enough to be a world leader and innovator in our domain. As a member of the data science team you will be working alongside our technical experts and your role will be key to rolling out our enterprise level solutions to our clients. Key Responsibilities Your role will be to actively contribute to the US Health roadmap and clients and working on various data types such as structured claims data free text documents and images. Build and productionize data pipelines (structured text documents images) optimized for LLMs and multi-modal models. Design develop and deploy LLM-based solutions (RAG embeddings instruction tuning) for claims handling document understanding and related use cases. Experiment with the latest in Agentic AI technologies (Langchain/Langgraph OpenAI Agent SDK MCP A2A) and develop MVP for the next generation of payment integrity solutions. Create custom "" tools "" for the agent allowing it to query internal databases call external weather APIs or calculate impact force based on telemetry data. Establish rigorous evaluation frameworks (LLM-as-a-judge) to ensure the agent’s decisions are unbiased legally sound and explainable. Ensure responsible-AI practices privacy hallucination mitigation explainability and compliance. Lead client workshops present prototypes gather feedback and help define roadmap priorities. WHAT WE ARE LOOKING FOR We are looking for candidates with 3+ years of Data Science and Healthcare Insurance Payment Integrity experience with diverse skills to help us build excellent technology solutions for our clients and be proficient in the following skills Expert proficiency in production-level object-oriented programming (OOP) for building scalable and reliable systems. Proven hands-on experience with Large Language Models (LLMs) and generative AI techniques (including RAG embeddings prompt engineering and model tuning ) leveraging frameworks such as OpenAI/Anthropic or open-source variants. Solid foundation in ML fundamentals with practical experience in the full machine learning lifecycle including model evaluation monitoring versioning and deployment in production environments. Experience designing and implementing robust data pipelines for document OCR and multi-modal data workflows Agentic Frameworks Experience with integrating frameworks like LangChain/LangGraph OpenAI Agent SDK CrewAI A2A/MCP with Databricks or Azure-hosted models (e.g. DBRX OpenAI GPT-5.3 Anthropic Claude Google Gemini). Demonstrated ability to effectively engage with clients translate complex business needs into clear actionable technical solutions and manage stakeholder expectations. Highly Desired Skills Databricks Ecosystem Deep expertise in Mosaic AI (formerly MosaicML) Unity Catalog and Delta Lake . Good understanding of Spark data architecture is a plus. Experience using MLflow for the full lifecycle from experiment tracking and prompt engineering in the AI Playground to model evaluation. LI-MG1 LI-HYBRID The range listed is for base compensation. Your actual base salary will vary based on factors including location and individual qualifications objectively assessed during the interview process. In addition to base salary your total rewards package will include additional components such as incentive pay and benefits. If you're interviewing for this role speak with your Talent Acquisition Partner to learn more about the specific details for this position. Base Salary Pay Range $120000 $130000 USD To support our permanent full time employees at every stage of their careers and lives we provide a competitive total rewards and benefits package. Here are the global benefits we’d like to highlight Flexible remote and hybrid working options Competitive Salary and a variable component tied to personal and company performance Multiple Learning and Development opportunities including Focus Fridays a half-day each month to focus on learning and personal growth Generous PTO and paid holidays Mental health benefits 2 MAD Days per year (Make A Difference Days for paid volunteering) Additional benefits may be offered by country based on your eligibility - ask your recruiter for more information. Intern and Apprentice positions may receive some of these benefits - ask your recruiter for more details. AI tools are used to help review applications for this role. Read our AI in Recruitment Notice for what the AI considers how to request a human review and our most recent bias audit. At Shift we strive to be a diverse and inclusive workforce. We welcome applications from and hire people who will contribute to the diversity of our company without regard to race color religion marital status age national or ethnic origin physical or mental disability medical condition pregnancy genetic information gender identity or expression sexual orientation or other non-merit criteria. Shift Technology is committed to providing reasonable accommodations for qualified individuals with disabilities in our application and employment process. Should you require accommodation please email accommodation@shift-technology.com and we will work with you to meet your accessibility needs. Please be aware of scammers and only trust correspondence that comes from emails ending in ""shift-technology.com"". We will never do initial outreach to you via Whatsapp/Text/SMS never ask for banking information or personal identification numbers (ex. Social Security Number) as part of our recruitment process. Shift Technology does not accept unsolicited CVs from recruiters or employment agencies in response to the Shift Technology Careers page or a Shift Technology social media post. Any unsolicited CVs including those submitted directly to hiring managers are deemed to be the property of Shift Technology."

Staff Application Security Engineer

Remote United States

Company Background Censys’ mission is to be the one place to understand everything on the internet. Frustrated by the lack of trustworthy Internet intelligence we set out to create the industry’s most comprehensive accurate and up-to-date map of the Internet. Today Censys delivers real-time Internet intelligence and actionable threat insights to global governments over 50% of the Fortune 500 and leading threat intelligence providers worldwide. Location This position is remote within the United States or Canada. Censys we’re on a mission to provide best in class internet visibility and intelligence to the global security community. Our platform helps security teams uncover hidden threats gain actionable insights and build proactive defense strategies. Trusted by organizations worldwide Censys cuts through the noise to surface the most critical risks enabling teams to respond faster and stay ahead of attackers. We’re constantly pushing the boundaries of what’s possible to help our customers see and secure the internet more clearly than ever before. Role Summary Censys is seeking a Staff Application Security Engineer to join our Infrastructure and Operations Platform (SRE) team. In this role you’ll own the application security strategy for how Censys builds and ships software — designing the secure paths guardrails and automation that let our engineers develop and deploy quickly confidently and securely. You’ll set technical direction across the software lifecycle from infrastructure-as-code and container security to secure deployment workflows and the security of our AI/ML-enabled services. As a security company we hold ourselves to the standard we help our customers achieve this role is central to making that real. We expect all of our employees to consider customer happiness as our primary goal and to come to work every day eager to learn and educate helping to make us a better organization every day. What You’ll Do Own and drive the AppSec/DevSecOps program roadmap across engineering defining the strategy for embedding security into the SDLC through shift-left practices paved roads and automation rather than gates Design build and maintain DevSecOps tooling in Kubernetes and Google Cloud Platform (GCP) including support for AI/ML workloads Lead the integration of security into CI/CD pipelines — code scanning secret detection software composition analysis and infrastructure policy enforcement — partnering with engineering teams to adopt them without friction Deliver capabilities such as hardened service templates secure service catalogs and guardrails that reduce developer cognitive load and risk across the organization Set the security architecture direction for AI/ML workflows implementing controls around model training deployment and inference pipelines including access control artifact validation input/output sanitization and model provenance tracking Partner with CorpSec on company security and compliance initiatives owning the engineering side of the requirements by designing and implementing controls for SOC 2 and ISO27001 audit readiness as well as improving tooling around BCDR infrastructure policies and service inventory accuracy Provide technical leadership and mentorship raising the security bar through design reviews threat modeling and pragmatic guidance to engineers across all teams Participate in a shared on-call rotation with the Infrastructure and SRE teams supporting production uptime and security incident response readiness What You’ll Bring 10+ years of experience in Security Engineering DevSecOps SRE or related roles with a track record of leading security initiatives that span multiple teams Deep expertise securing Kubernetes environments including container images network policies and supply chain protections (e.g. Helm Crossplane) Strong experience with Application Security tooling — dependency scanning static analysis and policy enforcement — integrated into CI/CD pipelines such as GitHub Actions and ArgoCD and the ability to bridge engineering practices with Security Operations Strong understanding of attacker tactics techniques and procedures (TTPs) and familiarity with frameworks like MITRE ATT&CK Strong grasp of cloud services (GCP preferred) especially securing data pipelines model hosting endpoints and related infrastructure Proficiency with Infrastructure-as-Code (Terraform Crossplane or similar) and security scanning for cloud resources Proficiency with scripting and automation (e.g. Python Bash) The ability to thoughtfully participate in technical discussions and drive towards data-driven decisions amidst ambiguity and competing priorities Strong communication skills and empathy for developer needs with a demonstrated ability to embed secure practices without creating friction What Sets You Apart Experience building or scaling an AppSec or DevSecOps program from early maturity including establishing paved roads and measuring adoption Familiarity with commercial security platforms such as Orca Security (CNAPP/cloud security posture) and Aikido Security (application security scanning) is a plus Experience securing ML toolchains (e.g. TensorFlow PyTorch) and familiarity with AI-specific threats such as data leakage model inversion prompt injection and adversarial inputs Hands-on experience integrating and managing Web Application Firewalls (WAF) anti-DDoS systems and edge protection technologies Familiarity with monitoring and observability systems (e.g. Prometheus Grafana OpenTelemetry) with a focus on detecting security anomalies Familiarity with AI governance and compliance standards (e.g. EU AI Act NIST AI Risk Management Framework) Strong interest in harnessing AI and LLM tools as a force multiplier — using them to code smarter iterate faster boosting productivity and enhancing product capabilities For high cost of living areas (San Francisco Bay New York City and Seattle) the expected salary range for this position is $198000 USD – $233000 USD plus bonus eligibility and equity. For all other US locations the expected salary range for this position is $172000 USD – $216000 USD plus bonus eligibility and equity. Job level and actual compensation will be decided based on factors including but not limited to individual qualifications objectively assessed during the interview process (including skills and prior relevant experience potential impact and scope of role) market demands and specific work location. The listed range is a guideline and the range for this role may be modified. For roles that are available to be filled remotely the pay range is localized according to employee work location by a factor of between 83% and 100% of range. Please discuss your specific work location with your recruiter for more information. Censys offers a competitive benefits package to employees including equity health dental & vision coverage retirement with company contribution parental leave mental health & wellness benefits flexible PTO and a professional development stipend. Censys also offers sales incentive pay for most sales roles and an annual bonus plan for eligible non-sales roles. Censys’s compensation and benefits are subject to change and may be modified in the future. Please see our careers page for more details. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role participate in the interview process perform essential job functions and receive other benefits and privileges of employment. If you require accommodation please reach out to your recruiter. These modifications enable an individual with a disability to have an equal opportunity not only to get a job but successfully perform their job tasks to the same extent as people without disabilities. To ensure the integrity of our hiring process and facilitate a more personal connection we require all candidates to keep their cameras on during video interviews. Additionally if hired we would love to bring you to our HQ in Ann Arbor for in-person onboarding. By applying for this job the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with our Censys Privacy Policy Our roots are in Ann Arbor Michigan and our innovation is fueled by the team’s global perspectives. For this role we are open to remote employees across the continental US. We value diversity and are committed to creating an inclusive environment for all employees. Censys is an equal opportunity employer LI-DNI Note to external recruiters/agencies We are not currently engaging with third-party agencies for this role and will not accept unsolicited outreach. We kindly ask that you do not submit resumes or candidate profiles to our team. Identity Verification As part of our hiring process all candidates who receive an offer of employment will be asked to complete an identity verification through CLEAR. California Privacy Rights Notice Pursuant to the California Consumer Privacy Act (CCPA) we are providing you with notice that we collect personal information from job applicants for business purposes including evaluating your candidacy for employment conducting interviews and if applicable completing the hiring process. The categories of information we may collect include identifiers (such as name and contact information) professional or employment-related information (such as work history education and references) and other information you provide in your application. We do not sell or share your personal information. For more information on how we use and protect your personal information and your rights under the CCPA please refer to our Privacy Policy

Staff Applied AI Engineer

Remote

🚀 About Us We’re Bolt.new by StackBlitz! We’re the team that brought you WebContainers the first-of-its-kind technology that made it possible to run Node.js right inside your browser. That breakthrough kicked off our journey in 2019 and it’s what powers the blazing-fast online IDE used by over 1 million developers every month. But we didn’t stop there. We doubled down on everything we learned and built Bolt.new — the fastest way to go from idea to production without writing traditional code. It’s a next-gen AI-powered app builder that helps you create edit and deploy full-stack web and mobile apps instantly right in your browser. No installs. No setup. Just smart automation and instant dev environments that let you move at the speed of thought. We’re a fully remote team globally distributed deeply collaborative and seriously passionate about building the future of software development. This is your chance to join a small team with a big vision. If you love shipping fast solving real problems and pushing the boundaries of what’s possible we’d love to meet you. ✨ About This Opportunity As a Staff Engineer on the AI team you'll lead the technical direction of the AI agents that turn natural language into production-ready applications. This means shaping how we work with LLMs to solve our hardest problems maintaining context across large codebases orchestrating multi-step workflows that feel intuitive and handling everything from simple UI tweaks to complex architectural decisions. This isn't API integration work. You'll define the patterns and systems that govern how AI reasons about and generates full-stack applications driving initiatives across multiple teams and influencing our broader AI strategy. Your work shapes the experience of millions of users building real products with Bolt every day. 🛠️ How You'll Contribute Define AI Agent Architecture Set technical direction for how agents manage context orchestrate workflows and scale. Lead multi-model strategy Build evals and selection criteria across providers (OpenAI Anthropic Google) partner with provider teams to test new capabilities. Build tool-use & workflow foundations Design safe reliable interfaces for tool calling (search queries domain actions) evaluate frameworks (e.g. Vercel AI SDK LangGraph) and set org best practices. Drive cross-team execution Align product/design/engineering resolve tradeoffs and mentor engineers to raise AI engineering standards. Establish data & evaluation standards Own dataset methodology and the eval harness turn failure modes and conversation insights into measurable improvements. Drive Research and Innovation Experiment with prompting context handling and post-training share learnings externally when appropriate. 💡 Qualifications Deep LLM experience Built and scaled production LLM systems strong grasp of capabilities limits and emergent behavior. Prompt engineering Sets best practices and mentors across models and use cases. Software engineering Strong fundamentals designs scalable systems and makes pragmatic architectural calls. Strategic execution Drives ambiguous high-scope work end to end influences across teams. Systems thinking Spots process/communication/technical debt and improves team velocity. Model & agent literacy Tracks coding-agent/LLM advances understands model tradeoffs and the agent lifecycle. Data-driven leadership Builds data collection + eval harnesses turns insights into measurable improvements. Strong verbal and written English communication skills are required as this role involves frequent collaboration with team members stakeholders and customers where English is the primary working language. 🎯 Bonus Points Fine-tuning and alignment o f LLMs (SFT RLHF/RLAIF DPO/ORPO) Machine Learning Background Understanding of ML fundamentals and experience with model evaluation metrics. Open Source Contributions Experience contributing to or maintaining open-source AI/ML projects. Research Background Experience reading and implementing techniques from AI/ML research papers. External Presence Experience speaking at conferences publishing technical content or representing an organization in industry forums. 📌 A Few Notes You do not need a college degree to apply You do not need to be located in the U.S. — we’re remote-friendly You do not need to meet every qualification listed above

Sr. Software Engineer - ML Systems

Denver, Colorado, United States

About Cleerly We’re Cleerly – a healthcare company that’s revolutionizing how heart disease is diagnosed treated and tracked. We were founded in 2017 by one of the world’s leading cardiologists and are a growing team of world-class engineering operations medical affairs marketing and sales leaders. We raised $223M in Series C funding in 2022 which has enabled rapid growth and continued support of our mission. In December 2024 we received an additional $106M in a Series C extension funding. Most of our teams work remotely and have access to our offices in Denver Colorado New York New York Dallas Texas and Lisbon Portugal with some roles requiring you to be on-site in a location. Cleerly has created a new standard of care for heart disease through value-based AI-driven precision diagnostic solutions with the goal of helping prevent heart attacks. Our technology goes beyond traditional measures of heart disease by enabling comprehensive quantification and characterization of atherosclerosis or plaque buildup in each of the heart arteries. Cleerly’s solutions are supported by more than a decade of performing some of the world’s largest clinical trials to identify important findings beyond symptoms that increase a person’s risk of heart attacks. At Cleerly we collaborate digitally and use a wide variety of systems. Our people use Google Workspace (GMail Drive Docs Sheets Slides) Slack Confluence/Jira and Zoom Video prior experience in these areas is a plus. Role or department specific technology needs may vary and will be listed as requirements in the job description. While we are mostly a remote company travel is required for some team meetings and cross function projects typically once per month or once per quarter for some roles like sales or external facing roles travel could be up to 90% of the time. Cleerly is committed to providing safe and effective medical software that meets customer needs and our intended use. The adherence to all applicable regulatory and statutory requirements establishes a clear framework for setting measurable quality objectives. Our commitment to continually improving our products and processes proactively manages risks ensuring ongoing compliance throughout the entire software lifecycle. Understanding this role's relevance and importance is critical to achieving Cleerly's quality objectives. About the Opportunity We are seeking a Senior Software Engineer to design build deploy monitor and optimize production-ready ML services in regulated healthcare. You will work hands-on to package test orchestrate deploy and maintain ML models improve workflows and implement CI/CD and automated testing to ensure reliability performance and faster delivery of business value. Responsibilities Design build and deploy scalable AI/ML services with clear service boundaries making pragmatic trade-offs across performance maintainability security and long-term extensibility. Own full lifecycle delivery of complex features from architectural planning and API design to implementation and post-release observability. Define and enforce robust verification and validation for AI services including unit integration and end-to-end testing to ensure reliability of code in production and compliance with our Quality Management System and regulatory standards. Integrate CI/CD and MLOps practices for automated model builds testing and deployment. Translate product requirements into well-defined technical designs proactively shaping implementation details. Contribute to the necessary technical documentation required for regulatory submissions. Collaborate cross functionally to reduce knowledge silos and ensure continuity in critical systems through cross-training and documentation. Requirements Bachelor’s or Master’s degree in Computer Science Software Engineering or related field 7+ years of software engineering experience with expertise in AI production systems (Python PyTorch) and data services (SQL Postgres NoSQL Redis or similar). Experience with unit integration testing for ML models including data validation correctness checks and reproducibility. Experience with CI/CD Orchestration tools (Airflow MLflow Kubernetes Terraform) and ML/data platforms(SageMaker Databricks Unity Catalog Snowflake/Snowpark) to build scalable ML data pipelines and model workflows. Strong collaboration skills to work effectively with ML scientists engineers and regulatory teams. Comfortable operating in ambiguity and driving clarity across product engineering and business stakeholders. This role is eligible for a 15% target annual bonus resulting in the following base salary and Total Target Compensation (TTC) ranges Base Salary $153000 - $179000 TTC $176000 - $206000 Total Target Compensation (TTC) Total Cash Compensation (including base pay variable pay commission bonuses etc.) Additionally stock options paid benefits and employee perks are part of your total rewards. Working at Cleerly takes HEART. Discover our Core Values H Humility - be a servant leader E Excellence - deliver world-changing results A Accountability - do what you say expect the same from others R Remarkable - inspire & innovate with impact T Teamwork - together we win Don’t meet 100 percent of the qualifications? Apply anyway and help us diversify our candidate pool and workforce. We value experience whether gained formally or informally on the job or through other experiences. Job duties activities and responsibilities are subject to change by our company. OUR COMPANY IS AN EQUAL OPPORTUNITY EMPLOYER. We do not discriminate on the basis of race color national origin ancestry citizenship status protected veteran status religion physical or mental disability marital status sex sexual orientation gender identity or expression age or any other basis protected by law ordinance or regulation. For more information see our Privacy Policy ( https//cleerlyhealth.com/privacy-policy) . All official emails will come from @cleerlyhealth.com email accounts. Cleerly