Senior Software Engineer Full-Time Position ($125-150k) Portland Oregon About Us Rapta is revolutionizing American manufacturing with our AI-powered vision systems. Our cutting-edge software platform helps expand manufacturing capacity 30% by reducing errors 90%+ and automating quality control and inspection processes. Position Overview We're seeking an experienced Senior Software Engineer to join our team in developing distributed cutting-edge applied AI systems. This is a full-time position working directly with our engineering team and CTO to drive technical innovation and mentor mid-level and junior engineers. What You'll Do Contribute to the architecture and development of production-grade distributed computer vision systems Drive research initiatives and experimental design to advance our AI servicing systems Build scalable data processing pipelines for training and validation Provide technical guidance to junior team members What We're Looking For 5+ years of professional experience developing computer vision systems Deep curiosity for all software and artificial intelligence related topics Expert-level Python programming and software architecture skills Strong system design and architecture skills Excellence in technical communication and documentation Required Technical Skills Expertise in prompt engineering and mature integration of modern AI-driven coding assistants in your development workflow Expertise in building scalable and distributed ML training and inference pipelines Experience with TensorFlow PyTorch or similar deep learning frameworks Proficiency with version control and CI/CD practices Experience with cloud infrastructure and distributed computing Nice to Have Previous experience in manufacturing industrial automation or quality control systems Understanding of industrial cameras sensors and imaging hardware Knowledge of manufacturing processes and quality standards (ISO Six Sigma) Experience with real-time processing and edge computing constraints Experience with computer vision libraries (OpenCV scikit-image) Why Join Us? Work with cutting-edge AI technology in a high-impact industry Competitive compensation and benefits package Professional development and learning opportunities Opportunity to shape manufacturing technology that impacts American industry Location Requirements We work remote but prefer candidates to be local in the Portland Oregon metro area Equal Opportunity Rapta is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action Employer making decisions without regard to race color religion creed sex sexual orientation gender identity marital status national origin age veteran status disability or any other protected class. How to Apply No recruiters or agencies - we only accept applications directly from applicants. qTuLCZV6fQ

Chief Technology Officer (CTO) Location: Singapore (preferred) Remote-friendly for the right candidate Industry: Deep Tech NDT Laser-based Inspection AI/ML Company: NexaScan Pte. Ltd. About NexaScan At NexaScan we're reinventing how the world inspects critical infrastructure. Backed by the Singapore Deep Tech Alliance and leading industrial partners we are building the next-generation non-destructive testing (NDT) platform using laser shearography AI and smart automation. Our mission is simple: Make industrial inspection faster smarter and radically more reliable. Whether it’s detecting sub-surface defects in weld cladding or ensuring safety in critical assets NexaScan is pioneering a solution that goes beyond today’s standards. If you're an enterprising technologist who thrives in ambiguity loves building deep-tech products from scratch and wants to lead a breakthrough in a decades-old industry — we want to meet you. Role: Chief Technology Officer (CTO) We are looking for a visionary Chief Technology Officer (CTO) who can lead the development of our shearography-based NDT platform from lab to field. You will drive the technical strategy R&D iterations product roadmap and team formation for a highly interdisciplinary hardware-software product. You’ll collaborate with customers researchers and product teams to turn bleeding-edge technology into a robust user-centric solution. What You’ll Do Own the end-to-end technical vision of NexaScan’s core product — a laser shearography-based NDT system with integrated AI-driven defect analysis. Iterate and innovate on the technology — improve precision stability automation portability and field usability. Build and lead a multidisciplinary engineering team across optics mechanical design embedded systems software and machine learning. Design and validate prototypes from breadboard setups to field-ready devices. Collaborate closely with pilot customers to align the product roadmap with real-world industrial pain points. Guide software development for image processing UX and AI-driven diagnostics. Ensure product decisions align with long-term scalability manufacturability and compliance. Help raise technical capital — through grants investors or industry pilots. Be comfortable with failure ambiguity and iteration — and lead through it with clarity and resilience. What We’re Looking For 10+ years of experience in engineering/product development. Background in systems engineering mechatronics applied physics or related domains . Strong working knowledge of optics lasers mechanical stability sensors and control systems. Experience leading cross-functional product teams that span hardware software and AI. Proven track record of building complex tech products from scratch to market. Prior experience as a founder CTO or tech/product lead in an early-stage startup or deep-tech venture. Passion for solving customer-centric problems with technical innovation. Excellent communication leadership and decision-making under ambiguity. Bonus experience Exposure to non-destructive testing (NDT) laser interferometry or shearography. Experience with industrial certifications standards (e.g. ISO ASTM). Familiarity with OpenCV ML frameworks real-time imaging or hardware/software co-design. Strong industry network across deep tech manufacturing or industrial automation. Why Join Us? Shape the technical DNA of a venture-backed deep-tech company solving a real industrial problem. Work with leading researchers investors and industrial partners. Build a product with global impact — in energy aerospace infrastructure and beyond. Equity stake in a fast-scaling venture. A culture that values grit curiosity openness and bold thinking. NexaScan is supported by IMI plc: IMI plc is a global specialist engineering company that creates breakthrough solutions. We design build and service highly engineered products in fluid and motion control applications. IMI Venture Studio operates as a catalyst for innovation within IMI plc. We incubate new ideas technologies and business models that will future proof the energy and industrial sector. How we achieve this is by partnering with founders to build new ventures.

Requisition 39151: Data Scientist A resume helps you stand out to hiring managers and recruiters your resume communicates your experience and your brand. While it is not required we encourage you to include an up-to-date resume along with a completed job application to give you the best opportunity to be considered. A complete resume helps us to better understand your unique background relevant experiences and passions. We look forward to learning about you. Norfolk Southern offers a unique opportunity to be part of our proud legacy that spans nearly 200 years. We are a customer-centric operations-driven team dedicated to advancing safety serving communities and driving innovation for tomorrow's rail. As part of Norfolk Southern you’ll join a collaborative team where there are opportunities for growth across the organization. We are building a culture where everyone can thrive by owning and driving exceptional results being humble and leading with trust serving our customers with excellence and collaborating and coaching to win. Job Description Who we are and what we do: The Artificial Intelligence and Data Science team is centralized across the entire organization. This team works with various product teams across various business units to define high-impact business problems solve them using novel techniques and execute and monitor them throughout their lifecycle. Most of our models make it to production they never sit in a research lab. As a team we do quite a bit of research to stay up-to-date with the latest technologies and algorithms. This team is high performance collaborative and idea generating. What Kind Of Problems Do We Solve Norfolk Southern’s problem set is unique and our high-frame cameras beside our tracks captures images of trains and rail cars as they pass. We design various Deep Learning and Computer Vision algorithms to detect certain objects of interest or issues and defects. We optimize performance and deploy at the edge for real-time scoring and notify our mechanical personnel upon detections. Our locomotives stream 350+ sensor information in real-time. We create predictive models to predict various component failures hours days and sometimes months in advance. There are high-frame cameras beside our tracks capturing images of trains and rail cars as they pass. We design various Deep Learning and Computer Vision algorithms to detect certain objects of interest or issues and defects. We then optimize their performance and deploy them at the edge for real-time scoring and notification of our mechanical personnel upon detections. This position will focus on Statistics and Machine Learning models. (regression classification clustering) What Tools Do We Use Python Spark PySpark Jupyter notebook PyCharm VS Code as IDEs. Tensorflow Keras PyTorch and MXNet for Deep Learning and OpenCV for traditional Computer Vision. Responsibilities Effectively utilize appropriate statistical machine learning and deep learning techniques to solve various business problems. Collaborate with various departments to identify opportunities for process improvement and developing analytics use-cases. Provide guidance support and mentoring to junior team members. Evaluate accuracy and quality of data sources as well as the designed models. Stays up to date with the latest models and changes in the technology. Design and develop (almost) production ready code. Communicate results to colleagues and business partners. Coordinate with application development teams to integrate developed models with existing applications. Education Required Bachelors in computer science electrical engineering machine learning statistics or related field. Skills Required Bachelors in computer science electrical engineering machine learning statistics or related field. 1-3 years of experience as a Data Scientist Research Scientist Machine Learning Engineer or Operations Research. Scripting and programing experience with Python and knowledge of Spark. Skills Preferred Advanced degree e.g. Ph.D. or M.S. in deep learning neural networks machine learning data science computer science electrical engineering engineering statistics engineering industrial systems mathematical sciences applied mathematics or Physics. 3+ years of experience as a Data Scientist Research Scientist Machine Learning Engineer or Operations Research. Hands-on and theoretical knowledge of various machine learning and deep learning algorithm and frameworks such as: xgboost/LightGBM Random Forests SVMs PCA t-sne kmeans DBSCAN. Knowledge of Spark (PySpark) is a plus Knowledge of the cloud computing environment (e.g. Databricks) is a plus Expertise with Time Series problems. Familiarity with the railroad industry is highly preferred. Work Conditions Environment: Hybrid 3 days on-site and remote work 2 days per week. Shift Work: No On-Call: No Weekend Work: No Company Overview Since 1827 Norfolk Southern Corporation (NYSE: NSC) and its predecessor companies have safely moved the goods and materials that drive the U.S. economy. Today it operates a customer-centric and operations-driven freight transportation network. Committed to furthering sustainability Norfolk Southern helps its customers avoid 15 million tons of yearly carbon emissions by shipping via rail. Its dedicated team members deliver more than 7 million carloads annually from agriculture to consumer goods and is the largest rail shipper of auto products and metals in North America. Norfolk Southern also has the most extensive intermodal network in the eastern U.S. serving a majority of the country’s population and manufacturing base with connections to every major container port on the Atlantic coast as well as the Gulf of Mexico and Great Lakes. Learn more by visiting www.NorfolkSouthern.com. At Norfolk Southern we believe in celebrating our individuality. By leveraging the unique backgrounds and viewpoints of our employees we can create a culture of innovation respect and inclusion. We know that employees thrive in a workplace where differing viewpoints ideas and experiences are freely shared and valued. As such we encourage all employees to contribute their distinctive skills and capabilities to our organization. Equal employment opportunities are available to all applicants regardless of race color religion age sex national origin disability status genetic information veteran status sexual orientation and gender identity. Together we power progress.

Chief Technology Officer (CTO) – Hardware and Software for Long-Range Imaging and Interfaces Location: Hoevelaken (The Netherlands) or Remote/Hybrid Reports To: Chief Executive Officer (CEO) Department: Technology / Engineering Job Type: Full-time Executive Role overview We are seeking a strategic and hands-on CTO to own the technology vision and execution for end-to-end long-range imaging systems. The successful candidate will lead the architecture development and integration of high-performance camera hardware and software including sensors optics embedded platforms processing pipelines and robust interfacing with control systems storage and networks. This role requires deep expertise in hardware-software co-design real-time imaging edge processing and scalable product development with a proven track record of delivering reliable imaging systems in complex environments. Key responsibilities • Technology strategy and roadmap • Define and execute the company’s technology strategy for long-range imaging solutions aligning with product market and business goals. • Build and maintain a clear multi-year technology roadmap covering hardware firmware software AI/vision interfaces security and platform integrations. • System architecture and design • Own end-to-end system architecture for imaging platforms including sensor selection and integration optics mechanical design constraints thermal and power management and ruggedisation. • Design scalable software architectures for embedded firmware camera control image processing pipelines compression transmission and data management. • Define interfaces and protocols for external systems (control workstations ground stations cloud services and other subsystems). • Hardware development leadership • Lead hardware teams (sensors optics FPGA/ASIC/SoC embedded electronics PCB/PCB assembly mechanical and thermal design) through concept prototyping validation and production. • Guide sensor integration calibration stabilization color science and image quality assurance (IQ PSNR/SSIM metrics etc.). • Software and firmware leadership • Oversee embedded firmware (RTOS/bare-metal) device drivers real-time image capture processing and streaming pipelines. • Guide edge AI/vision workloads (on-device inference CV algorithms sensor fusion) and ensure deterministic latency and reliability. • Ensure robust data handling compression encryption streaming and interoperability with cloud and on-prem data systems. • Interfaces and interoperability • Define and implement camera interfaces and data links (e.g. GigE Vision USB3 Vision CoaXPress Camera Link PCIe MIPI CSI-2 Ethernet CAN/RS-485 wireless options as applicable). • Ensure seamless interfacing with control software mission management systems and third-party analytics or data platforms. • Security reliability and compliance • Establish and enforce secure boot firmware signing OTA updates vulnerability management and end-to-end security practices. • Implement reliability engineering fault tolerance redundancy fail-safe behavior and rigorous test plans. • Ensure compliance with applicable standards and regulations (EMC/EMI FCC/CE RoHS IP ratings environmental and safety standards industry-specific requirements as needed). • Product development lifecycle and governance • Drive Stage-Gate processes risk management and robust verification and validation strategies. • Manage budgets schedules and vendor relationships protect IP through strong architecture and documentation. • Partner with hardware software mechanical optics QA and manufacturing teams to ensure on-time high-quality product launches. • Team leadership and culture • Build and mentor multi-disciplinary teams influence engineering culture toward collaboration quality and innovation. • Collaborate with product management sales and customers to translate requirements into technical roadmaps. • Customer and market engagement • Engage with customers and strategic partners to capture needs perform pilots and accelerate field deployments. • Stay current with imaging sensing and computer vision trends to inform product differentiation. • Performance metrics and governance • Define and track success metrics (technical readiness time-to-market defect rates field reliability customer satisfaction MTBF imaging performance KPIs). • Provide regular executive-level updates on technology status risks and opportunities. Qualifications: • Education: Master’s or PhD in Electrical Engineering Optical Engineering Computer Vision/AI Computer Science or a related field. MBA or equivalent business/leadership experience is a plus. • Experience: 12+ years of R&D leadership in hardware and software for imaging systems demonstrable track record shipping complex integrated camera platforms from concept to production. • Technical depth: • Deep knowledge of imaging sensors (CMOS/CCD) optics stabilization calibration color science and image quality metrics. • Strong background in embedded systems firmware development (C/C++) real-time operating systems device drivers and hardware-software co-design. • Experience with image processing computer vision and edge AI/ML inference (OpenCV TensorRT frameworks suitable for embedded devices). • Proficiency with camera interfaces and data protocols (GigE Vision USB3 Vision CoaXPress Camera Link PCIe MIPI CSI-2 Ethernet/Networking cloud integration). • Familiarity with hardware design considerations: PCB design FPGAs/SoCs DSPs thermal management power budgets EMI/EMC and ruggedization. • Leadership and collaboration: Proven ability to lead cross-functional globally distributed teams strong communication strategic thinking and stakeholder management. • Problem-solving and execution: Comfortable making data-driven decisions under ambiguity adept at balancing speed risk and quality. • Communication: Excellent verbal and written communication ability to translate complex technical concepts for non-technical executives and customers. • Travel: Willingness to travel as needed (e.g. field tests customer deployments partner reviews). Preferred qualifications • Experience in defense aerospace surveillance industrial inspection or automotive imaging contexts with relevant compliance experience. • Experience with FPGA/ASIC design or sensor integration at system level. • Knowledge of calibration pipelines photogrammetry and geospatial imaging concepts. • Prior experience with regulatory audits and supplier/partner ecosystems. What we offer: • Competitive compensation and executive bonus structure. • Comprehensive benefits package • Flexible work arrangements supportive of remote collaboration where feasible. • Opportunity to lead a critical high-impact technology program and shape the future of long-range imaging in a fast-growing company. How to apply • Please submit your resume a cover letter outlining your relevant leadership and a portfolio or summary of imaging systems you’ve shipped (including interfaces and performance highlights). to dvl@evvelongrange.com

Teamworks the Operating System for Sports powers more than 6500 sports organizations worldwide including collegiate athletic departments and teams across all major professional leagues. With almost 500 exceptional employees located in over a dozen different countries Teamworks’ software solutions drive the operations of the most recognizable sports properties in the world. Following our recent acquisition of Telemetry Sports we are expanding our Intelligence product suite to integrate cutting-edge computer vision and machine learning capabilities. You'll join our AI and Computer Vision R&D team to develop flexible scalable multi-sport player tracking systems that push the limits of computer vision machine learning and systems integration. Working alongside our Engineering Manager you'll help automate the time-consuming tasks that burden coaching and analytics staff freeing elite organizations to focus on what truly matters: winning. Our proprietary computer vision and machine learning systems already deliver elite-level player tracking and analytics to over 50 NFL and college football programs. Now you'll help us scale these capabilities across multiple sports while integrating them into the broader Teamworks ecosystem that serves over 6500 organizations globally. This is an exciting opportunity to help shape the future of athlete performance management in one of the fastest-growing companies in sports tech. #### Game Plan - How You'll Drive Impact: Develop and deploy advanced computer vision models including object detection multi-object tracking camera calibration and semantic segmentation for player tracking and data generation across multiple sports Build and scale high-performance systems for video and image data ingestion processing and analysis that can handle the demands of professional and collegiate sports programs Design modular extensible architectures for multi-sport data pipelines that integrate seamlessly with Teamworks' existing Intelligence platform Contribute to the full CV/ML lifecycle from model development and training through evaluation deployment monitoring and iterative refinement Optimize systems for GPU acceleration leveraging CUDA/Nvidia hardware for both training and inference workloads in cloud environments Drive next-generation R&D initiatives including 3D body pose tracking real-time analysis systems and integration with LLM/NLP research efforts Collaborate with cross-functional teams to rapidly evaluate and integrate top open-source models and methods into production systems #### Player Profile - What You Bring to the Team: Strong computer vision and machine learning fundamentals with a deep understanding of deep learning CNNs tracking algorithms and modern CV techniques Proficiency in Python development with solid experience using PyTorch and OpenCV for computer vision applications Experience building scalable systems for video and image data processing including real-world dataset collection labeling and model training System design expertise with the ability to design and implement modular maintainable software architectures for complex ML pipelines Cloud computing experience with AWS or similar platforms for scalable processing and deployment of CV models Linux environment proficiency and working knowledge of CUDA programming for GPU optimization Applied machine learning experience with hands-on experience taking models from research through production deployment Strong problem-solving skills with the ability to work effectively in a small highly technical fast-moving team environment #### The Ideal Recruit - Skills & Experience: Multi-camera systems and 3D pose estimation experience with understanding of camera calibration and spatial tracking Real-time or near-real-time computer vision systems development with performance optimization experience Custom GUI development for data collection annotation and model evaluation workflows C++ programming experience for performance-critical modules and system optimization Sports analytics background with understanding of game dynamics and athletic performance metrics Research experience in computer vision machine learning or related fields from industry or academic settings Open-source contribution history with experience rapidly evaluating and integrating new methods and tools End-to-end system building experience taking ideas from concept through working product deployment #### Champion Mindset - Traits for Success: Fast learner who can quickly pick up new methods tools and technologies in the rapidly evolving CV/ML landscape Builder mentality with passion for taking systems from idea to working product that delivers real-world impact Clear communicator who collaborates effectively within small teams and can bridge technical and business requirements Innovation-driven with enthusiasm for pushing the boundaries of what's possible in sports technology Results-oriented with focus on delivering high-visibility projects that have immediate impact on professional and collegiate sports Passionate and driven with readiness to make an impact from day one in a fast-paced high-stakes environment Quality-focused with commitment to building robust production-ready systems that perform reliably at scale Aligned with our core values: honesty humility hard work commitment innovation and exceptionalism #### The Perks of Playing for Teamworks: At Teamworks you’re not just joining a company—you’re joining a team that’s shaping the future of sports. We believe that success starts with investing in our people and here’s how we support and reward every teammate: Play to Win: Grow your career as we grow. Shape the future of sports technology while building a career that scales with your ambition. Winning Culture: Join a global team of high achievers innovators and problem solvers who value teamwork and humility. Competitive Compensation: Earn a competitive salary performance-based incentives and equity so you share in our success. Comprehensive Benefits: Access region-specific benefits designed to support your well-being including health coverage life and disability insurance retirement plans unlimited paid time off flexible and remote work options catered lunches (where applicable) and more. Investing in Your Growth: Receive stipends for learning and development home office equipment and company gear to set you up for success—no matter where you are in the world. ### Compensation Philosophy: For this role the salary range is $140000-180000 with your final offer determined by your experience skills and interview performance. Every Teamworks teammate is an owner with equity aligning your success with ours. We’ve built our compensation framework to attract retain and reward top performers. We believe in pay for performance ensuring that your growth and impact are reflected in your rewards. As Teamworks grows so do your opportunities—whether that’s through advancing your career contributing to game-changing innovations or building long-term financial security. We continuously review and refine our compensation practices to ensure fairness and alignment with both company goals and individual aspirations. We encourage open discussions about career growth and compensation and your hiring manager is always available to answer your questions. At Teamworks we’re committed to supporting you in and out of the game—empowering you to do your best work while enjoying meaningful rewards. #### Inside our Locker Room: Teamworks is the leading operating system for elite sports empowering organizations worldwide to optimize performance streamline operations and unlock athlete potential. Founded in 2006 we’ve grown from a messaging platform for collegiate football into a global leader with over $165 million in funding and a technology suite that supports every phase of the athlete lifecycle. Our solutions span four key categories: Personnel: Manage the complete roster lifecycle from recruiting and NIL management to financial operations. Performance: Optimize athlete health and training with advanced tools for nutrition strength & conditioning and holistic performance tracking. Operations: Streamline logistics communication compliance and inventory management to keep teams running efficiently. Intelligence: Leverage data-driven insights to inform decisions and maximize competitive advantage across professional and collegiate sports. At Teamworks we’re driven by innovation and a passion for sports. We serve more than 6500 sports organizations globally helping teams achieve excellence on and off the field. Join us and be part of the future of sports technology. Our offices are open for work collaboration and optional team-building events – but as a remote-first company we also have teammates working from places across the globe including New York London Perth and Austin. ### What to Expect When Interviewing at Teamworks Our interview process is designed to be transparent engaging and reflective of our team culture. You can expect authentic conversations clear steps and the opportunity to connect with key team members. We encourage you to ask questions and get to know us as much as we get to know you. Learn more about our process here. Teamworks is an equal opportunity employer - if you live our core values every day and are honest hardworking humble committed innovative and an all-around exceptional person you'll thrive at Teamworks. We are committed to building a diverse and inclusive workforce and take affirmative action to not discriminate based on race religion color national origin ancestry physical disability mental disability medical condition genetic information marital status sex gender gender identity gender expression age sexual orientation veteran or military status or any other legally protected characteristics. This policy applies to all employment practices within our organization including but not limited to recruiting hiring promotion termination compensation benefits and training. Teamworks is committed to providing reasonable accommodations for candidates with disabilities who need assistance during the hiring process. To request a reasonable accommodation please email hiring@teamworks.com. To all recruitment agencies: Teamworks does not accept agency resumes. Please do not forward resumes to our jobs alias Teamwork employees or any other organization location. Teamworks is not responsible for any fees related to unsolicited resumes. The pay range for this role is: 140000 - 180000 USD per year(Remote (United States))

About Illuminex AI We are a Toronto-based technology company transforming inspection workflows in high-stakes environments starting with airfields. Our flagship platform InspectEx integrates data from multiple sensors (visible thermal LiDAR GPS IMU) to detect issues such as foreign object debris pavement surface conditions lighting faults and non-compliant snowbanks in real time. We automatically log inspection data deliver actionable alerts and provide insights that help organizations operate more safely efficiently and intelligently. Who We're Looking For We’re looking for a pragmatic resourceful ML Engineer to join our startup team. This role isn’t about chasing perfect models it’s about shipping effective solutions that solve real industrial problems and make airfields safer smarter and more efficient. We want people who are fast learners independent thinkers and natural problem-solvers. If you thrive in ambiguity can ship production ML under real-world constraints and believe communication is as important as code then you’ll fit right in. What You'll Do Design build and deploy ML models with emphasis on computer vision. Drive the ML lifecycle ( data collection/creation preprocessing storage model training evaluation deployment and monitoring ) in collaboration with our VP Engineering and Technical Artists. Optimize models for edge devices (e.g. NVIDIA Jetson) and cloud platforms. Translate messy operational challenges into clear technical solutions. Ship fast: deliver a simple working solution in weeks then improve it. Share openly. We succeed as a team not as siloed researchers. What You Bring 3+ years of professional hands-on ML and software development experience. Academic projects are fine but we hire people who have shipped and maintained live systems. Proven production deployment. You’ve dealt with performance scaling and things breaking in the field not just benchmarks in a lab. Strong communicator. Clear communication is a core technical skill . You can explain trade-offs set expectations and build trust across teams. Problem-solver’s mindset. You’re curious adaptable and driven to find the fastest path to real value. Technical foundation. Python PyTorch/TensorFlow solid ML theory software engineering fundamentals (data structures algorithms testing). Degree in CS Engineering or related field. Bonus Points For: Exposure to AI for autonomous driving and sensor fusion is a big plus . For example BEVFusion or V2XFusion models or Kalman filtering for location estimation. MLOps tools + cloud services (AWS Azure GCP). C++ for ML/CV libraries (TensorFlow OpenCV). Point-cloud (e.g. LiDAR) or database (e.g. SQL) experience. Compensation & Benefits Salary: $115000–$145000 CAD based on experience. Equity: Meaningful participation in our plan. Vacation: 3 weeks to start 4 in year 2 5 in year 3. Purpose Leave: 30 days off every two years at 75% pay. Flexibility: Remote-first flexible hours. Our Interview Process We value your time and aim for a transparent and efficient process: Phone screen (30 min): Background + project discussion. Technical interview (Karat): 1-on-1 tailored interview focused on problem-solving & coding. Leadership interview (90 min): Project presentation & discussion + team fit. Illuminex AI is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive supportive and kind environment for all employees.

Teamworks the Operating System for Sports powers more than 6500 sports organizations worldwide including collegiate athletic departments and teams across all major professional leagues. With almost 500 exceptional employees located in over a dozen different countries Teamworks’ software solutions drive the operations of the most recognizable sports properties in the world. Following our recent acquisition of Telemetry Sports we are expanding our Intelligence product suite to integrate cutting-edge computer vision and machine learning capabilities. You'll join our AI and Computer Vision R&D team to develop flexible scalable multi-sport player tracking systems that push the limits of computer vision machine learning and systems integration. Working alongside our Engineering Manager you'll help automate the time-consuming tasks that burden coaching and analytics staff freeing elite organizations to focus on what truly matters: winning. Our proprietary computer vision and machine learning systems already deliver elite-level player tracking and analytics to over 50 NFL and college football programs. Now you'll help us scale these capabilities across multiple sports while integrating them into the broader Teamworks ecosystem that serves over 6500 organizations globally. This is an exciting opportunity to help shape the future of athlete performance management in one of the fastest-growing companies in sports tech. #### Game Plan - How You'll Drive Impact: Develop and deploy advanced computer vision models including object detection multi-object tracking camera calibration and semantic segmentation for player tracking and data generation across multiple sports Build and scale high-performance systems for video and image data ingestion processing and analysis that can handle the demands of professional and collegiate sports programs Design modular extensible architectures for multi-sport data pipelines that integrate seamlessly with Teamworks' existing Intelligence platform Contribute to the full CV/ML lifecycle from model development and training through evaluation deployment monitoring and iterative refinement Optimize systems for GPU acceleration leveraging CUDA/Nvidia hardware for both training and inference workloads in cloud environments Drive next-generation R&D initiatives including 3D body pose tracking real-time analysis systems and integration with LLM/NLP research efforts Collaborate with cross-functional teams to rapidly evaluate and integrate top open-source models and methods into production systems #### Player Profile - What You Bring to the Team: Strong computer vision and machine learning fundamentals with a deep understanding of deep learning CNNs tracking algorithms and modern CV techniques Proficiency in Python development with solid experience using PyTorch and OpenCV for computer vision applications Experience building scalable systems for video and image data processing including real-world dataset collection labeling and model training System design expertise with the ability to design and implement modular maintainable software architectures for complex ML pipelines Cloud computing experience with AWS or similar platforms for scalable processing and deployment of CV models Linux environment proficiency and working knowledge of CUDA programming for GPU optimization Applied machine learning experience with hands-on experience taking models from research through production deployment Strong problem-solving skills with the ability to work effectively in a small highly technical fast-moving team environment #### The Ideal Recruit - Skills & Experience: Multi-camera systems and 3D pose estimation experience with understanding of camera calibration and spatial tracking Real-time or near-real-time computer vision systems development with performance optimization experience Custom GUI development for data collection annotation and model evaluation workflows C++ programming experience for performance-critical modules and system optimization Sports analytics background with understanding of game dynamics and athletic performance metrics Research experience in computer vision machine learning or related fields from industry or academic settings Open-source contribution history with experience rapidly evaluating and integrating new methods and tools End-to-end system building experience taking ideas from concept through working product deployment #### Champion Mindset - Traits for Success: Fast learner who can quickly pick up new methods tools and technologies in the rapidly evolving CV/ML landscape Builder mentality with passion for taking systems from idea to working product that delivers real-world impact Clear communicator who collaborates effectively within small teams and can bridge technical and business requirements Innovation-driven with enthusiasm for pushing the boundaries of what's possible in sports technology Results-oriented with focus on delivering high-visibility projects that have immediate impact on professional and collegiate sports Passionate and driven with readiness to make an impact from day one in a fast-paced high-stakes environment Quality-focused with commitment to building robust production-ready systems that perform reliably at scale Aligned with our core values: honesty humility hard work commitment innovation and exceptionalism #### The Perks of Playing for Teamworks: At Teamworks you’re not just joining a company—you’re joining a team that’s shaping the future of sports. We believe that success starts with investing in our people and here’s how we support and reward every teammate: Play to Win: Grow your career as we grow. Shape the future of sports technology while building a career that scales with your ambition. Winning Culture: Join a global team of high achievers innovators and problem solvers who value teamwork and humility. Competitive Compensation: Earn a competitive salary performance-based incentives and equity so you share in our success. Comprehensive Benefits: Access region-specific benefits designed to support your well-being including health coverage life and disability insurance retirement plans unlimited paid time off flexible and remote work options catered lunches (where applicable) and more. Investing in Your Growth: Receive stipends for learning and development home office equipment and company gear to set you up for success—no matter where you are in the world. ### Compensation Philosophy: For this role the salary range is $140000-180000 with your final offer determined by your experience skills and interview performance. Every Teamworks teammate is an owner with equity aligning your success with ours. We’ve built our compensation framework to attract retain and reward top performers. We believe in pay for performance ensuring that your growth and impact are reflected in your rewards. As Teamworks grows so do your opportunities—whether that’s through advancing your career contributing to game-changing innovations or building long-term financial security. We continuously review and refine our compensation practices to ensure fairness and alignment with both company goals and individual aspirations. We encourage open discussions about career growth and compensation and your hiring manager is always available to answer your questions. At Teamworks we’re committed to supporting you in and out of the game—empowering you to do your best work while enjoying meaningful rewards. #### Inside our Locker Room: Teamworks is the leading operating system for elite sports empowering organizations worldwide to optimize performance streamline operations and unlock athlete potential. Founded in 2006 we’ve grown from a messaging platform for collegiate football into a global leader with over $165 million in funding and a technology suite that supports every phase of the athlete lifecycle. Our solutions span four key categories: Personnel: Manage the complete roster lifecycle from recruiting and NIL management to financial operations. Performance: Optimize athlete health and training with advanced tools for nutrition strength & conditioning and holistic performance tracking. Operations: Streamline logistics communication compliance and inventory management to keep teams running efficiently. Intelligence: Leverage data-driven insights to inform decisions and maximize competitive advantage across professional and collegiate sports. At Teamworks we’re driven by innovation and a passion for sports. We serve more than 6500 sports organizations globally helping teams achieve excellence on and off the field. Join us and be part of the future of sports technology. Our offices are open for work collaboration and optional team-building events – but as a remote-first company we also have teammates working from places across the globe including New York London Perth and Austin. ### What to Expect When Interviewing at Teamworks Our interview process is designed to be transparent engaging and reflective of our team culture. You can expect authentic conversations clear steps and the opportunity to connect with key team members. We encourage you to ask questions and get to know us as much as we get to know you. Learn more about our process here. Teamworks is an equal opportunity employer - if you live our core values every day and are honest hardworking humble committed innovative and an all-around exceptional person you'll thrive at Teamworks. We are committed to building a diverse and inclusive workforce and take affirmative action to not discriminate based on race religion color national origin ancestry physical disability mental disability medical condition genetic information marital status sex gender gender identity gender expression age sexual orientation veteran or military status or any other legally protected characteristics. This policy applies to all employment practices within our organization including but not limited to recruiting hiring promotion termination compensation benefits and training. Teamworks is committed to providing reasonable accommodations for candidates with disabilities who need assistance during the hiring process. To request a reasonable accommodation please email hiring@teamworks.com. To all recruitment agencies: Teamworks does not accept agency resumes. Please do not forward resumes to our jobs alias Teamwork employees or any other organization location. Teamworks is not responsible for any fees related to unsolicited resumes. The pay range for this role is: 140000 - 180000 USD per year(Remote (United States))

6-month contract (extensions highly likely) £480-£520 per day Outside ir35 Remote contract We're looking for an experienced Python Engineer with a strong understanding of AI/ML/ AWS and commercial expertise in deploying AI systems using state-of-the-art machine learning libraries cloud infrastructure and modern Python-based tooling. What You'll Be Working On Building production-grade AI systems using LLMs Object Detection and OCR Leveraging frameworks like Hugging Face Transformers PyTorch YOLO OpenCV and Pillow Designing and deploying AI services via FastAPI AWS Lambda EKS/ECS and S3 Creating scalable data pipelines with Pandas NumPy SQLAlchemy and Airflow Supporting real-time model inference edge deployments and API integrations Working closely with a technical lead in a service-based and serverless architecture Essential Python Engineer Skills And Experience Strong Python 3.9+ skills with deep understanding of OOP async/await and debugging Proven experience building and deploying AI/ML systems in the cloud (AWS) Solid grasp of CI/CD infrastructure as code (CDK) and Agile methodologies Familiarity with TDD pair programming and modern development practices Desirable Advanced fine-tuning techniques (LoRA QLoRA) RLHF multi-modal AI or edge deployment experience ML experiment tracking (MLflow Weights & Biases) and A/B testing strategies If you possess the above technical skills and hands-on experience please apply today! McGregor Boyall is an equal opportunity employer and do not discriminate on any grounds. LNKD1UKTJ

Got superpower? This is not just a job. We show up each day ready to explore the unlimited possibilities of space-based technologies and utilise them to combat the most critical problems. We believe that with passion purpose risk-taking and willingness to learn we can make a positive impact on the world. Role - Data Scientist About Little Place Labs Little Place Labs is reimagining how satellites process and deliver intelligence from orbit. We specialize in satellite edge computing developing advanced solutions that process data directly on board enabling real-time analysis rapid decision-making and a significant reduction in data downlink needs. Our vision is to turn satellites into autonomous intelligent systems that don’t just capture data but interpret it instantly. This capability unlocks critical advantages across defense environmental monitoring and global communications providing insights with speed efficiency and security right from space. Based across the US Europe and India our team works on solving complex challenges in earth observation space situational awareness and autonomous satellite operations. Our rapidly growing team of mission-driven space enthusiasts is passionate innovative and committed to a better future for planet Earth the little place that we all call home. Position Summary For candidates based in India only. As the Data Scientist and reporting to the Head of Data Science you will be a part of the India development team of the LPL’s space data analytics product Orbitfy explore different use cases for the technology and work closely with the CTO to strategize the product and the company's roadmap for the next 3-4 years. Little Place Lab's data science team is the heart and the brain of our product development offering space-derived analytics as the source of truth for key stakeholders so they can make critical and timely decisions. We’re looking for someone who is hands-on embraces AI tools in day-to-day workflows and leverages them to boost productivity and accelerate results. You will work closely with engineering product and the CTO to apply sophisticated modeling techniques to a modern data stack and build the future of Space Edge Computing. This is a remote-first role requiring excellent communication skills to coordinate with global teams and external partners. Some travel within India or internationally may be required. Responsibilities AI-Driven Development: Proactively use modern AI tools to enhance productivity across the data science lifecycle (data wrangling model design testing documentation etc.). Algorithm Development: Design and implement state-of-the-art computer vision and ML models for satellite imagery (optical SAR multispectral hyperspectral thermal). Model Optimization: Train and fine-tune deep learning models for edge deployment (on-board satellites) balancing performance with efficiency power and computational constraints. Provide MLOps orchestration and workflow best practices. Cross-Functional Collaboration: Work with GIS engineers software teams and product managers to integrate ML solutions into Orbitfy’s broader pipeline. Innovation & Research: Stay ahead of emerging trends in Edge AI ML and remote sensing and translate them into practical solutions for space applications. Data Handling: Process large complex datasets from diverse sensors design robust preprocessing augmentation and feature extraction workflows. Communication & Reporting: Clearly articulate technical concepts results and trade-offs to both technical and non-technical stakeholders in a distributed team. Quality & Validation: Ensure robustness reliability and reproducibility of solutions through systematic testing benchmarking and validation. Documentation and Reporting: Maintain detailed documentation of algorithms models and processes prepare reports and presentations for technical and non-technical audiences. SUCCESS METRICS Delivery of LPL’s machine learning modules on schedule for satellite missions or user trials. Work on the deployment of LPL’s products for multiple satellite missions. Demonstrated productivity gains and accelerated project outcomes through the adoption of AI tools. Effective collaboration and communication across distributed teams. Contributions that shape the product roadmap and strengthen Little Place Labs’ position in edge-based space intelligence. Requirements Education: Bachelor’s or Master’s in Computer Science Data Science Artificial Intelligence or a related field. Experience: 3–8 years in data science with demonstrated hands-on experience in computer vision image processing or machine learning. Technical Skills: + Strong in Python experience with frameworks like TensorFlow PyTorch OpenCV. + General Software engineering: cloud infrastructure docker git best practices etc. + Exposure to C/C++ CUDA ONNX TensorRT OpenVINO or FPGA acceleration is a plus. + Experience with architectures such as CNNs ViTs GANs and foundational models etc + Experience with model compression is a plus.. Domain Knowledge: Familiarity with satellite imagery and remote sensing preferred (but not mandatory if strong ML background). Good understanding of embedded systems from the perspective of deploying AI. Edge AI Focus: Experience or keen interest in deploying models in constrained environments (e.g. embedded systems on-board devices). Experience or understanding of FPGAs is desirable not mandatory. Experience working with NVIDIA Jetson and Xilinx Versal will be a big plus. Candidates with such experience will be preferred. Soft Skills: + Ability to work independently in a remote-first setup. + Excellent communication skills to bridge technical and product conversations across geographies. + Curiosity creativity and a problem-solving mindset. INTERESTED? GOT QUESTIONS? Reach out to us at jobs@littleplace.com with your CV or LinkedIn profile. EQUAL OPPORTUNITY EMPLOYMENT INFORMATION Individuals seeking employment at Little Place Labs are considered without regards to race color religion national origin age sex marital status ancestry physical or mental disability veteran status gender identity or sexual orientation.

ABOUT LITTLE PLACE LABS Little Place Labs is reimagining how satellites process and deliver intelligence from orbit. We specialize in satellite edge computing developing advanced solutions that process data directly on board enabling real-time analysis rapid decision-making and a significant reduction in data downlink needs. Our vision is to turn satellites into autonomous intelligent systems that don’t just capture data but interpret it instantly. This capability unlocks critical advantages across defense environmental monitoring and global communications providing insights with speed efficiency and security right from space. Based across the US Europe and India our team works on solving complex challenges in earth observation space situational awareness and autonomous satellite operations. Our rapidly growing team of mission-driven space enthusiasts is passionate innovative and committed to a better future for planet Earth the little place that we all call home. POSITION SUMMARY For candidates based in India only. As the Data Scientist and reporting to the Head of Data Science you will be a part of the India development team of the LPL’s space data analytics product Orbitfy explore different use cases for the technology and work closely with the CTO to strategize the product and the company's roadmap for the next 3-4 years. Little Place Lab's data science team is the heart and the brain of our product development offering space-derived analytics as the source of truth for key stakeholders so they can make critical and timely decisions. We’re looking for someone who is hands-on embraces AI tools in day-to-day workflows and leverages them to boost productivity and accelerate results. You will work closely with engineering product and the CTO to apply sophisticated modeling techniques to a modern data stack and build the future of Space Edge Computing. This is a remote-first role requiring excellent communication skills to coordinate with global teams and external partners. Some travel within India or internationally may be required. RESPONSIBILITIES AI-Driven Development: Proactively use modern AI tools to enhance productivity across the data science lifecycle (data wrangling model design testing documentation etc.). Algorithm Development: Design and implement state-of-the-art computer vision and ML models for satellite imagery (optical SAR multispectral hyperspectral thermal). Model Optimization: Train and fine-tune deep learning models for edge deployment (on-board satellites) balancing performance with efficiency power and computational constraints. Provide MLOps orchestration and workflow best practices. Cross-Functional Collaboration: Work with GIS engineers software teams and product managers to integrate ML solutions into Orbitfy’s broader pipeline. Innovation & Research: Stay ahead of emerging trends in Edge AI ML and remote sensing and translate them into practical solutions for space applications. Data Handling: Process large complex datasets from diverse sensors design robust preprocessing augmentation and feature extraction workflows. Communication & Reporting: Clearly articulate technical concepts results and trade-offs to both technical and non-technical stakeholders in a distributed team. Quality & Validation: Ensure robustness reliability and reproducibility of solutions through systematic testing benchmarking and validation. Documentation and Reporting: Maintain detailed documentation of algorithms models and processes prepare reports and presentations for technical and non-technical audiences. SUCCESS METRICS Delivery of LPL’s machine learning modules on schedule for satellite missions or user trials. Work on the deployment of LPL’s products for multiple satellite missions. Demonstrated productivity gains and accelerated project outcomes through the adoption of AI tools. Effective collaboration and communication across distributed teams. Contributions that shape the product roadmap and strengthen Little Place Labs’ position in edge-based space intelligence. REQUIREMENTS Education: Bachelor’s or Master’s in Computer Science Data Science Artificial Intelligence or a related field. Experience: 3–8 years in data science with demonstrated hands-on experience in computer vision image processing or machine learning. Technical Skills: > Strong in Python experience with frameworks like TensorFlow PyTorch OpenCV. > General Software engineering: cloud infrastructure Docker git best practices etc. > Exposure to C/C++ CUDA ONNX TensorRT OpenVINO or FPGA acceleration is a plus. > Experience with architectures such as CNNs ViTs GANs and foundational models etc > Experience with model compression is a plus.. Domain Knowledge: Familiarity with satellite imagery and remote sensing preferred (but not mandatory if strong ML background). Good understanding of embedded systems from the perspective of deploying AI. Edge AI Focus: Experience or keen interest in deploying models in constrained environments (e.g. embedded systems on-board devices). Experience or understanding of FPGAs is desirable not mandatory. Experience working with NVIDIA Jetson and Xilinx Versal will be a big plus. Candidates with such experience will be preferred. Soft Skills: > Ability to work independently in a remote-first setup. > Excellent communication skills to bridge technical and product conversations across geographies. > Curiosity creativity and a problem-solving mindset. EQUAL OPPORTUNITY EMPLOYMENT INFORMATION Individuals seeking employment at Little Place Labs are considered without regard to race color religion national origin age sex marital status ancestry physical or mental disability veteran status gender identity or sexual orientation.