Company Description When you join Turnitin you'll be welcomed into a company that is a recognized innovator in the global education space. For over 25 years Turnitin has partnered with educational institutions to promote honesty consistency and fairness across all subject areas and assessment types. Over 21000 academic institutions publishers and corporations use our services: Feedback Studio Originality Gradescope ExamSoft Similarity and iThenticate. Experience a remote-centric culture that empowers you to work with purpose and accountability in a way that best suits you supported by a comprehensive package that prioritizes your overall well-being. Our diverse community of colleagues are all unified by a shared desire to make a difference in education. Turnitin is a global organization with team members in over 35 countries including the United States Mexico United Kingdom Australia Japan India and the Philippines. Turnitin LLC is an equal opportunity employer- vets/disabled. Job Description Machine Learning is integral to the continued success of our company. Our product roadmap is exciting and ambitious. You will join a global team of curious helpful and independent scientists and engineers united by a commitment to deliver cutting-edge well-engineered Machine Learning systems. You will work closely with product and engineering teams across Turnitin to integrate Machine Learning into a broad suite of learning teaching and integrity products. We are in a unique position to deliver Machine Learning used by hundreds of thousands of instructors teaching millions of students around the world. Your contributions will have global reach and scale. Billions of papers have been submitted to the Turnitin platform and hundreds of millions of answers have been graded on the Gradescope and Examsoft platforms. Machine Learning powers our AI Writing detection system gives automated feedback on student writing investigates authorship of student writing revolutionizes the creation and grading of assessments and plays a critical role in many back-end processes. Responsibilities and Requirements We’re an applied science group leaning towards modern Deep Learning. We expect our Senior Machine Learning Scientists to have a well-balanced set of skills both in the Science as well as Software Engineering aspects of (Deep) Machine Learning. You will focus on developing novel and deployable ML models and solutions where no ready-made solution may be available. Therefore you need to be conversant enough with the mathematics of machine learning and deep neural networks such that you can construct novel model architectures loss functions training methods training loops etc. You are also expected to keep abreast of the latest research advancements in AI and Deep Learning across modalities and apply those to your work. While we leverage ready-made training platforms we also write our own training loops. Additionally the models need to be directly deployable in our products therefore production level coding and software engineering proficiency is required. You may train large models (up to 100s of billions of parameters) therefore ability to train on multiple GPUs and nodes and knowledge of the latest model training and inferencing advancements is necessary. Next the models must perform well in production not only in terms of accuracy but also compute-cost. Delivering such software requires a sufficiently deep Computer Science background. Dataset exploration generation (synthetic) design construction and analysis are a routine part of the job and may occupy a significant fraction of your time. Also datasets can be large (billions of samples) therefore the ability to write parallel and efficient pipelines is a necessary skill. You will also be involved in code & model maintenance code hardening (preparing the model and code for production pipelines) developing and staging demos and presenting your work within the company as well as via publications in peer reviewed venues (preferably A/A+ rated). Day-to-day your responsibilities are to: Research and develop production grade Machine Learning models as described above. Optimize models for scaled production usage. Work with colleagues in the AI team other Engineering teams subject matter experts Product Management Marketing Sales and Customer support to explore ongoing product issues challenges and opportunities and then recommend innovative ML/AI based solutions. Help out with ad-hoc one-off tasks as a team player within the AI team. Work with subject matter experts to curate and generate optimal datasets following responsible data collection and model maintenance practices. Explore and access SQL no-SQL and web data and write efficient parallel pipelines. Review and design datasets to ensure data quality. Investigate weaknesses of models in production and work on pragmatic solutions. Utilize adopt and fine-tune off the shelf models including LLMs exposed via API (through prompt engineering and agents) and locally hosting LMs and other foundation models. Stay current in the field - read research papers experiment with new architectures and LLMs and share your findings. Write clean efficient and modular code with automated tests and appropriate documentation. Stay up to date with technology and platforms make good technological choices and be able to explain them to the organization. Work with downstream teams to productionize your work and ensure that it makes into a product release. Communicate insights as well as the behavior and limitations of models to peers subject matter experts and product owners. Present and publish your work. Qualifications Required Qualifications: Master's degree or PhD in Computer Science Electrical Engineering AI Machine Learning applied math or related field or outstanding previous achievements demonstrating excellence in Deep Machine Learning Computer Science and Software Engineering. At least 5 years of industry experience in Machine / Deep Learning (we use the python ecosystem for ML) Computer Science and Software Engineering. A strong understanding of the math and theory behind machine learning and deep learning is a prerequisite. Academic publications in peer reviewed conferences or journals related to Machine Learning - preferably A/A+ rated such as NeurIPS ICML ICLR AAAI TMLR JMLR IJCAI ICANN KDD ACL EMNLP NAACL COLING CVPR ICCV ECCV IEEE etc. Machine / Deep Learning development skills including popular platforms (we use AWS SageMaker Hugging Face Transformers PyTorch PyTorch Lightning Ray scikit-learn Jupyter Weights & Biases etc.). An understanding of Language Models using and training / fine-tuning and a familiarity with industry-standard LM families. Excellent communication and teamwork skills. Fluent in written and spoken English. Would be a plus: We’re an applied science group therefore Software development proficiency is a requirement. Experience working with text data to build Deep Learning and ML models both supervised and unsupervised. Experience with deep learning in other modalities such as vision and speech would be a strong bonus. A Computer Science educational background is preferred as opposed to statistics or pure mathematics. Familiarity in building front-ends (Gradio Streamlit Dash or more standard React Javascript Flask) for simple demos POCs and prototypes. Experience with advanced prompting / agentic-systems and fine-tuning or training an LLM using industry accepted platforms. Showcase previous work (e.g. via a website presentation open source code). Familiarity in coding for at-scale production ranging from best practices to building back-end API services or stand-alone libraries. Essential dev-ops skills (we use Docker AWS EC2/Batch/Lambda). Additional Information The expected annual base salary range for this position is: $111000/year to $185000/year. This position is bonus eligible / commission-based. As a Remote-First company actual compensation will be provided in writing at the time of offer if extended and is determined by work location and a range of other relevant factors including but not limited to: experience skills degrees licensures certifications and other job-related factors. Internal equity market and organizational factors are also considered. Total Rewards @ Turnitin Turnitin maintains a Total Rewards package that is competitive within the local job market. People tend to think about their Total Rewards monetarily — solely as regular pay plus bonus or commission. This is what they earn in exchange for what they do. However Turnitin delivers more than just these components. Beyond the intrinsic rewards of unleashing your potential to positively impact global education and thriving in an organization that is free of politics and full of humble inclusive and collaborative teammates the extrinsic rewards at Turnitin include generous time off and health and wellness programs that offer choice and flexibility and provide a safety net for the challenges that life presents from time to time. Experience a remote-centric culture that empowers you to work with purpose and accountability in a way that best suits you supported by a comprehensive package that prioritizes your overall well-being. Our Mission is to ensure the integrity of global education and meaningfully improve learning outcomes. Our Values underpin everything we do. Customer Centric - We realize our mission to ensure integrity and improve learning outcomes by putting educators and learners at the center of everything we do. Passion for Learning - We seek out teammates that are constantly learning and growing and build a workplace which enables them to do so. Integrity - We believe integrity is the heartbeat of Turnitin. It shapes our products the way we treat each other and how we work with our customers and vendors. Action & Ownership - We have a bias toward action and empower teammates to make decisions. One Team - We strive to break down silos collaborate effectively and celebrate each other’s successes. Global Mindset - We respect local cultures and embrace diversity. We think globally and act locally to maximize our impact on education. Global Benefits Remote First Culture Health Care Coverage Education Reimbursement Competitive Paid Time Off 4 Self-Care Days per year National Holidays 2 Founder Days + Juneteenth Observed Paid Volunteer Time Charitable contribution match Monthly Wellness or Home Office Reimbursement Access to Modern Health (mental health platform) Parental Leave Retirement Plan with match/contribution varies by country Seeing Beyond the Job Ad At Turnitin we recognize it’s unrealistic for candidates to fulfill 100% of the criteria in a job ad. We encourage you to apply if you meet the majority of the requirements because we know that skills evolve over time. If you’re willing to learn and evolve alongside us join our team! Turnitin LLC is committed to the policy that all persons have equal access to its programs facilities and employment. All qualified applicants will receive consideration for employment without regard to race color religion sex sexual orientation gender identity national origin disability or status as a protected veteran.

"With 1000 intelligence professionals over $300M in sales and serving over 1900 clients worldwide Recorded Future is the world's most advanced and largest intelligence company! ### Manager Data Engineering - Graph Quality Recorded Future combats cyber security threats by delivering actionable intelligence from the Security Intelligence Graph. The Graph Quality team aggregates data from various sources and Indicators of Compromise (IOCs) to ensure that risk is properly attributed in the defender space graph. ### What You'll Do: Manage a team of 3-4 developers Mentor the team plan team goals and lead Agile scrum meetings to ensure that engineering deliverables are completed in a timely manner with high quality Develop data pipelines to analyze and ingest data at scale Identify scope and own technical solutions to drive the successful execution of projects Create technical project plans and drive the successful execution of projects with input from our Product team and other developers on your team Collaborate with Data Scientists Data Engineers and business leaders to scope and implement technical solutions ### What You'll Bring: 4+ years of previous team leadership experience 5+ years of programming and experience in Data Science including 1+ years of experience with Python programming 3+ years of experience with cloud computing tools e.g. from AWS Azure or Google Cloud 1+ years of experience managing or leading a team Experience writing scalable production-grade applications and ETL/ELT pipelines Efficient & accurate problem solving skills including the ability to debug both software and data Proven ability to analyze data and apply statistical techniques to draw accurate impactful conclusions Proven success in delivering projects from design and implementation to release Excellent attention to detail & ability to work independently while delivering high-quality results Excellent written & verbal communication when collaborating with colleagues across various locations and timezones designing technical approaches and writing documentation Eagerness to continue learning and teaching new skills to team members in order to raise the bar across the team Track record of presenting information to stakeholders with varying levels of technical expertise Experience engaging with technical leaders across geographies and divisions/companies ### Preferred Qualifications: Familiarity with both batch and streaming pipelines Familiarity with any of the following: message buses (e.g. Kafka RabbitMQ) NoSQL databases (e.g. MongoDB AWS Neptune Neo4j) ElasticSearch Bachelor's/Master's degree in Computer Science Mathematics Statistics Engineering or equivalent experience Exposure to ML approaches including experience productizing ML models Experience with developing REST APIs with Python frameworks (e.g. Flask Django FastAPI) The base salary range for this full-time position is $150000 - 187000. Our salary ranges are determined by role level and location. The range displayed reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range individual pay is determined by state work location and additional factors including job-related skills experience and relevant education or training. This position may be eligible for incentive compensation equity and medical dental vision life insurance and 401K. Your recruiter can share more about the specific details of the compensation and benefit package during the hiring process. #LI-Remote Why should you join Recorded Future? Recorded Future employees (or ""Futurists"") represent over 40 nationalities and embody our core values of having high standards practicing inclusion and acting ethically. Our dedication to empowering clients with intelligence to disrupt adversaries has earned us a 4.8-star user rating from Gartner and more than 45 of the Fortune 100 companies as clients. Want more info? Blog & Podcast: Learn everything you want to know (and maybe some things you'd rather not know) about the world of cyber threat intelligence Linkedin Instagram & Twitter: What's happening at Recorded Future The Record: The Record is a cybersecurity news publication that explores the untold stories in this rapidly changing field Timeline: History of Recorded Future Recognition: Check out our awards and announcements We are committed to maintaining an environment that attracts and retains talent from a diverse range of experiences backgrounds and lifestyles. By ensuring all feel included and respected for being unique and bringing their whole selves to work Recorded Future is made a better place every day. If you need any accommodation or special assistance to navigate our website or to complete your application please send an e-mail with your request to our recruiting team at careers@recordedfuture.com Recorded Future is an equal opportunity and affirmative action employer and we encourage candidates from all backgrounds to apply. Recorded Future does not discriminate based on race religion color national origin gender including pregnancy sexual orientation gender identity age marital status veteran status disability or any other characteristic protected by law. Recorded Future will not discharge discipline or in any other manner discriminate against any employee or applicant for employment because such employee or applicant has inquired about discussed or disclosed the compensation of the employee or applicant or another employee or applicant. Recorded Future does not administer a lie detector test as a condition of employment or continued employment. This is in compliance with the law of the Commonwealth of Massachusetts and in alignment with our hiring practices across all jurisdictions. Notice to Agency and Search Firm Representatives: Recorded Future will not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to Recorded Future including those sent to our employees or through our website will become the property of Recorded Future. Recorded Future will not be liable for any fees related to unsolicited resumes. Agencies must have a valid written agreement in place with Recorded Future's recruitment team and must receive written authorization before submitting resumes. Submissions made without such agreements and authorization will not be accepted and no fees will be paid."

"With 1000 intelligence professionals over $300M in sales and serving over 1900 clients worldwide Recorded Future is the world's most advanced and largest intelligence company! We are looking for a Principal Data Engineer to drive improvements in the Security Intelligence Graph. ### What You'll Do: Identify scope and own technical solutions necessary to achieve data convergence within the defender space of the Security Intelligence Graph Align analyze and ingest asset maps into the Security Intelligence Graph Develop productize monitor and maintain data pipelines at scale Build tools and APIs to facilitate access to data and analytics developed from the intelligence graph Analyze and explain patterns in data to drive business-critical decisions Create technical project plans and drive the successful execution of projects with input from our Product team and other developers on your team Collaborate with Data Scientists Data Engineers and business leaders to identify and scope technical solutions ### What You'll Bring: Master's degree in Computer Science Mathematics Statistics Engineering or equivalent experience 5+ years of Python programming and a minimum of 7 years' experience in Data Science 3+ years of experience with some/all of the following: + Message buses (e.g. Kafka RabbitMQ) MongoDB graph databases like AWS Neptune/Neo4j cloud computing tools and ElasticSearch + ML approaches and productizing ML models + Developing REST APIs with Python frameworks (e.g. Flask Django FastAPI) + Architecting and delivering production-grade applications and ETL/ELT pipelines + Applying statistical techniques to draw accurate impactful conclusions Leadership experience: + Ability to present information to stakeholders with varying levels of technical expertise + Experience engaging with technical leaders across geographies and divisions/companies + Excellent written & verbal communication when collaborating with colleagues across various locations and timezones designing technical approaches and writing documentation + Eagerness to continue learning and teaching new skills to team members in order to raise the bar across the team Proven success in architecting leading and delivering high-impact projects Efficient & accurate problem solving skills including the ability to debug both software and data Excellent attention to detail & ability to work independently while delivering high-quality results The base salary range for this full-time position is $127000 - $160000. Our salary ranges are determined by role level and location. The range displayed reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range individual pay is determined by state work location and additional factors including job-related skills experience and relevant education or training. This position may be eligible for incentive compensation equity and medical dental vision life insurance and 401K. Your recruiter can share more about the specific details of the compensation and benefit package during the hiring process. #LI-Remote Why should you join Recorded Future? Recorded Future employees (or ""Futurists"") represent over 40 nationalities and embody our core values of having high standards practicing inclusion and acting ethically. Our dedication to empowering clients with intelligence to disrupt adversaries has earned us a 4.8-star user rating from Gartner and more than 45 of the Fortune 100 companies as clients. Want more info? Blog & Podcast: Learn everything you want to know (and maybe some things you'd rather not know) about the world of cyber threat intelligence Linkedin Instagram & Twitter: What's happening at Recorded Future The Record: The Record is a cybersecurity news publication that explores the untold stories in this rapidly changing field Timeline: History of Recorded Future Recognition: Check out our awards and announcements We are committed to maintaining an environment that attracts and retains talent from a diverse range of experiences backgrounds and lifestyles. By ensuring all feel included and respected for being unique and bringing their whole selves to work Recorded Future is made a better place every day. If you need any accommodation or special assistance to navigate our website or to complete your application please send an e-mail with your request to our recruiting team at careers@recordedfuture.com Recorded Future is an equal opportunity and affirmative action employer and we encourage candidates from all backgrounds to apply. Recorded Future does not discriminate based on race religion color national origin gender including pregnancy sexual orientation gender identity age marital status veteran status disability or any other characteristic protected by law. Recorded Future will not discharge discipline or in any other manner discriminate against any employee or applicant for employment because such employee or applicant has inquired about discussed or disclosed the compensation of the employee or applicant or another employee or applicant. Recorded Future does not administer a lie detector test as a condition of employment or continued employment. This is in compliance with the law of the Commonwealth of Massachusetts and in alignment with our hiring practices across all jurisdictions. Notice to Agency and Search Firm Representatives: Recorded Future will not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to Recorded Future including those sent to our employees or through our website will become the property of Recorded Future. Recorded Future will not be liable for any fees related to unsolicited resumes. Agencies must have a valid written agreement in place with Recorded Future's recruitment team and must receive written authorization before submitting resumes. Submissions made without such agreements and authorization will not be accepted and no fees will be paid."

Position: Python Developer Experience: 1–6 years (Freshers welcome to apply) Location: Remote / Anywhere in India Employment Type: Full-Time About the Role We are seeking talented and motivated Python Developers to join our growing team. Whether you are a fresher eager to start your career or an experienced professional looking to build scalable solutions this role will provide you with opportunities to contribute to real-world projects and collaborate with skilled developers across industries. Key Responsibilities Design develop test and maintain Python-based applications. Write clean efficient and reusable code. Work with databases (SQL/NoSQL) such as PostgreSQL MySQL or MongoDB. Build and consume RESTful APIs and integrate third-party services. Collaborate with cross-functional teams including front-end developers designers and product managers. Debug and troubleshoot application issues and propose improvements. Stay updated with Python ecosystem tools frameworks and industry best practices. Required Skills & Qualifications Strong proficiency in Python programming. Experience with frameworks such as Django Flask or FastAPI (preferred but not mandatory for freshers). Basic knowledge of databases (SQL/NoSQL). Understanding of REST APIs and integration methods. Familiarity with version control systems like Git. Strong analytical and problem-solving abilities. Good communication and teamwork skills. Preferred Skills (Good to Have) Experience with cloud platforms (AWS Azure GCP). Familiarity with containerization tools like Docker. Exposure to front-end technologies (React.js Angular or Vue.js). Knowledge of unit testing and CI/CD pipelines. Who Can Apply? Freshers who have strong Python fundamentals and have done academic projects internships or self-learning. Experienced professionals (1–6 years) who have worked on real-world Python applications and can contribute independently. Candidates who are self-driven eager to learn and comfortable working in a remote setup. Why Join Us? Work remotely from anywhere in India. Opportunity to work on diverse projects across industries. Exposure to the latest tools technologies and best practices. A collaborative environment with career growth and learning opportunities. Job Type: Full-time Pay: ₹303822.35 - ₹2530585.90 per year Work Location: Remote

Company Description When you join Turnitin you'll be welcomed into a company that is a recognized innovator in the global education space. For over 25 years Turnitin has partnered with educational institutions to promote honesty consistency and fairness across all subject areas and assessment types. Over 21000 academic institutions publishers and corporations use our services: Feedback Studio Originality Gradescope ExamSoft Similarity and iThenticate. Experience a remote-centric culture that empowers you to work with purpose and accountability in a way that best suits you supported by a comprehensive package that prioritizes your overall well-being. Our diverse community of colleagues are all unified by a shared desire to make a difference in education. Turnitin is a global organization with team members in over 35 countries including the United States Mexico United Kingdom Australia Japan India and the Philippines. Turnitin LLC is an equal opportunity employer- vets/disabled. Job Description Machine Learning is integral to the continued success of our company. Our product roadmap is exciting and ambitious. You will join a global team of curious helpful and independent scientists and engineers united by a commitment to deliver cutting-edge well-engineered Machine Learning systems. You will work closely with product and engineering teams across Turnitin to integrate Machine Learning into a broad suite of learning teaching and integrity products. We are in a unique position to deliver Machine Learning used by hundreds of thousands of instructors teaching millions of students around the world. Your contributions will have global reach and scale. Billions of papers have been submitted to the Turnitin platform and hundreds of millions of answers have been graded on the Gradescope and Examsoft platforms. Machine Learning powers our AI Writing detection system gives automated feedback on student writing investigates authorship of student writing revolutionizes the creation and grading of assessments and plays a critical role in many back-end processes. Responsibilities and Requirements We’re an applied science group leaning towards modern Deep Learning. We expect our Senior Machine Learning Scientists to have a well-balanced set of skills both in the Science as well as Software Engineering aspects of (Deep) Machine Learning. You will focus on developing novel and deployable ML models and solutions where no ready-made solution may be available. Therefore you need to be conversant enough with the mathematics of machine learning and deep neural networks such that you can construct novel model architectures loss functions training methods training loops etc. You are also expected to keep abreast of the latest research advancements in AI and Deep Learning across modalities and apply those to your work. While we leverage ready-made training platforms we also write our own training loops. Additionally the models need to be directly deployable in our products therefore production level coding and software engineering proficiency is required. You may train large models (up to 100s of billions of parameters) therefore ability to train on multiple GPUs and nodes and knowledge of the latest model training and inferencing advancements is necessary. Next the models must perform well in production not only in terms of accuracy but also compute-cost. Delivering such software requires a sufficiently deep Computer Science background. Dataset exploration generation (synthetic) design construction and analysis are a routine part of the job and may occupy a significant fraction of your time. Also datasets can be large (billions of samples) therefore the ability to write parallel and efficient pipelines is a necessary skill. You will also be involved in code & model maintenance code hardening (preparing the model and code for production pipelines) developing and staging demos and presenting your work within the company as well as via publications in peer reviewed venues (preferably A/A+ rated). Day-to-day your responsibilities are to: Research and develop production grade Machine Learning models as described above. Optimize models for scaled production usage. Work with colleagues in the AI team other Engineering teams subject matter experts Product Management Marketing Sales and Customer support to explore ongoing product issues challenges and opportunities and then recommend innovative ML/AI based solutions. Help out with ad-hoc one-off tasks as a team player within the AI team. Work with subject matter experts to curate and generate optimal datasets following responsible data collection and model maintenance practices. Explore and access SQL no-SQL and web data and write efficient parallel pipelines. Review and design datasets to ensure data quality. Investigate weaknesses of models in production and work on pragmatic solutions. Utilize adopt and fine-tune off the shelf models including LLMs exposed via API (through prompt engineering and agents) and locally hosting LMs and other foundation models. Stay current in the field - read research papers experiment with new architectures and LLMs and share your findings. Write clean efficient and modular code with automated tests and appropriate documentation. Stay up to date with technology and platforms make good technological choices and be able to explain them to the organization. Work with downstream teams to productionize your work and ensure that it makes into a product release. Communicate insights as well as the behavior and limitations of models to peers subject matter experts and product owners. Present and publish your work. Qualifications Required Qualifications: Master's degree or PhD in Computer Science Electrical Engineering AI Machine Learning applied math or related field or outstanding previous achievements demonstrating excellence in Deep Machine Learning Computer Science and Software Engineering. At least 5 years of industry experience in Machine / Deep Learning (we use the python ecosystem for ML) Computer Science and Software Engineering. A strong understanding of the math and theory behind machine learning and deep learning is a prerequisite. Academic publications in peer reviewed conferences or journals related to Machine Learning - preferably A/A+ rated such as NeurIPS ICML ICLR AAAI TMLR JMLR IJCAI ICANN KDD ACL EMNLP NAACL COLING CVPR ICCV ECCV IEEE etc. Machine / Deep Learning development skills including popular platforms (we use AWS SageMaker Hugging Face Transformers PyTorch PyTorch Lightning Ray scikit-learn Jupyter Weights & Biases etc.). An understanding of Language Models using and training / fine-tuning and a familiarity with industry-standard LM families. Excellent communication and teamwork skills. Fluent in written and spoken English. Would be a plus: We’re an applied science group therefore Software development proficiency is a requirement. Experience working with text data to build Deep Learning and ML models both supervised and unsupervised. Experience with deep learning in other modalities such as vision and speech would be a strong bonus. A Computer Science educational background is preferred as opposed to statistics or pure mathematics. Familiarity in building front-ends (Gradio Streamlit Dash or more standard React Javascript Flask) for simple demos POCs and prototypes. Experience with advanced prompting / agentic-systems and fine-tuning or training an LLM using industry accepted platforms. Showcase previous work (e.g. via a website presentation open source code). Familiarity in coding for at-scale production ranging from best practices to building back-end API services or stand-alone libraries. Essential dev-ops skills (we use Docker AWS EC2/Batch/Lambda). Additional Information The expected annual base salary range for this position is: $111000/year to $185000/year. This position is bonus eligible / commission-based. As a Remote-First company actual compensation will be provided in writing at the time of offer if extended and is determined by work location and a range of other relevant factors including but not limited to: experience skills degrees licensures certifications and other job-related factors. Internal equity market and organizational factors are also considered. Total Rewards @ Turnitin Turnitin maintains a Total Rewards package that is competitive within the local job market. People tend to think about their Total Rewards monetarily — solely as regular pay plus bonus or commission. This is what they earn in exchange for what they do. However Turnitin delivers more than just these components. Beyond the intrinsic rewards of unleashing your potential to positively impact global education and thriving in an organization that is free of politics and full of humble inclusive and collaborative teammates the extrinsic rewards at Turnitin include generous time off and health and wellness programs that offer choice and flexibility and provide a safety net for the challenges that life presents from time to time. Experience a remote-centric culture that empowers you to work with purpose and accountability in a way that best suits you supported by a comprehensive package that prioritizes your overall well-being. Our Mission is to ensure the integrity of global education and meaningfully improve learning outcomes. Our Values underpin everything we do. Customer Centric - We realize our mission to ensure integrity and improve learning outcomes by putting educators and learners at the center of everything we do. Passion for Learning - We seek out teammates that are constantly learning and growing and build a workplace which enables them to do so. Integrity - We believe integrity is the heartbeat of Turnitin. It shapes our products the way we treat each other and how we work with our customers and vendors. Action & Ownership - We have a bias toward action and empower teammates to make decisions. One Team - We strive to break down silos collaborate effectively and celebrate each other’s successes. Global Mindset - We respect local cultures and embrace diversity. We think globally and act locally to maximize our impact on education. Global Benefits Remote First Culture Health Care Coverage Education Reimbursement Competitive Paid Time Off 4 Self-Care Days per year National Holidays 2 Founder Days + Juneteenth Observed Paid Volunteer Time Charitable contribution match Monthly Wellness or Home Office Reimbursement Access to Modern Health (mental health platform) Parental Leave Retirement Plan with match/contribution varies by country Seeing Beyond the Job Ad At Turnitin we recognize it’s unrealistic for candidates to fulfill 100% of the criteria in a job ad. We encourage you to apply if you meet the majority of the requirements because we know that skills evolve over time. If you’re willing to learn and evolve alongside us join our team! Turnitin LLC is committed to the policy that all persons have equal access to its programs facilities and employment. All qualified applicants will receive consideration for employment without regard to race color religion sex sexual orientation gender identity national origin disability or status as a protected veteran.

"With 1000 intelligence professionals over $300M in sales and serving over 1900 clients worldwide Recorded Future is the world's most advanced and largest intelligence company! We are looking for a Principal Data Engineer to drive improvements in the Security Intelligence Graph. ### What You'll Do: Identify scope and own technical solutions necessary to achieve data convergence within the defender space of the Security Intelligence Graph Align analyze and ingest asset maps into the Security Intelligence Graph Develop productize monitor and maintain data pipelines at scale Build tools and APIs to facilitate access to data and analytics developed from the intelligence graph Analyze and explain patterns in data to drive business-critical decisions Create technical project plans and drive the successful execution of projects with input from our Product team and other developers on your team Collaborate with Data Scientists Data Engineers and business leaders to identify and scope technical solutions ### What You'll Bring: Master's degree in Computer Science Mathematics Statistics Engineering or equivalent experience 5+ years of Python programming and a minimum of 7 years' experience in Data Science 3+ years of experience with some/all of the following: + Message buses (e.g. Kafka RabbitMQ) MongoDB graph databases like AWS Neptune/Neo4j cloud computing tools and ElasticSearch + ML approaches and productizing ML models + Developing REST APIs with Python frameworks (e.g. Flask Django FastAPI) + Architecting and delivering production-grade applications and ETL/ELT pipelines + Applying statistical techniques to draw accurate impactful conclusions Leadership experience: + Ability to present information to stakeholders with varying levels of technical expertise + Experience engaging with technical leaders across geographies and divisions/companies + Excellent written & verbal communication when collaborating with colleagues across various locations and timezones designing technical approaches and writing documentation + Eagerness to continue learning and teaching new skills to team members in order to raise the bar across the team Proven success in architecting leading and delivering high-impact projects Efficient & accurate problem solving skills including the ability to debug both software and data Excellent attention to detail & ability to work independently while delivering high-quality results The base salary range for this full-time position is $127000 - $160000. Our salary ranges are determined by role level and location. The range displayed reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range individual pay is determined by state work location and additional factors including job-related skills experience and relevant education or training. This position may be eligible for incentive compensation equity and medical dental vision life insurance and 401K. Your recruiter can share more about the specific details of the compensation and benefit package during the hiring process. #LI-Remote Why should you join Recorded Future? Recorded Future employees (or ""Futurists"") represent over 40 nationalities and embody our core values of having high standards practicing inclusion and acting ethically. Our dedication to empowering clients with intelligence to disrupt adversaries has earned us a 4.8-star user rating from Gartner and more than 45 of the Fortune 100 companies as clients. Want more info? Blog & Podcast: Learn everything you want to know (and maybe some things you'd rather not know) about the world of cyber threat intelligence Linkedin Instagram & Twitter: What's happening at Recorded Future The Record: The Record is a cybersecurity news publication that explores the untold stories in this rapidly changing field Timeline: History of Recorded Future Recognition: Check out our awards and announcements We are committed to maintaining an environment that attracts and retains talent from a diverse range of experiences backgrounds and lifestyles. By ensuring all feel included and respected for being unique and bringing their whole selves to work Recorded Future is made a better place every day. If you need any accommodation or special assistance to navigate our website or to complete your application please send an e-mail with your request to our recruiting team at careers@recordedfuture.com Recorded Future is an equal opportunity and affirmative action employer and we encourage candidates from all backgrounds to apply. Recorded Future does not discriminate based on race religion color national origin gender including pregnancy sexual orientation gender identity age marital status veteran status disability or any other characteristic protected by law. Recorded Future will not discharge discipline or in any other manner discriminate against any employee or applicant for employment because such employee or applicant has inquired about discussed or disclosed the compensation of the employee or applicant or another employee or applicant. Recorded Future does not administer a lie detector test as a condition of employment or continued employment. This is in compliance with the law of the Commonwealth of Massachusetts and in alignment with our hiring practices across all jurisdictions. Notice to Agency and Search Firm Representatives: Recorded Future will not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to Recorded Future including those sent to our employees or through our website will become the property of Recorded Future. Recorded Future will not be liable for any fees related to unsolicited resumes. Agencies must have a valid written agreement in place with Recorded Future's recruitment team and must receive written authorization before submitting resumes. Submissions made without such agreements and authorization will not be accepted and no fees will be paid."

About Us The Senior Software Engineer on the Platform team will design performant foundational systems and developer integration tooling supporting our other backend software engineering teams: API internal services and data science. The Platform team's solutions better enable these teams to rapidly develop mission-critical solutions and applications for our customers and for our operations & supply chain teams with greater consistency performance security operability and maintainability.  They will work closely with the DevOps team to enable reliable infrastructure effective automation and self-service. They rely on their own experience while performing additional research as necessary to arrive at the best solution for each task. They have proven records being the tech lead on complex cross-team projects proactively raising issues and resourcefully unblocking themselves to ensure projects are delivered with high quality and within the expected timeline. They can constructively debate any issue persuade others with hard evidence while staying objective and open to changing their mind. In short they will support the foundation of our entire engineering team’s continued success. Responsibilities Own mission-critical and high scale systems and integrations particularly those that support operations data science and other dev teams Design document and support tooling and integrations that accelerate other backend engineering teams’ velocity through outstanding developer experience and minimized cognitive load  Drive important technical discussions and help the team arrive at the best possible solution given any constraints we may face. Be a sounding board to other engineers and willing to offer assistance in helping solve very difficult problems Work closely with engineering leads on planning and execution of large complex projects Contribute directly to important feature development and maintenance Help raise the bar on code quality and enforce engineering discipline through code review feedback testing automation technical presentations and opportunistic refactoring Participate in the interview process of other senior mid or junior engineering candidates and contribute to hiring decisions Qualifications 5+ yrs of commercial software development experience. 3+ yrs of experience using Python and the wider ecosystem as the primary day-to-day environment 2+ yrs of experience working with a web framework such as Django (Preferred) Flask FastAPI. 3+ yrs of relational SQL experience strong understanding of MySQL performance tuning and comfortable writing raw SQL queries 2+ yrs of experience using Docker experience in improving docker build efficiency 2+ yrs of experience troubleshooting production issues using Datadog CloudWatch or similar technologies for observability  2+ years of professional work experience within an AWS environment Nice to Haves Full-stack engineering experience is a plus Experience with AWS and its various core services Experience with Infrastructure as Code (IaC Tools) Experience working with data science teams Experience writing clear complete technical documentation for the code you’ve written A bachelor's degree in computer science or a related field Perks & Benefits  Remote-first: work from home work from our NYC office work from anywhere in the U.S. - you decide! Equity  Unlimited vacation policy Universal paid parental leave Monthly Hungryroot credit for delicious healthy groceries Comprehensive health vision dental and life insurance 401k with Company Match A work from home stipend to support your initial home-office setup Expected Pay Range:$160000 - $180000 #LI-REMOTE Our mission to help make healthy eating easy accessible and joyful is better served by a diverse workplace. We are a proud Equal Opportunity Employer committed to building an inclusive workplace. We have zero-tolerance for harassment or discrimination. We do not discriminate on the basis of race religion ethnicity national origin gender identity gender expression sexual orientation age marital status veteran status or disability.

Position: SENIOR BACKEND ENGINEER Work Setup: WFH Shift Schedule: US Timezone Salary: 120000 - 180000 Note: Please provide the link of your available repositories or portfolio. DUTIES AND RESPONSIBILITIES: Design and implement robust backend solutions using: Python backend services (Flask FastAPI or similar) Python-based GraphQL servers ORM SQL (SQLAlchemy) Contribute to technical decision-making processes while balancing business requirements with technical constraints Follow and extend best practices for code quality testing and deployment processes across the entire stack Collaborate with product management UI/UX designers and engineering leads to implement technical specifications Implement scalable data models and APIs to support complex business logic Optimize application performance across multiple applications Apply type safety and code reusability best practices Participate in the full development lifecycle from planning to deployment Stay up-to-date on the latest tools and techniques recommending them for incorporation into our platform. Required Skills & Experience 4+ years of experience in backend development Proficiency in Python and related frameworks (Flask FastAPI or similar) Experience with SQL databases ORM technologies (SQLAlchemy) and GraphQL (Python-based servers) Experience with form management in React applications Understanding of state management patterns testing frameworks and deployment strategies Experience with build systems module bundlers and CI/CD pipelines Excellent verbal and written communication skills in English for technical discussions documentation and knowledge sharing Proficiency with preferred development environment (Mac or Linux) and related development tools Ability to collaborate synchronously with team members during core hours (10:00 AM - 6:00 PM US Eastern Time) while respecting work-life balance Preferred Qualifications Experience in advertising technology or marketing analytics Knowledge of budget management and financial data systems Experience developing multi-app workspaces or monorepos Familiarity with UI component libraries (particularly Mantine or similar) Familiarity with data visualization libraries and techniques Understanding of accessibility standards and best practices Experience with real-time data processing systems Understanding of data privacy regulations and security best practices Experience with systems compliant with ISO 27001 and other security frameworks such as SOC 2 NIST 800-53 or HIPAA requirements Contributions to open-source projects or technical community Knowledge of first principles (e.g. basics of tools internals of the computer low level concepts and how work actually gets done etc) Advanced degree in Computer Science or related field Some experience (1+ years) in team leadership or people management in a technical context. Note: Please provide the link of your available repositories or portfolio. Job Types: Full-time Permanent Pay: Php120000.00 - Php180000.00 per month Benefits: Company events Employee discount Flexible schedule Health insurance Life insurance Opportunities for promotion Paid training Pay raise Promotion to permanent employee Work from home Experience: Backend Development: 4 years (Preferred) Python: 4 years (Preferred) React: 4 years (Preferred) Leadership/senior role: 1 year (Preferred) Work Location: Remote

The DigiTrust Group is revolutionizing cyber security and we're looking for a talented Full Stack Software Developer to join our growing Development team. We're hackers at heart and we're on a mission to defend global organizations against information security threats. As a member of our Development team you'll leverage your advanced programming skills to design customized highly sophisticated tools for our defensive and offensive cyber operations. You'll be at the nucleus of our high-energy and dynamic development team as you build cutting edge tools for our complex software and create a fully optimized user experience. What you'll do Create compelling highly functional applications for internal and client-facing technologies using state-of-the art tools Collaborate with our team of skilled software engineers to help define program architectures and build robust scalable platforms Leverage your experience and creativity to drive new innovative software applications and components Lead process analysis and provide feedback on deficient systems Combine forces with our elite team of ethical hackers and defensive cyber-security professionals to create strategic offensive cyber security tools as well as further orchestrate and enhance our defensive platform Enhance our software design best-practices including test-driven development and frequent end-to-end testing What we're looking for 3+ years of experience in a Full Stack or Back End engineering role Proficiency in HTML CSS and JavaScript Demonstrated success working with a modern web framework such as Django Flask Ruby on Rails Grails .Net MVC Spring etc. The ability to work well on a team and value others opinions while advocating for your own Eligible to work in the US without sponsorship You'll love this job if You are motivated by technical challenges and love wearing multiple hats You are a critical thinker and passionate about your work You have excellent communication skills and are detail oriented You're eager to cut through Information Security industry nonsense and experience the real thing You enjoy a fast-paced dynamic environment Benefits and Perks Remote work Friendly fun and mission-driven environment Competitive benefits and flexible time off policy The DigiTrust Group is a leading global provider of information security services headquartered in West LA. Our employees are empowered to learn and grow as we advance our mission of defending global organizations against information security threats. Join us today! We are proud to be an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race color sex age religion sexual orientation gender identity status as a Veteran and basis of disability or any federal state or local protected class.

WHAT WE DO Founded in 2007 Growth Acceleration Partners (GAP) is a consulting and technology services company. We consult design build and modernize revenue-generating software and data engineering solutions for clients. With modernization services and AI tools we help businesses achieve a competitive advantage through technology. GAP’s remote integrated engineering teams use end-to-end solutions to innovate and align with your business goals. We have 600+ English-speaking engineers based in Latin America and approximately 20 U.S.-based engineers. With some of the highest customer satisfaction scores in the industry GAP’s focus is customer and employee success. GAP is a woman-owned company headquartered in Austin Texas. We are a values-based company focused on growing our people by investing in education onsite English classes and training in the latest technologies including AI data analytics and machine learning. Our goal is to provide solutions for our customers that help them achieve critical business outcomes while enabling our GAPSters and our communities to attain long-term success. Summary We are looking for a Senior Software Engineer. As part of our team you will be responsible for developing scalable robust and high-quality solutions. As an engineer you are a professional with several years of hands-on experience possessing advanced technical skills and in-depth knowledge. You excel in problem-solving effective communication guiding and mentoring other engineers making critical technical decisions and contributing to the strategic direction of projects. Education Bachelor’s Degree in Computer Science or related field. Professional Experience 5+ years of experience building Software Applications. 3+ years of professional experience working with Python. Soft Skills Advanced English level. Open to learning new technologies. Great communication skills. Good time management skills. Good mentoring and negotiation skills Strong technical support skills. Required Skills Strong experience developing with Python (Flask or Django). Skilled in version control systems such as Git GitHub and GitLab. Familiar with development methodologies like Scrum and Kanban. Experienced in working with database systems particularly SQL. Knowledgeable in APIs including REST gRPC and GraphQL. Committed to quality assurance through unit testing practices. Experienced in containerization technologies such as Docker and Kubernetes. Well-versed in CI/CD tools like GitHub Actions and Jenkins. Nice to Have skills Proficient with AWS and react native Experience with security (e.g. OWASP OAuth) Experience with performance (e.g. Caching code optimization) At Growth Acceleration Partners we're an equal opportunity employer committed to building a diverse and inclusive team. We value everyone's unique background and we provide equal opportunities regardless of race color creed religion sexual orientation gender identity age national origin disability marital status veteran status or any other personal right protected by law. We foster a culture of belonging and strive to provide a welcoming environment where everyone feels safe to contribute and grow.