ai research team 9m6i jobs in Microsoft

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run experiments on new datasets (data ablations) to assess their impact and determine the most effective data Develop and maintain scalable data pipelines for multimodal ingestion, pre-processing, filtering, and annotation Analyse real-world multimodal datasets to assess quality, diversity, relevance, and identify areas for improvement Build lightweight tools and workflows for dataset auditing, visualization, and versioning Collaborate with Safety, Ethics, and Governance teams to ensure datasets meet standards for quality, privacy, and responsible AI practices Bachelor's Degree in AI, Computer Science, Data Science, Statistics, Physics, Engineering, or a related technical field AND technical engineering experience with coding in languages including, but not limited to, Python and common data libraries (Pandas, NumPy, etc.) OR equivalent experience Experience in data analysis or data engineering Proficiency in statistics and exploratory data analysis methods Ability to communicate technical findings effectively to research and product teams Master's Degree in Computer Science or related technical field AND technical engineering experience with coding in languages including, but not limited to, Python and common data libraries (Pandas, NumPy, etc.) Familiarity with data processing frameworks such as Spark, Ray, Apache Beam Experience working with large-scale, real-world datasets that are unstructured or semi-structured", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837085538", "isPrivate": false}, {"id": 1970324837085083, "name": "Member of Technical Staff, Data Research Engineer", "location": "Mountain View, California, United States", "locations": ["Mountain View, California, United States", "Redmond, WA, USA", "New York, NY, USA"], "hot": 1, "department": "AI Research Team (9M6I)", "business_unit": "Microsoft AI (QIA5)", "t_update": 1761846479, "t_create": 1758301120, "ats_job_id": 1970324837085083, "display_job_id": 1970324837085083, "type": "ATS", "id_locale": "1970324837085083-en", "job_description": "Create high-quality datasets for training and evaluation; run experiments on new datasets (data ablations) to assess their impact and determine the most effective data Develop and maintain scalable data pipelines for multimodal ingestion, preprocessing, filtering, and annotation Analyze real-world multimodal datasets to assess quality, diversity, relevance, and identify areas for improvement Build lightweight tools and workflows for dataset auditing, visualization, and versioning Collaborate with Safety, Ethics, and Governance teams to ensure datasets meet standards for quality, privacy, and responsible AI practices Bachelor's Degree in AI, Computer Science, Data Science, Statistics, Physics, Engineering, or a related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, Python and common data libraries (Pandas, NumPy, etc.) OR equivalent experience 2+ years of experience in data analysis or data engineering Proficiency in statistics and exploratory data analysis methods Ability to communicate technical findings effectively to research and product teams Master's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, Python and common data libraries (Pandas, NumPy, etc.) OR Bachelor's Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, Python and common data libraries (Pandas, NumPy, etc.) OR equivalent experience. Familiarity with data processing frameworks such as Spark, Ray, Apache Beam Experience working with large-scale, real-world datasets that are unstructured or semi-structured", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837085083", "isPrivate": false}, {"id": 1970324837030398, "name": "Member of Technical Staff - ML / Agents", "location": "Mountain View, California, United States", "locations": ["Mountain View, California, United States", "Redmond, WA, USA"], "hot": 0, "department": "AI Research Team (9M6I)", "business_unit": "Microsoft AI (QIA5)", "t_update": 1762198217, "t_create": 1755019537, "ats_job_id": 1970324837030398, "display_job_id": 1970324837030398, "type": "ATS", "id_locale": "1970324837030398-en", "job_description": "Leverage subject matter expertise to improve model quality for interactive and agentive experiences in consumer Copilot. Oversee data acquisition or generation efforts, ensuring that the data meets product needs. Generalize machine learning (ML) solutions into repeatable frameworks. Lead evaluation efforts of models deployed within Copilot. Track advances in industry and academia, identifies relevant state-of-the-art research, and adapts algorithms and/or techniques to drive innovation and develop new solutions. Independently write efficient, readable, extensible code and model pipelines. Contribute to defining the model quality roadmap for Copilot, keeping in mind business and product goals. Commit to a customer-oriented focus by acknowledging customer needs and perspectives, and building AI products that delight customers. Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. 4+ years of data science experience (e.g., managing structured and unstructured data, applying machine learning techniques and driving product direction). Experience prompting, evaluating, and working with large language models. Experience writing production-quality Python code. Doctorate in Computer Science, Machine Learning, Human-Centered AI or related field AND 2+ year(s) experience (e.g., finetuning models with supervision or reinforcement learning, understanding and fixing data quality and curation, working with collaborators on creating new products). OR Master's Degree in Computer Science, Machine Learning, or related field AND 5+ years experience (e.g., managing structured and unstructured data, developing and debugging models, creating infrastructure for AI-powered products). OR Bachelor's Degree in Computer Science, Mathematics, Machine Learning, Physics, or related field AND 7+ years data-science experience (e.g., managing structured and unstructured data, applying machine learning techniques and driving product direction). Demonstrated engineering experience or research experience (e.g. creating or leading the creation of a feature in a different company, complex graduate work, research papers, or other experience). Demonstrated interest in interactive AI.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837030398", "isPrivate": false}, {"id": 1970324837029176, "name": "Member of Technical Staff, AI Safety Post-Training", "location": "Mountain View, California, United States", "locations": ["Mountain View, California, United States", "Redmond, WA, USA", "New York, NY, USA"], "hot": 1, "department": "AI Research Team (9M6I)", "business_unit": "Microsoft AI (QIA5)", "t_update": 1757902128, "t_create": 1753998954, "ats_job_id": 1970324837029176, "display_job_id": 1970324837029176, "type": "ATS", "id_locale": "1970324837029176-en", "job_description": "Leverage expertise in AI safety to uncover potential risks and develop novel mitigation strategies, including alignment techniques, constitutional AI approaches, RLHF, and robustness improvements for large language models. Create and implement comprehensive evaluation frameworks and red-teaming methodologies to assess model safety across diverse scenarios, edge cases, and potential failure modes. Build automated safety testing systems, generalize safety solutions into repeatable frameworks, and write efficient code for safety model pipelines and intervention systems. Maintain a user-oriented perspective by understanding safety needs from user perspectives, validating safety approaches through user research, and serving as a trusted advisor on AI safety matters. Track advances in AI safety research, identify relevant state-of-the-art techniques, and adapt safety algorithms to drive innovation in production systems serving millions of users. Embody our culture and values. Bachelor's Degree in Computer Science, or related technical discipline AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python Experience prompting and working with large language models. Experience writing production-quality Python code. Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Master's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. Demonstrated interest in Responsible AI.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "hybrid", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837029176", "isPrivate": false}, {"id": 1970324837007239, "name": "Member of Technical Staff, AI - Reinforcement Learning Systems", "location": "Mountain View, California, United States", "locations": ["Mountain View, California, United States", "Redmond, WA, USA"], "hot": 1, "department": "AI Research Team (9M6I)", "business_unit": "Microsoft AI (QIA5)", "t_update": 1758735637, "t_create": 1739211461, "ats_job_id": 1970324837007239, "display_job_id": 1970324837007239, "type": "ATS", "id_locale": "1970324837007239-en", "job_description": "Collaborate with research teams to advance state-of-the-art algorithms for reinforcement learning in LLMs. Develop the core systems for adapting reinforcement learning to unprecedented scales and heterogeneous environments. Embody our culture of collaboration, innovation, and excellence. Bachelor's Degree in Computer Science, Software Engineering, Computer Engineering, Machine Learning, Mathematics, or related STEM fields and 4+ years of experience in coding in languages including, but not limited to, C, C++, C#, Rust, Java, or Python Experience with large-scale software systems and infrastructure. Demonstrated interest in reinforcement learning, language modelling, generative modelling, or related domains. Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Rust, Java, or Python OR equivalent experience. Background in machine learning research. Experience with large scale distributed AI systems. Ability to work collaboratively in a fast-paced, innovative environment.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837007239", "isPrivate": false}, {"id": 1970324837006629, "name": "Member of Technical Staff, AI - Multimodal", "location": "Mountain View, California, United States", "locations": ["Mountain View, California, United States", "Redmond, WA, USA"], "hot": 1, "department": "AI Research Team (9M6I)", "business_unit": "Microsoft AI (QIA5)", "t_update": 1761617267, "t_create": 1738699916, "ats_job_id": 1970324837006629, "display_job_id": 1970324837006629, "type": "ATS", "id_locale": "1970324837006629-en", "job_description": "Have proven expertise in areas of interest, evidenced by an exceptional publication track record and/or significant technical leadership in high-impact projects. Exhibit solid analytical skills, attention to detail, and a commitment to data-driven decision-making. Have experience and/or in-depth understandings about large-scale distributed systems. Demonstrate an ability to work collaboratively in a fast-paced, innovative environment. Bachelor's Degree in Computer Science, or related technical discipline AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. Demonstrated experience in large-scale AI. Passionate about conversational AI and its deployment. Demonstrated written and verbal communication skills with the ability to work closely with cross-functional teams, including product managers, designers, and other engineers. Passion for learning new technologies and staying up to date with industry trends, best practices, and emerging technologies in AI. Proven ability to collaborate and contribute to a positive, inclusive work environment, fostering knowledge sharing and growth within the team. Develop algorithms, design model architectures, conduct experiments, champion measurement and evaluation, innovate datasets and data pipelines. Improve training and deployment efficiency, paying careful attention to detail, persevering, and learning from everyone's attempts whether successful or not. Follow a rigorous data-driven approach grounded in meticulous ablation studies and scientific analysis. Innovate and iterate over ideas, prototypes, and product. Collaborate closely with teams on infrastructure, data engineering, pre-training, post-training, and product feedback. Advance the AI frontier responsibly. Embody our culture and values.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837006629", "isPrivate": false}, {"id": 1970324837140128, "name": "Technical Program Manager - Responsible AI", "location": "London, London, City of, United Kingdom", "locations": ["London, London, City of, United Kingdom"], "hot": 0, "department": "AI Research Team (9M6I)", "business_unit": "Microsoft AI (QIA5)", "t_update": 1762451764, "t_create": 1761178214, "ats_job_id": 1970324837140128, "display_job_id": 1970324837140128, "type": "ATS", "id_locale": "1970324837140128-en", "job_description": "Overview Microsoft AI is at the forefront of the responsible development and global deployment of AI to make everyone more informed, capable, and supported. We are creating unique, beautiful and powerful products that will change lives. We are proud of what we build, how we build it and that our products will define the AI era. It is a time of huge change in the AI landscape, and this role will put you right in the heart of it.  As a  Technical Program Manager  for Responsible AI, you will work closely with teams across Microsoft considering all aspects of AI safety, governance and risk, ensuring that our principles and commitments are met in a timely and product-first manner.  This role, based within a highly agile interdisciplinary team, will allow you to grow and further your deep understanding of all aspects of AI development and deployment both within Microsoft and beyond.  Microsoft\u2019s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to achieve our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.  Starting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location. This expectation is subject to local law and may vary by jurisdiction. Responsibilities As a Program Manager for Responsible AI, you will:  Work as part of a fast-growing, interdisciplinary team of Responsible AI practitioners and with cross-functional teams in the day-to-day delivery and development of Copilot, ensuring that Microsoft\u2019s Responsible AI principles and practices are satisfactorily embedded; Partner closely with colleagues in the Office of Responsible AI and Microsoft\u2019s Corporate, External and Legal Affairs (CELA) team to develop, refine and apply innovative governance processes, responsive in part to a dynamic technical and regulatory landscape; Serve as a liaison between technical and non-technical stakeholders to ensure shared understanding of Responsible AI objectives;  Develop and deliver training materials and resources to support Responsible AI awareness and adoption.\u00a0 Qualifications Required Qualifications Experience working in the Generative AI field in an engineering, product, policy or technical program management role OR equivalent experience; Bachelor's Degree AND/OR experience in product/technical program management OR equivalent experience; Experience working on complex cross-functional projects;  Strong organisational and communication skills; and Ability to navigate ambiguity and adapt to rapidly changing environments and demands.  Additional or Preferred Qualifications Experience working on complex legal or governance projects in a fast-paced technology setting; and Knowledge of relevant regulatory frameworks such as the EU AI Act, GDPR, or similar.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837140128", "isPrivate": false}, {"id": 1970324837140114, "name": "Member of Technical Staff, Software Engineer", "location": "", "locations": [""], "hot": 0, "department": "AI Research Team (9M6I)", "business_unit": "Microsoft AI (QIA5)", "t_update": 1761670981, "t_create": 1761159808, "ats_job_id": 1970324837140114, "display_job_id": 1970324837140114, "type": "ATS", "id_locale": "1970324837140114-en", "job_description": "Microsoft AI is looking for a Member of Technical Staff - Software Engineer to help build the next wave of capabilities of our personalized AI assistant, Copilot. We\u2019re\u00a0looking for someone who will bring an abundance of positive energy, empathy, and kindness to the team every day, in addition to being highly effective. The right candidate enjoys building world-class consumer experiences and products in a fast-paced environment. You will actively contribute to the development of AI models that are powering our innovative products. You will wear multiple hats and work on engineering, research, and everything in between. Your contributions will span model architecture, data curation, training and inference infrastructures, evaluation protocols, alignment and reinforcement learning from human feedback (RLHF), and many other exciting topics at the cutting edge\u00a0of AI.\u00a0 Microsoft AI is building foundational models to develop novel responsible and efficient artificial general intelligence. The foundational models require large compute-capacity, and as a Member of Technical Staff - Software Engineer\u00a0you would be responsible to benchmark, profile, debug and tune the training and inference of generative AI running in the production Graphics Processing Unit (GPU) clusters. Sophisticated tools and techniques are needed to maintain\u00a0the reliability, runtime performance, and health of the hundreds of nodes in a supercomputer consisting of thousands of GPUs. You must work closely with model scientists to instrument best known state-of-the-art\u00a0and novel tools and techniques to achieve the smooth operation of the AI jobs. As a contributing member of the core group of engineers, you would also bring to the table best practices driving architectural changes and influence roadmap of relevant software and hardware components. Your work will directly impact\u00a0the business goals of a wide range of users and facilitate\u00a0the next wave of growth and innovation in AI.\u00a0 Our newly formed organization, Microsoft AI, is dedicated to advancing Copilot and other consumer AI products and research. The team is responsible for\u00a0Copilot, Bing, Edge, and generative AI research. Come be\u00a0a part of the team shaping the future personal computing.\u00a0 Microsoft\u2019s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Responsibilities: Develop and tune the pretraining scalable software for Nvidia GB200 72NVL CX8 and AMD MIxxx\u00a0architectures.\u00a0 Benchmark GB200 and AMD MIxxx\u00a0GPU clusters.\u00a0 Gather data and insights to develop the pretraining compute roadmap.\u00a0 Care deeply about conversational AI and its deployment.\u00a0 Actively contribute to the development of AI models that are powering our innovative products.\u00a0 Find a path to get things done despite roadblocks to get your work into the hands of users quickly and iteratively.\u00a0 Enjoy working in a fast-paced, design-driven, product development cycle.\u00a0 Embody our\u00a0 Culture and\u00a0 Values .\u00a0\u00a0 Required Qualifications: Bachelor's Degree in Computer Science, or related technical discipline AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. Experience with generative AI. Experience with distributed computing.\u00a0 Preferred Qualifications: Bachelor's Degree in Computer Science\u00a0or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python\u00a0 OR Master's Degree in Computer Science\u00a0or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python\u00a0 OR equivalent experience.\u00a0 Experience in leading technical projects and\u00a0supporting architectural decisions with data.\u00a0", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837140114", "isPrivate": false}, {"id": 1970324837135761, "name": "Technical Program Manager - Infrastructure & Compute ", "location": "Mountain View, California, United States", "locations": ["Mountain View, California, United States"], "hot": 0, "department": "AI Research Team (9M6I)", "business_unit": "Microsoft AI (QIA5)", "t_update": 1761850749, "t_create": 1760623556, "ats_job_id": 1970324837135761, "display_job_id": 1970324837135761, "type": "ATS", "id_locale": "1970324837135761-en", "job_description": "Deeply understand the pipeline of collecting data, training and then serving language models and multimodal models. Have experience in working side-by-side with researchers and engineers. Thrive in a fast-paced, innovative environment. Are passionate about managing high stakes time-sensitive large-scale programs. Take the initiative and enjoys finding paths through complexity in a fast-paced environment. Are comfortable owning projects that span offices, teams and time zones, can co-ordinate different workstreams, and drive to relentlessly unblock progress. Demonstrate a proactive attitude and enthusiasm for exploring new methods and technologies. Bachelor's Degree AND 6+ years experience in working with AI researchers, product/technical program management, data analysis, or product development 6+ years experience managing cross-functional and/or cross-team projects. Bachelor's Degree AND 10+ years experience in working with AI researchers, product/technical program management, data analysis, or product development OR equivalent experience. 10+ years experience managing cross-functional and/or cross-team projects. Coordinate projects and programs including all elements of end-to-end project planning, timelines, milestones, performance metrics, and resource needs for programs and product cycles. Leverage data and analytics to identify opportunities for improvement, track progress, and measure the impact of quality and efficiency programs on key metrics. Foster a culture of collaboration, continuous improvement, and growth. Accountable to own the status of key projects, proactively identifying risks and proposing solutions to ensure timely delivery. Communicate program strategies, progress, and results to executive leadership and key stakeholders, advocating for the quality and efficiency function within the team. Collaborate closely with teams on infrastructure, data engineering, pre-training, post-training, and product feedback Advance the AI frontier responsibly Embody our culture and values.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837135761", "isPrivate": false}, {"id": 1970324837116789, "name": "Member of Technical Staff, AI Pretraining Platform", "location": "London, London, City of, United Kingdom", "locations": ["London, London, City of, United Kingdom"], "hot": 0, "department": "AI Research Team (9M6I)", "business_unit": "Microsoft AI (QIA5)", "t_update": 1761617282, "t_create": 1760092039, "ats_job_id": 1970324837116789, "display_job_id": 1970324837116789, "type": "ATS", "id_locale": "1970324837116789-en", "job_description": "Are passionate about the infrastructure enabling large-scale AI model training Will thrive in a highly collaborative, fast-paced environment Have a high degree of craftsmanship and pay close attention to details Demonstrate a proactive attitude and enthusiasm for exploring new methods and technologies Effectively manage multiple responsibilities and can adjust to shifting priorities. 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