ai research team 9m6i jobs in Microsoft

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You may be responsible for developing new methods to train agentive LLM capabilities, evaluating LLMs, and new user-facing features in Copilot. You should be comfortable create Reinforcement Learning data, fine tuning, or training classifiers or engineering prompts to support the Copilot experience. We\u2019re looking for someone with experience in machine learning, software engineering, as well as an effective communicator and great teammate. The right candidate takes the initiative, is user-centered and enjoys building world-class consumer experiences and products in a fast-paced environment. By applying to this U.S. Mountain View, CA position or Redmond, WA, you are required to be local to the San Francisco area OR Redmond, WA area and in office 3 days a week. 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. \ufeff 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: 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. Required Qualifications: 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.\u00a0 Preferred Qualifications 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.\u00a0 Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year.\u00a0There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 - $258,000 per year. Software Engineering IC5 - The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 per year.\u00a0There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:  https://careers.microsoft.com/us/en/us-corporate-pay\u00a0\u00a0\u00a0 Microsoft will accept applications and processes offers for these roles on an ongoing basis. #copilot", "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": 1970324837018176, "name": "Member of Technical Staff \u2013 Machine Learning, AI Safety  ", "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": 1757440068, "t_create": 1750776899, "ats_job_id": 1970324837018176, "display_job_id": 1970324837018176, "type": "ATS", "id_locale": "1970324837018176-en", "job_description": "Overview As a Member of Technical Staff \u2013 Machine Learning, AI Safety, you will\u00a0develop and implement\u00a0cutting-edge\u00a0safety methodologies and mitigations for\u00a0products that are served to millions of users through Copilot every day.\u00a0Users turn to Copilot for support in all types of endeavors, making it critical that we ensure our AI systems behave safely and align with organizational values.\u00a0You\u00a0may\u00a0be responsible for\u00a0developing new methods to evaluate LLMs, experimenting with data collection techniques,\u00a0implementing safety orchestration methods and mitigations,\u00a0and\u00a0training content classifiers to support the Copilot experience.\u202fWe\u2019re\u202flooking for\u00a0outstanding individuals\u00a0with experience in\u00a0machine learning or machine learning infrastructure who are also\u00a0strong communicators\u00a0and great teammates.\u202fThe right candidate takes the initiative and enjoys building world-class, trustworthy AI\u00a0experiences and products in a fast-paced environment.\u00a0\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.\u00a0 \ufeff 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 Leverage\u00a0expertise\u00a0to uncover potential risks and develop novel mitigation strategies, including data mining, prompt engineering, LLM evaluation, and classifier training.\u00a0 Create and implement comprehensive evaluation frameworks and red-teaming methodologies to assess model safety across diverse scenarios, edge cases, and potential failure modes.\u00a0 Build automated safety testing systems, generalize safety solutions into repeatable frameworks, and write efficient code for safety model pipelines and intervention systems.\u00a0 Maintain a user-oriented perspective by understanding safety needs from user perspectives,\u00a0validating\u00a0safety approaches through user research, and serving as a trusted advisor on AI safety matters\u00a0 Track advances in AI safety research,\u00a0identify\u00a0relevant\u00a0state-of-the-art\u00a0techniques, and adapt safety algorithms to drive innovation in production systems serving millions of users.\u00a0 Embody our culture and values.\u00a0 Qualifications Required Qualifications Bachelor\u2019s 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\u00a0\u00a0 OR equivalent experience.\u00a0\u00a0 Experience prompting and working with large language models.\u00a0\u00a0\u00a0 Experience writing production-quality Python code.\u00a0\u00a0\u00a0 Preferred Qualifications Bachelor\u2019s 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\u00a0 OR\u00a0Master\u2019s 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\u00a0 OR equivalent experience.\u00a0\u00a0 Demonstrated interest in Responsible AI.\u00a0\u00a0\u00a0 Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year.\u00a0There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 - $258,000 per year. Software Engineering IC5 - The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 per year.\u00a0There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay\u00a0\u00a0\u00a0 Microsoft will accept applications and processes offers for these roles on an ongoing basis.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "hybrid", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837018176", "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": 1757958609, "t_create": 1739211461, "ats_job_id": 1970324837007239, "display_job_id": 1970324837007239, "type": "ATS", "id_locale": "1970324837007239-en", "job_description": "Overview Help build the world\u2019s most advanced reinforcement learning systems at Microsoft AI. We're on a mission to create trustworthy agents capable of autonomous action and decision-making on behalf of our users. As part of our team, you\u2019ll help advance state-of-the-art model capabilities by contributing to core systems, infrastructure, and research.\u00a0 We are looking for distributed systems experts with a scientific mindset. The ideal candidate will be able to build complex systems from the ground up, discover and diagnose causes of suboptimal performance, and contribute to solving scientific and research challenges. Specifically, they should:\u00a0 Excel in programming (especially parallel/concurrent), software engineering, and API design\u00a0 Have experience in large-scale systems, preferably having built some components from scratch.\u00a0 Thrive in a highly collaborative, fast-paced environment\u00a0 Have a high degree of craftsmanship and pay close attention to details\u00a0 Effectively manage multiple responsibilities and can adjust to shifting priorities\u00a0 Be motivated by training capable and safe AI agents and shipping them into the hands of millions of users\u00a0 A background in machine learning is preferred but not required. In this case, candidates must demonstrate they have an ability to quickly learn the subject, and backgrounds in mathematics, competitive programming, and related domains are a plus.\u00a0 By applying to this U.S. Mountain View, CA OR Redmond, WA position, you are required to be local to the San Francisco area OR Seattle area and in office 3 days a week.\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.\u00a0 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 Collaborate with research teams to advance state-of-the-art algorithms for reinforcement learning in LLMs.\u00a0 Develop the core systems for adapting reinforcement learning to unprecedented scales and heterogeneous environments.\u00a0\u00a0 Embody our  culture  of collaboration, innovation, and excellence.\u00a0 Qualifications Required Qualifications: 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\u00a0 OR equivalent experience.\u00a0 Experience with large-scale software systems and infrastructure.\u00a0 Demonstrated interest in reinforcement learning, language modelling, generative modelling, or related domains.\u00a0 Preferred Qualifications: 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\u00a0 OR equivalent experience.\u00a0 Background in machine learning research.\u00a0 Experience with large scale distributed AI systems.\u00a0 Ability to work collaboratively in a fast-paced, innovative environment.\u00a0 Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $117,200 - $229,200 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $153,600 - $250,200 per year. Software Engineering IC5 - The typical base pay range for this role across the U.S. is USD $137,600 - $267,000 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $180,400 - $294,000 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:  https://careers.microsoft.com/us/en/us-corporate-pay\u00a0 Microsoft will accept applications and processes offers for these roles on an ongoing basis. #MicrosoftAI #Copilot", "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": 1757590137, "t_create": 1738699916, "ats_job_id": 1970324837006629, "display_job_id": 1970324837006629, "type": "ATS", "id_locale": "1970324837006629-en", "job_description": "Overview Help deliver one of the best foundational models in the world at Microsoft AI.\u00a0 At Microsoft AI, we are on a mission to train the world\u2019s most capable AI frontier models, pushing the boundaries of scale, performance and product deployment. The Multimodal team at Microsoft AI tackles some of the most challenging problems in deep learning at scale. As a team, we will deliver one of the best foundation models in the world, forming the foundation of many initiatives across Microsoft AI.\u00a0 We are looking for outstanding individuals excited about contributing to the next generation of systems that will transform the field. In particular, we are looking for candidates who:\u00a0 Have proven expertise in areas of interest, evidenced by an exceptional publication track record and/or significant technical leadership in high-impact projects.\u00a0 Exhibit solid analytical skills, attention to detail, and a commitment to data-driven decision-making.\u00a0 Have experience and/or in-depth understandings about large-scale distributed systems.\u00a0 Demonstrate an ability to work collaboratively in a fast-paced, innovative environment.\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. \ufeff 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 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\u2019s attempts whether successful or not.\u00a0 Follow a rigorous data-driven approach grounded in meticulous ablation studies and scientific analysis.\u00a0 Innovate and iterate over ideas, prototypes, and product.\u00a0 Collaborate closely with teams on infrastructure, data engineering, pre-training, post-training, and product feedback.\u00a0 Advance the AI frontier responsibly.\u00a0 Embody our  culture  and  values .\u00a0 Qualifications 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\u00a0 OR equivalent experience.\u00a0 Preferred Qualifications: 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\u00a0 OR equivalent experience.\u00a0 Demonstrated experience in large-scale AI.\u00a0 Passionate about conversational AI and its deployment.\u00a0 Demonstrated written and verbal communication skills with the ability to work closely with cross-functional teams, including product managers, designers, and other engineers.\u00a0\u00a0\u00a0 Passion for learning new technologies and staying up to date with industry trends, best practices, and emerging technologies in AI.\u00a0\u00a0 Proven ability to collaborate and contribute to a positive, inclusive work environment, fostering knowledge sharing and growth within the team. Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $117,200 - $229,200 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $153,600 - $250,200 per year. Software Engineering IC5 - The typical base pay range for this role across the U.S. is USD $137,600 - $267,000 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $180,400 - $294,000 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:  https://careers.microsoft.com/us/en/us-corporate-pay Microsoft will accept applications and processes offers for these roles on an ongoing basis.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837006629", "isPrivate": false}, {"id": 1970324837030850, "name": "Technical Program Manager", "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": 1757437993, "t_create": 1755730676, "ats_job_id": 1970324837030850, "display_job_id": 1970324837030850, "type": "ATS", "id_locale": "1970324837030850-en", "job_description": "Overview: At Microsoft AI, we are on a mission to train the world\u2019s most capable AI frontier models, pushing the boundaries of scale, performance, and product deployment. We\u2019re tackling some of the most challenging problems in deep learning at scale. As a team, we will deliver one of the best foundation models in the world, forming the foundation of many initiatives across Microsoft AI. We\u2019re looking for a highly motivated and detail-oriented  Data Operations Manager (IC3) to make sure every dataset we acquire lands in researchers\u2019 hands, is validated for quality, and delivers measurable impact\u2014all while closing process gaps across Business Development, Procurement, Legal, Compliance, and Finance. We need someone who: Is familiar with the pipeline of collecting data, training, and then serving language and multimodal models. Has experience working side-by-side with researchers and engineers. Thrives in a fast-paced, innovative environment. Is passionate about managing high-stakes, time-sensitive, large-scale programs. Takes the initiative and enjoys finding paths through complexity in a fast-paced environment. Is comfortable owning projects that span offices, teams, and time zones, can co-ordinate different workstreams, and drives relentlessly to unblock progress. Demonstrates a proactive attitude and enthusiasm for exploring new methods and technologies. 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. This role is based in Mountain View, CA; you must be local to the San Francisco Bay Area and in office three days per week. \ufeff 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 Track research-ready data and impact  \u2014 ensure acquired datasets reach research teams on schedule, run post-delivery validation, and track downstream model-quality improvements. Develop and implement validation workflows (in-house or vendor-managed); assign scientists, follow up on sign-offs, and report quality metrics. Budget &amp; procurement oversight  \u2014 create a unified tracking mechanism for Purchase Orders (POs), vendor spend, amortization schedules, and delivery milestones; surface risks early and drive on-time completion. Data catalog &amp; governance  \u2014 maintain a central library of validated datasets, metadata, and storage locations for MAI; support compliance and discoverability across Microsoft AI. Cross-functional coordination  \u2014 close operational gaps among Business Development, Procurement, Legal, Compliance, Finance, and Engineering; resolve supplier-web, invoice, or payment issues when escalations occur. Operational tooling &amp; analytics  \u2014 build dashboards that combine budget, delivery status, and impact metrics; leverage Azure, advanced Excel/SQL, and CRM/ERP data to optimize cycle times. Advance the AI frontier responsibly and embody our culture and values. Qualifications Required Qualifications Bachelor\u2019s Degree AND 4+ years experience in engineering, product/technical program management, data analysis, or product development OR equivalent experience. 2+ years of experience managing cross-functional and/or cross-team projects. Hands-on expertise with Azure (storage, IAM, basic networking) and modern data tooling; strong Excel and SQL skills. Proven ability to build budget/impact tracking systems and manage complex cross-functional initiatives. Preferred Qualifications Bachelor\u2019s Degree AND 6+ years experience in technical data operations, procurement program management, or finance systems integration OR equivalent experience. Demonstrated success running large-scale data-validation programs and curating enterprise data catalogs. Familiarity with supplier portals, invoice workflows, and amortization accounting. Technical Program Management IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 - $258,000 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay\u00a0\u00a0\u00a0 Microsoft will accept applications for the role until 09/30/2025.\u00a0", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837030850", "isPrivate": false}, {"id": 1970324837027122, "name": "Member of Technical Staff, AI Pretraining", "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": 1757438836, "t_create": 1753359801, "ats_job_id": 1970324837027122, "display_job_id": 1970324837027122, "type": "ATS", "id_locale": "1970324837027122-en", "job_description": "Help deliver one of the best foundational models in the world at Microsoft AI. At Microsoft AI, we are on a mission to train the world\u2019s most capable AI frontier models, pushing the boundaries of scale, performance and product deployment. The Pre-Training team at Microsoft AI tackles some of the most challenging problems in deep learning at scale. As a team, we will deliver one of the best foundation models in the world, forming the foundation of many initiatives across Microsoft AI.\u00a0 We are looking for outstanding individuals excited about contributing to the next generation of systems that will transform the field. We are looking for candidates who:\u00a0 Have proven expertise in areas of interest, evidenced by an exceptional publication track record and significant technical leadership in high-impact projects\u00a0 Exhibit strong analytical skills, attention to detail, and a commitment to data-driven decision-making\u00a0 Have experience and/or in-depth understandings about large-scale distributed systems\u00a0 Demonstrate an ability to work collaboratively in a fast-paced, innovative environment\u00a0 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\u00a0 Develop algorithms, model architectures, data mixtures, and scaling laws for large-scale training using a rigorous data-driven approach grounded in meticulous ablations\u00a0\u00a0 Drive algorithmic implementations, conduct experiments, and oversee flagship training runs on our in-house large-scale distributed stack\u00a0\u00a0 Collaborate closely with teams on infrastructure, data, post-training, and multimodality\u00a0 Embody our  culture  and  values .\u00a0 Required/Minimum Qualifications \u00b7 Bachelor's Degree in Computer Science, or related technical discipline AND technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python\u00a0 Proven expertise in the area of pretraining Additional or Preferred Qualifications Demonstrated experience in large-scale AI.\u00a0 Passionate about conversational AI and its deployment.\u00a0 Demonstrated written and verbal communication skills with the ability to work closely with cross-functional teams, including product managers, designers, and other engineers.\u00a0\u00a0\u00a0 Passion for learning new technologies and staying up to date with industry trends, best practices, and emerging technologies in AI.\u00a0\u00a0 Proven ability to collaborate and contribute to a positive, inclusive work environment, fostering knowledge sharing and growth within the team.\u00a0\u00a0\u00a0 #copilot #microsoftAI", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837027122", "isPrivate": false}, {"id": 1970324837017107, "name": "Technical Program Manager, Platform", "location": "Redmond, Washington, United States", "locations": ["Redmond, Washington, United States"], "hot": 0, "department": "AI Research Team (9M6I)", "business_unit": "Microsoft AI (QIA5)", "t_update": 1757440391, "t_create": 1749164220, "ats_job_id": 1970324837017107, "display_job_id": 1970324837017107, "type": "ATS", "id_locale": "1970324837017107-en", "job_description": "Overview At Microsoft AI (MAI) we are pushing the boundaries of technology. We are creating unique, beautiful and powerful products that will change lives. A small, friendly, fast-moving team, we support each other to do the best work of our lives, always looking to break new ground, fast. We are proud of what we build, how we build it and that our products will define the AI era. We run lean, obsess about users, and always make our decisions based on the evidence. We ship regularly, so your work will have real and immediate impact. It\u2019s a time of huge change in the AI landscape, and this role will put you right in the heart of it. MAI is responsible for Microsoft\u2019s consumer products including Copilot, Bing, MSN, Microsoft Advertising, and Edge, as well as developing proprietary foundational AI models. MAI works closely with a variety of teams across Microsoft and across the full AI stack to deliver on Microsoft\u2019s AI ambitions. 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. We are seeking a Senior Technical Program Manager, Copilot AI that will operate at the crossroads of product development and implementation process for products and services typically involving large, complex cross-functional implementation with multiple internal teams or external partners shaping the evolution of transformative AI solutions. This role demands deep technical fluency, strategic execution, the ability to scale programs efficiently in a fast-moving environment. You will lead high-impact initiatives, identifying trends in product quality and performance to define or change existing features; prioritizing and delivering on the roadmap; managing project schedules and release plans; monitoring product/service performance and driving continuous improvement in quality, profitability, supportability and delivery. This role requires a balance of technical skills and effective people collaboration skills. By applying to this Redmond, WA position, you are required to be local to the Seattle area in office 3 days a week. \ufeff 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 Technical Program Ownership &amp; Execution Proactively problem solve across engineering teams and shape architecture decisions, optimize system performance, and mitigate technical risks. Drive cross-functional technical initiatives in service of business goals, ensuring seamless integration across infrastructure, product features, and operational workflows. Continuously analyze and refine processes to improve efficiency, reduce costs, and enhance the user experience. Develop best practices and standard operating procedures (SOPs) for internal teams.\u00a0 Cross-Team Leadership &amp; Influence Act as a\u00a0technical bridge\u00a0between engineering, product management, and business teams, ensuring cohesive execution. Advocate for\u00a0scalable development practices, balancing innovation with operational efficiency. Ensure project goals are achieved by their assigned date and maintain a sense of urgency to help the team stay focused on task completion.\u00a0 Data-Driven Decision Making Leverage\u00a0product telemetry, performance metrics, and customer insights\u00a0to refine technical strategies, identifying opportunities for optimization. Ensure measurable impact on quality, scalability, and user experience. Program Execution &amp; Risk Management Own\u00a0technical program execution, mitigate\u00a0cross-team dependencies, and\u00a0ensure timely delivery of product features and infrastructure improvements. Design best practices for program governance, ensuring compliance with security, privacy, and operational standards while balancing executional optimization. Define and track key performance indicators (KPIs) to measure the success of operations projects and the overall health of the infrastructure.\u00a0 Qualifications Required Qualifications Bachelor's Degree AND 4+ years' experience in engineering, product/technical program management, data analysis, product development, or equivalent experience. 3+ years of experience leading cross-functional and/or cross-team projects with emphasis on technical infrastructure systems including popular collaboration tool stack technologies Proven experience leading large-scale projects, including system upgrades, tool administration and platform wide implementations. Hands-on experience with background in administering and optimizing internal tools in the areas of collaboration, program management and ticketing systems. Strong analytical skills, with expertise in data-driven decision-making and program optimization. Ability to navigate ambiguity, driving clarity and execution in a rapidly evolving tech landscape. Preferred Qualifications Experience working with engineering teams, translating technical requirements into scalable implementations. Familiarity with cloud infrastructure, distributed systems, or platform engineering. Passion for learning new technologies and staying up to date with industry trends, best practices, and emerging technologies in web, mobile development, and AI. Ability to work in a fast-paced environment, manage multiple priorities, and adapt to changing requirements and deadlines. Technical Program Management IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 - $258,000 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay\u00a0\u00a0\u00a0 Microsoft will accept applications and processes offers for these roles on an ongoing basis. #Microsoft #copliot", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837017107", "isPrivate": false}, {"id": 1970324837008617, "name": "Member of Technical Staff, AI - Personality & Personalization", "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": 1757441955, "t_create": 1740579882, "ats_job_id": 1970324837008617, "display_job_id": 1970324837008617, "type": "ATS", "id_locale": "1970324837008617-en", "job_description": "Overview:  Microsoft AI is seeking a highly skilled and passionate engineer to join our Copilot Personality &amp; Personalization team, where you\u2019ll help redefine the way humans interact with computers. This role is ideal for someone who thrives in fast-paced, dynamic environments and is eager to push the boundaries of AI research and engineering. Beyond technical expertise, we value positive energy, empathy, and collaboration, as these qualities are integral to our team\u2019s success.\u00a0 You might thrive in this role if: You\u2019re an expert in Natural Language Processing, Reinforcement Learning, and Machine Learning, with a strong focus on personalization.\u00a0 You have experience training and optimizing large-scale language and multimodal models, as well as building robust evaluation pipelines.\u00a0 You\u2019re comfortable working with large ML codebases, debugging complex issues, and improving system performance.\u00a0 You\u2019re passionate about language and how computers use it.\u00a0 You thrive in technically complex environments, with a track record of delivering innovative, real-world AI solutions.\u00a0 If you're passionate about solving open-ended AI challenges and turning breakthrough research into world-class consumer experiences, we\u2019d love to hear from you!\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. 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:  Drive innovation in conversational AI, ensuring Copilot\u2019s personality and model behavior are engaging, effective, and aligned with user needs.\u00a0 Conduct cutting-edge research around AI personality and model behavior, leveraging techniques such as synthetic data generation and reinforcement learning to fine-tune responses.\u00a0 Develop and optimize post-training methods, enhancing AI performance beyond initial training phases.\u00a0 Design and implement scalable AI models, contributing to model architecture, data curation, training &amp; inference infrastructure, and evaluation protocols.\u00a0 Collaborate across teams to integrate new AI capabilities into real-world products, ensuring seamless deployment and user adoption.\u00a0 Overcome roadblocks and find solutions to rapidly iterate and deploy improvements, getting AI-powered experiences into the hands of users quickly.\u00a0 Work in a design-driven, product-focused environment, balancing technical excellence with usability and real-world impact. Embody our  Culture  and  Values .\u00a0 Required Qualifications: Bachelor's Degree in Computer Science, or related technical discipline AND 6+ years technical engineering experience with coding in languages including, but not limited to, Python, C, C++, C#, or TypeScript\u00a0 OR equivalent experience.\u00a0 Experience applying, evaluating, and/or training large language models (LLMs).\u00a0\u00a0 Preferred Qualifications:\u00a0 3+ years experience developing and deploying live production systems, as part of a product team.\u00a0 5+ years experience creating publications (e.g., patents, libraries, peer-reviewed academic papers).\u00a0 2+ years experience presenting at conferences or other events in the outside research/industry community as an invited speaker.\u00a0 5+ years experience conducting research as part of a research program (in academic or industry settings).\u00a0 3+ years experience developing and deploying products or systems at multiple points in the product cycle from ideation to shipping.\u00a0 Demonstrated experience in large-scale AI.\u00a0 Passionate about conversational AI and its deployment.\u00a0 Demonstrated written and verbal communication skills with the ability to work closely with cross-functional teams, including product managers, designers, and other engineers.\u00a0 Passion for learning new technologies and staying up to date with industry trends, best practices, and emerging technologies in AI.\u00a0 Proven ability to collaborate and contribute to a positive, inclusive work environment, fostering knowledge sharing and growth within the team.\u00a0\u00a0 Software Engineering IC5 - The typical base pay range for this role across the U.S. is USD $137,600 - $267,000 per year.\u00a0There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $180,400 - $294,000 per year. Software Engineering IC6 - The typical base pay range for this role across the U.S. is USD $161,600 - $286,200 per year.\u00a0There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $209,600 - $314,400 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay\u00a0\u00a0\u00a0 Microsoft will accept applications and processes offers for these roles on an ongoing basis. #Copilot #MicrosoftAI", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "hybrid", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837008617", "isPrivate": false}, {"id": 1970324837008486, "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": 1758008194, "t_create": 1740415707, "ats_job_id": 1970324837008486, "display_job_id": 1970324837008486, "type": "ATS", "id_locale": "1970324837008486-en", "job_description": "Help build the world\u2019s most advanced training platform at Microsoft AI We are on a mission to create the leading pretraining platform to develop the world\u2019s most capable AI frontier models. This platform will span one of the world\u2019s most foremost\u00a0GPU clusters ,  pushing the boundaries of scale, performance, and reliability.\u00a0 The AI Pre - training Platform team at Microsoft AI is responsible for all aspects of infrastructure including scalability, benchmarking, kernel development, performance optimizations, communications, and fault tolerance to support our model pre-training operations. We are an interdisciplinary team of engineers and scientists, learning from each other, and collaborating to create the best models, methods and products. We work closely with the teams that transform pre-trained models into the models that power the consumer Copilot experience.\u00a0 We are looking for outstanding individuals excited about contributing to the next generation of systems that will transform the field. We are looking for candidates who:\u00a0 Are passionate about the infrastructure enabling large-scale AI model training\u00a0 Will thrive in a highly collaborative, fast-paced environment\u00a0 Have a high degree of craftsmanship and pay close attention to details\u00a0 Demonstrate a proactive attitude and enthusiasm for exploring new methods and technologies\u00a0 Effectively manage multiple responsibilities and can adjust to shifting priorities.\u00a0\u00a0 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\u00a0 Design and develop Python and CUDA/HIP C++ code that enable distributed training of multimodal LLMs ingesting text, audio, images, or video data.\u00a0 Build and maintain cutting-edge infrastructure that can store and process the petabytes of data needed to power models.\u00a0 Partner with the pretraining and post-training teams to improve our data recipe by rigorous and careful experimentation.\u00a0 Collaborate with the product team and other engineers and researchers across Microsoft AI to identify gaps in the current generation of models.\u00a0 Embody our  culture  and  values .\u00a0 Required/Minimum Qualifications\u00a0 Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND experience in business analytics, data science, software development, data modeling or data engineering work\u00a0 OR Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND experience in business analytics, data science, software development, or data engineering work\u00a0 Experience with HPC (High performance computing) and/ or parallel programming? Experience in the area of pretraining Experience working with GPU clusters Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.\u00a0If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request\u00a0via the  Accommodation request form . 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