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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. 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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": 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": 0, "department": "AI Research Team (9M6I)", "business_unit": "Microsoft AI (QIA5)", "t_update": 1750989980, "t_create": 1750776899, "ats_job_id": 1970324837018176, "display_job_id": 1970324837018176, "type": "ATS", "id_locale": "1970324837018176-en", "job_description": "Leverage subject matter expertise to uncover and mitigate safety issues in consumer Copilot. Oversee data acquisition or generation efforts, ensuring that the data meets product needs. Generalize machine learning (ML) solutions into repeatable frameworks. Conduct thorough review of data analysis and techniques used to summarize the process review and highlight areas that have been missed or need reexamining. Track advances in industry and academia, identify relevant state-of-the-art research, and adapt algorithms and/or techniques to drive innovation and develop new solutions. Independently write efficient, readable, extensible code and model pipelines. Contribute to defining the safety roadmap for Copilot, keeping in mind business and product goals. Commit to a customer-oriented focus by acknowledging customer needs and perspectives, validating customer perspectives, focusing on broader customer context, and serving as a trusted advisor. 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/1970324837018176", "isPrivate": false}, {"id": 1970324837009314, "name": "Member of Technical Staff, Copilot Prompt Engineer", "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": 1747242513, "t_create": 1741217423, "ats_job_id": 1970324837009314, "display_job_id": 1970324837009314, "type": "ATS", "id_locale": "1970324837009314-en", "job_description": "APPLY FOR THIS JOB RIGHT NOW. Design & develop prompting techniques for emotional and intellectual use cases Establish frameworks for AI companions to navigate complex social and ethical situations with nuance and care Create evaluations to measure both technical/practical performance and non-deterministic performance like EQ Teach others prompting techniques and ways-of-working to elevate the prompting skill throughout the team Research & implement novel prompting techniques Embody our culture and values. Chain-of-thought experience: prompting techniques that guide AI systems through reasoning processes A novel prompting discovery: a really interesting challenge that you've solved in a creative way Scaled implementation: you've shipping prompted systems that work reliably at production scale with diverse user populations Evaluation design: you've built robust testing frameworks to measure AI behavior against goals User-centric approach: proven understanding of how prompting decisions impact the lived experience of people who interact with AI A wonderful writer who loves words, storytelling, or linguistics. Effective written communication skills: able to convey complex information clearly, concisely, and effectively for various audiences Comfort with ambiguity in an exponentially growing space Bachelor's Degree in Computer Science, Philosophy, Linguistics, Psychology, Literature, or related 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. 2+ years of experience with large language models. A non-traditional background: philosophy, linguistics, psychology, therapy, or literature. An understanding of conversation design or product design. Familiarity with both quantitative metrics and qualitative assessment methods. Experience with personalization systems that adapt to individual user needs. Adversarial prompting experience or conducted some unhinged experiments. Ethical experience with demonstrated social impact.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "hybrid", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837009314", "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": 1748537696, "t_create": 1740579882, "ats_job_id": 1970324837008617, "display_job_id": 1970324837008617, "type": "ATS", "id_locale": "1970324837008617-en", "job_description": "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 OR equivalent experience. Experience applying, evaluating, and/or training large language models (LLMs). 3+ years experience developing and deploying live production systems, as part of a product team. 5+ years experience creating publications (e.g., patents, libraries, peer-reviewed academic papers). 2+ years experience presenting at conferences or other events in the outside research/industry community as an invited speaker. 5+ years experience conducting research as part of a research program (in academic or industry settings). 3+ years experience developing and deploying products or systems at multiple points in the product cycle from ideation to shipping. 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.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "hybrid", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837008617", "isPrivate": false}, {"id": 1970324837016562, "name": "Senior Data Scientist, Copilot AI", "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": 1749050088, "t_create": 1748364389, "ats_job_id": 1970324837016562, "display_job_id": 1970324837016562, "type": "ATS", "id_locale": "1970324837016562-en", "job_description": "Overview As Microsoft continues to push the boundaries of AI, we are on the lookout for passionate individuals to work with us on the most interesting and challenging AI questions of our time. Our vision is bold and broad \u2014 to build systems that have true artificial intelligence across agents, applications, services, and infrastructure. It\u2019s also inclusive: we aim to make AI accessible to all \u2014 consumers, businesses, developers \u2014 so that everyone can realize its benefits. Microsoft AI (MS AI) is seeking an experienced Data Scientist to help build the next wave of capabilities of our personal AI, Copilot. We\u2019re looking for someone who thinks deeply about measurement and human-AI interactions\u2014in this role you help us describe and measure how people use Microsoft Copilot. We seek a versatile data scientist who can architect solutions that stand the test of time and who will bring an abundance of positive energy, empathy, and kindness to the team every day, in addition to being highly effective. 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. 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. Responsibilities Develop and improve evaluation methodologies to assess model output quality, for both machine eval and human eval metrics and coverage. Design and implement scalable data pipelines to extract, transform, and structure product logs for evaluation use cases. Synthesize datasets for human or machine evaluation. Analyze and interpret results from A/B tests, offline benchmarks, and live experiments to drive actionable recommendations. Train ML classifiers to analyze and label user logs (e.g., classify intent, detect quality issues) for evaluation Draw insights from eval results and form recommendations, drive different eval experiments to find the most optimal solutions. Work closely with product managers, engineers, and researchers to define evaluation criteria aligned with product goals and user value. Create and maintain dashboards and reporting tools to monitor eval performance and trends. Contribute to the development of custom metrics that go beyond standard benchmarks to capture product-specific nuances. Stay current on the latest in LLM research on evaluation and prompting. Embody our Culture and Values . Required Qualifications Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience. 5+ years of experience in data science, ML evaluation, or applied research. Working knowledge of LLM evaluation methods, including experience conducting both human evaluations and LLM-as-a-judge assessments Experience using Python, SQL, and common data analysis libraries for data processing and analysis. Ability to analyze complex problems, communicate findings clearly, and translate insights into actionable steps. Preferred Qualifications Experience building or evaluating LLM applications in production. Product-driven thinking. Ability to work in a fast-paced environment, manage multiple priorities, and adapt to changing requirements and deadlines.\u00a0 Data Science 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 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/1970324837016562", "isPrivate": false}, {"id": 1970324837016564, "name": "Senior Product Manager, Copilot AI", "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": 1749089179, "t_create": 1748368272, "ats_job_id": 1970324837016564, "display_job_id": 1970324837016564, "type": "ATS", "id_locale": "1970324837016564-en", "job_description": "Define the end-to-end evaluation strategy for LLM-based product, spanning defining metrics, building datasets, synthesize insights and translate them into actionable steps for product response quality improvement. Design and run human evaluations, write evaluation guidelines, and ensure evaluation quality. Design and write LLM-as-judge prompts, build and run machine evaluations. Collaborate with engineers, and product teams to drive eval implementations and share best practices across the board. Partner with data and insights teams to develop scalable pipelines and dashboards to track pre-launch eval performance across all dimensions. Own product requirements and roadmaps for internal tools used to run and analyze evaluations at scale. Translate evaluation insights into actionable product improvements and inform product quality improvement decisions. Monitor trends in product performance, user feedback, and competitive benchmarks to continuously refine evaluation approaches. Own key projects, proactively identifying risks and proposing solutions to ensure timely delivery. Coordinate Cross-Team Collaboration: Work closely with engineering, data science, and product stakeholders to align on goals, track deliverables, and communicate status updates effectively. Embody our Culture and Values. Bachelor's Degree AND 5+ years experience in product/technical program management or software development OR equivalent experience. 3+ years of experience leading multi-disciplinary projects, defining requirements, developing project plans and working with multi-disciplinary teams to execute them. Experience in building and evaluating ML-powered or LLM-powered products. Computer science background, experience in training/ evaluation of LLMs Technical depth in software development, data science and machine learning. While you are not expected to write code on the critical path, you're able to define and execute on zero-to-one prototypes, reason over large amounts of data, and speak the language of the engineers and researchers you work with. Experience using and applying Large Language Models. LLMs will be your clay - you should know how to prompt engineer them, how to evaluate them, and understand how they are tuned.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837016564", "isPrivate": false}, {"id": 1970324837005193, "name": "Director, Business Strategy", "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": 1750779999, "t_create": 1737490359, "ats_job_id": 1970324837005193, "display_job_id": 1970324837005193, "type": "ATS", "id_locale": "1970324837005193-en", "job_description": "You will contribute to large strategy projects while also defining and managing small projects (with guidance as needed) as well as contributing to managing the rhythm of business. You will also function as an advisor to senior leadership on a particular area of expertise to inform strategic business decisions. You will conduct market-based research and analyses and create initial framing for strategic questions with limited input. You will also synthesize findings into insights across projects and leverage those insights to develop recommendations and ideas around potential growth opportunities. You will communicate and advocate insights to senior business leaders. As you establish and maintain key points of contact with internal teams, you will cultivate relationships with leaders of internal teams. Embody our Culture and Values. Bachelor's Degree in Business, Finance, Economics, Liberal Arts, Computer Science, or related field AND 8+ years management consulting relating to consumer product OR Master's Degree in Business Administration or related field AND 6+ years management consulting Bachelor's Degree in Business, Finance, Economics, Liberal Arts, Computer Science, or related field AND 10+ years management consulting OR Master's Degree in Business Administration or related field AND 10+ years management consulting OR equivalent experience.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837005193", "isPrivate": false}, {"id": 1970324837017904, "name": "Security Program Manager, Infrastructure & Platform", "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": 1750860283, "t_create": 1750372776, "ats_job_id": 1970324837017904, "display_job_id": 1970324837017904, "type": "ATS", "id_locale": "1970324837017904-en", "job_description": "Overview At Microsoft AI (MAI)\u00a0we\u00a0are pushing the boundaries of technology. We are creating unique,\u00a0beautiful,\u00a0and powerful products that will change\u00a0lives. 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\u00a0it\u00a0and 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\u00a0real\u00a0and immediate impact.\u00a0It\u2019s\u00a0a time of huge change in the AI landscape, and this role will put you right in the heart of it.\u00a0\u00a0\u00a0\u00a0 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.\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 We\u2019re\u202fon the lookout for a highly motivated and detail-oriented Security Program Manager, Infrastructure & Platform to help bring our vision to life as we build the next wave of AI capabilities of our personal AI, Copilot.\u00a0We\u2019re\u202flooking for someone with an abundance of positive energy, empathy, and kindness, in addition to being highly effective. The right candidate takes the initiative and enjoys finding paths through complexity in a fast-paced environment. Your projects will often span offices, time zones, and hemispheres. It will be your job to enable functions and drive execution.\u00a0 By applying to this U.S. Mountain View, CA OR Redmond, WA position, you\u00a0are required to\u00a0be local to the San Francisco\u00a0OR Seattle area in office 3 days a week. Responsibilities Leads complex, cross-functional program portfolios with full accountability for strategic planning,\u00a0drive\u00a0execution\u00a0velocity,\u00a0risk mitigation,\u00a0and delivery across multiple\u00a0teams\u00a0globally.\u00a0\u00a0 Manage security rollouts, ensure\u00a0compliance\u00a0and drive privacy and security\u00a0initiatives\u00a0at scale\u00a0 Leverage data and analytics to\u00a0identify\u00a0opportunities for improvement, track progress, and measure the impact of quality and efficiency programs on key metrics.\u00a0 Fosters a culture of collaboration, continuous improvement, and growth. Accountable to own the status of key projects, proactively\u00a0identifying\u00a0risks and proposing solutions to ensure\u00a0timely\u00a0delivery\u00a0 Champion a culture of operational excellence, agility, and inclusion, mentoring team members and influencing cross-functional leaders.\u00a0 Defines program vision, success metrics, and operational frameworks, ensuring alignment with business\u00a0objectives, technical constraints, and organizational priorities\u00a0 Build and\u00a0maintain\u00a0strong relationships with stakeholders, fostering collaboration, empathy, and respect to achieve business goals\u00a0 Translate ambiguous business goals into clear deliverables and repeatable workflows, managing trade-offs,\u00a0between speed, scope, and quality.\u00a0 Communicate program vision and updates to executive leadership,\u00a0identifying\u00a0risks early and providing clear recommendations for decision-making.\u00a0 Qualifications Required Qualifications Bachelor's Degree in Business, Operations,\u00a0Product,\u00a0or related field AND\u00a04+\u00a0years\u00a0work experience in program management, process management, process improvement, or equivalent experience.\u00a0 8\u201310 years of experience in program or technical program management in a product-led technology company.\u00a0 Security Infrastructure\u00a0expertise; familiarity with\u00a0cloud security, identity and access management, and secure data storage solutions.\u00a0 Strong execution skills in managing platform infrastructure rollouts, ensuring compliance, and managing platform customers. Proven success leading large, complex, cross-functional programs with high visibility and business impact.\u00a0 Experience managing across engineering\u00a0and product functions,\u00a0and dependent teams\u00a0with\u00a0a track record\u00a0of influencing without authority.\u00a0 Preferred Qualifications 10-12 years of experience in program or technical program management in a product-led technology company.\u00a0 Exceptional\u00a0executive communication and presentation skills, with the ability to synthesize complex ideas for leadership audiences.\u00a0 Operated successfully as both a strategist and executor in various\u00a0areas of business.\u00a0 Business Program Management IC4 - The typical base pay range for this role across the U.S. is USD $96,500 - $188,400 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 $123,500 - $206,400 per year. Certain roles may be eligible for benefits and other compensation. 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