copilot p0ps jobs in Microsoft

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Build secure and performant AI Platform services that power Copilot. Work collaboratively with other AI Researchers, Platform, infrastructure, application engineers to build next generation AI products and services. Ship high-quality, well-tested, secure, and maintainable code. Find a path to get things done despite roadblocks to get your work into the hands of users quickly and iteratively. Enjoy working in a fast-paced, design-driven, product development cycle. Embody our Culture and Values. Bachelor's degree in computer science, or related technical discipline AND 4+ years technical engineering experience building customer-facing applications/products with coding in languages including, but not limited to C#, Python, Java, Golang OR equivalent experience. Experience leveraging generative AI technologies to develop innovative and user-focused product features. 4+ years' experience building APIs and creating pipelines for large-scale products 4+ years' experience building scalable services on top of public cloud infrastructure like Azure, AWS, or GCP. Extensive use datastores like RDBMS, key-value stores, etc. Experience using Machine Learning frameworks, including experience using, deploying, and scaling language learning models, either personally or professionally. Ability to identify, analyze, and resolve complex technical issues, ensuring optimal performance, scalability, and user experience. Dedication to writing clean, maintainable, and well-documented code with a focus on application quality, performance, and security. Demonstrated interpersonal skills and ability to work closely with cross-functional teams, including product managers, designers, and other engineers. Ability to clearly communicate complex technical concepts to both technical and non-technical stakeholders. Passion for learning new technologies and staying up to date with industry trends, best practices, and emerging technologies in web development and AI. Ability to work in a fast-paced environment, manage multiple priorities, and adapt to changing requirements and deadlines. 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": "onsite", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837009674", "isPrivate": false}, {"id": 1970324837005425, "name": "Member of Technical Staff, AI Platform Engineer", "location": "Mountain View, California, United States", "locations": ["Mountain View, California, United States"], "hot": 1, "department": "Copilot (P0PS)", "business_unit": "Microsoft AI (QIA5)", "t_update": 1760371369, "t_create": 1737648765, "ats_job_id": 1970324837005425, "display_job_id": 1970324837005425, "type": "ATS", "id_locale": "1970324837005425-en", "job_description": "As an AI Platform Engineer, you will play a crucial role in building and releasing production software at the platform level. You will work on APIs, data flows, systems, and services that form the backbone of our AI products. Your expertise will help us create robust and scalable platforms that drive innovation and efficiency. Design, develop, and maintain platform-level software solutions. Collaborate with cross-functional teams to integrate AI capabilities into various products. Ensure the reliability, scalability, and performance of platform components. Stay updated with the latest advancements in AI and engineering. Work alongside the technical staff and AI researchers to improve model development flows. Embody our Culture and Values. Bachelor's degree in computer science, or related/equivalent technical discipline AND 4+ years technical engineering experience building and scaling web services, APIs, and products. OR equivalent experience. Deep experience with Python AND at least one of the following: Golang, Java/Scala, Typescript (React, Next.js) 4+ years' experience in building and releasing production software at the platform level. Strong knowledge of APIs, data flows, systems, and services. Bachelor's degree in computer science, or related technical discipline AND 6+ years technical engineering experience building web services with coding in languages including, but not limited to: Python, Golang, Java/Scala, Rust 6+ years' experience in building and releasing production software at the platform level. Deep experience with all of the following languages: Golang, Java/Scala, Typescript (React/Next.js) Experience in model pretraining, post-training, evaluation, and inference Experience using Machine Learning frameworks, including experience using, deploying, and scaling language learning models, either personally or professionally. Ability to clearly communicate complex technical concepts to both technical and non-technical stakeholders. Demonstrated interpersonal skills and ability to work closely with cross-functional teams, including product managers, designers, and other engineers. Proven ability to collaborate and contribute to a positive, inclusive work environment, fostering knowledge sharing and growth within the team. Experience going from zero-to-one as well as working with developed systems. Ability to work in a fast-paced environment, manage multiple priorities, and adapt to changing requirements and deadlines.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837005425", "isPrivate": false}, {"id": 1970324837133660, "name": "Member of Technical Staff, Applied Scientist", "location": "Mountain View, California, United States", "locations": ["Mountain View, California, United States"], "hot": 0, "department": "Copilot (P0PS)", "business_unit": "Microsoft AI (QIA5)", "t_update": 1760654204, "t_create": 1760549556, "ats_job_id": 1970324837133660, "display_job_id": 1970324837133660, "type": "ATS", "id_locale": "1970324837133660-en", "job_description": "Overview:  We\u2019re seeking a Member of Technical Staff \u2013 Applied Scientist to help design and build advanced Copilot features such as Deep Research and Web artifact generation. This role demands deep expertise in large language models (LLMs) and a strong architectural mindset to shape complex, user-facing systems. You\u2019ll contribute to the evolution of Copilot by developing scalable methods for evaluating feature performance, designing data collection pipelines for prompt engineering and fine-tuning, and training content classifiers that support intelligent, context-aware interactions.  The ideal candidate brings hands-on experience in building applications powered by LLMs, along with a solid foundation in data science and machine learning. You\u2019re a proactive collaborator who communicates clearly, thrives in fast-paced environments, and takes ownership of delivering world-class consumer experiences. If you enjoy pushing the boundaries of AI-driven products and working across disciplines to create intuitive, high-impact solutions, we\u2019d love to hear from you.  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 position, you are required to be local to the San Francisco area and in office 3 days a week.  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: Architect and implement advanced Copilot features such as Deep Research and Web artifact generation Lead evaluation efforts of models deployed within Copilot, ensuring performance aligns with product goals Design scalable systems that leverage large language models (LLMs) to deliver intelligent, user-facing experiences Develop evaluation frameworks and metrics to assess feature performance and user impact Conduct thorough reviews of data analysis and techniques to identify gaps and areas for re-examination Build data collection pipelines to support prompt engineering and fine-tuning of LLMs Track advances in industry and academia, identify relevant state-of-the-art research, and adapt algorithms to drive innovation Train and optimize content classifiers to enable context-aware interactions within Copilot Independently write efficient, readable, and extensible code and model pipelines Contribute to defining the model quality roadmap for Copilot, balancing technical rigor with business and product priorities Collaborate cross-functionally with product, engineering, and research teams to ship high-quality consumer features Commit to a customer-oriented focus by validating customer perspectives, understanding broader context, and serving as a trusted advisor Communicate technical concepts clearly and contribute to team-wide knowledge sharing Take initiative in a fast-paced environment, driving innovation and continuous improvement in AI-powered products Qualifications: Required Qualifications:  Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics predictive analytics, research) OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research) OR equivalent experience. Experience prompting, evaluating, and working with large language models.  Experience writing production-quality Python code.  Preferred Qualifications:  Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research) OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience. Demonstrated interest in Responsible AI.  Applied Sciences 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. Applied Sciences 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/1970324837133660", "isPrivate": false}, {"id": 1970324837116946, "name": "Member of Technical Staff, Product Engineer", "location": "London, London, City of, United Kingdom", "locations": ["London, London, City of, United Kingdom"], "hot": 0, "department": "Copilot (P0PS)", "business_unit": "Microsoft AI (QIA5)", "t_update": 1760432215, "t_create": 1760116089, "ats_job_id": 1970324837116946, "display_job_id": 1970324837116946, "type": "ATS", "id_locale": "1970324837116946-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.\u00a0It\u2019s\u00a0also inclusive: we aim to make AI accessible to all \u2014 consumers, businesses, developers \u2014 so that everyone can realize its benefits.\u00a0\u00a0 Microsoft AI (MAI) is seeking experienced Product Engineers to help build the Copilot web experiences which are available on\u00a0 copilot.microsoft.com , Edge Browser and Window OS.\u00a0You\u2019ll\u00a0work in a deeply iterative, collaborative, fast-paced environment to bring our technology to millions of users around the world, and ensure\u00a0it\u2019s\u00a0delivered with safety and reliability in mind. We value engineers who are self-starters, care deeply about the end user experience, and take pride in building products to solve customer needs.\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\u00a0 Responsibilities Ship delightful, AI powered experiences that will shape how millions of people will interact with AI in the future.\u00a0 Collaborate with AI researchers, product managers, and designers to bring a world-class AI companion to the world.\u00a0 Design and build efficient and reusable front-end systems that drive complex web applications.\u00a0 Plan and deploy front end infrastructure necessary to build, test, and deploy our products.\u00a0 Join a small team of world class product engineers with deep\u00a0frontend\u00a0expertise\u00a0who are obsessed with building beautiful and performant products.\u00a0\u00a0 Embody our\u202f Culture\u202f and\u202f Values .\u00a0 Required Qualifications: Bachelor\u2019s degree in computer science, or related technical discipline AND\u00a0software\u00a0engineering experience building web\u00a0products at scale\u00a0by\u00a0coding in languages including, but not limited to,\u00a0Typescript\u00a0and\u00a0React\u00a0 Preferred Qualifications: Have 0 to 1 experience with a bias towards shipping and learning, while balancing a\u00a0high-quality\u00a0bar.\u00a0 Take a user-centric approach to product development, prioritizing solutions that result in the best user experience and have the technical\u00a0expertise\u00a0to pull it off.\u00a0 Thrive in a fast-paced, collaborative environment and are comfortable making progress in ambiguity.\u00a0 Enjoy working closely with\u00a0cross-functional\u00a0partners and teammates in an inclusive, curious culture.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837116946", "isPrivate": false}, {"id": 1970324837116756, "name": "Member of Technical Staff, Applied Scientist - Windows Copilot", "location": "Redmond, Washington, United States", "locations": ["Redmond, Washington, United States"], "hot": 0, "department": "Copilot (P0PS)", "business_unit": "Microsoft AI (QIA5)", "t_update": 1760653541, "t_create": 1760036938, "ats_job_id": 1970324837116756, "display_job_id": 1970324837116756, "type": "ATS", "id_locale": "1970324837116756-en", "job_description": "Overview The Windows Copilot team is at the forefront of redefining how AI enhances everyday computing. This team owns the full stack\u2014from cutting-edge AI infrastructure and model development, to crafting seamless user experiences directly in Windows. We\u2019re building and shipping consumer-scale services that are transforming how users interact with their PCs. Whether it\u2019s designing intelligent prompts, engineering robust backends to interface with models, or developing native Windows platform and UX features, this team does it all. We are hiring an Applied Scientist to lead the end-to-end model-building process, including problem understanding, data curation, model development, deployment, and iteration based on real-world feedback. This role will serve as a critical bridge between Microsoft Research and the engineering team, taking increasing ownership of model training responsibilities. 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. Redmond, WA\u00a0position, you are required to be local to the Seattle area in office 3 days a week. 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 and refine data pipelines and infrastructure to support AI model development for Copilot.\u00a0 Collaborate with research teams to integrate cutting-edge AI advancements into production systems.\u00a0 Design, train, and evaluate machine learning models, ensuring performance optimization and scalability.\u00a0 Work closely with engineering and product teams to ensure AI-driven experiences meet quality and user experience standards.\u00a0 Conduct rigorous data analysis and experimentation, leveraging insights to improve Copilot\u2019s intelligence.\u00a0\u00a0 Overcome obstacles to deliver iterative improvements in AI performance and responsiveness.\u00a0\u00a0 Stay ahead of the latest innovations in deep learning, reinforcement learning, and generative AI.\u00a0 Embody our\u00a0 Culture and\u00a0 Values .\u00a0\u00a0 Qualifications Required Qualifications Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics, predictive analytics, research) OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ years related experience (e.g., statistics, predictive analytics, research)\u00a0\u00a0 OR equivalent experience.\u00a0 Proven track record of deploying machine learning models in large-scale production environments.\u00a0 4+ years of experience building data pipelines, training deep learning models, and optimizing AI workflows.\u00a0 Preferred Qualifications Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 9+ years related experience (e.g., statistics, predictive analytics, research)  OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)  OR equivalent experience. Proven track record of deploying machine learning models in large-scale production environments.\u00a0 9+ years of experience building data pipelines, training deep learning models, and optimizing AI workflows.\u00a0 Applied Sciences 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. Applied Sciences 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": "onsite", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837116756", "isPrivate": false}, {"id": 1970324837116485, "name": "Member of Technical Staff, Internal Tools Engineer", "location": "Mountain View, California, United States", "locations": ["Mountain View, California, United States"], "hot": 0, "department": "Copilot (P0PS)", "business_unit": "Microsoft AI (QIA5)", "t_update": 1760646090, "t_create": 1760019268, "ats_job_id": 1970324837116485, "display_job_id": 1970324837116485, "type": "ATS", "id_locale": "1970324837116485-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.\u00a0 Microsoft AI (MAI) is seeking experienced Product Engineers to help build the Copilot web experiences which are available on  copilot.microsoft.com , Edge Browser and Window OS. You\u2019ll work in a deeply iterative, collaborative, fast-paced environment to bring our technology to millions of users around the world, and ensure it\u2019s delivered with safety and reliability in mind. We value engineers who are self-starters, care deeply about the end user experience, and take pride in building products to solve customer needs.\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\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 In this role, you will:\u00a0 Ship delightful, AI powered experiences that will shape how millions of people will interact with AI in the future\u00a0 Collaborate with AI researchers, product managers, and designers to bring a world-class AI companion to the world\u00a0 Design and build efficient and reusable front-end systems that drive complex web applications\u00a0 Plan and deploy front end infrastructure necessary to build, test, and deploy our products\u00a0 Join a small team of world class product engineers with deep frontend expertise who are obsessed with building beautiful and performant products.\u00a0\u00a0 Embody our\u202f Culture\u202f and\u202f Values .\u00a0 Qualifications Required Qualifications Bachelor's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. Preferred Qualifications Bachelor\u2019s degree in computer science, or related technical discipline AND 10+ years software engineering experience building web products at scale by coding in languages including, but not limited to, Typescript and React\u00a0 OR Master's Degree in Computer Science, or related technical discipline AND 8+ years software engineering experience building web products at scale by coding in languages including, but not limited to, Typescript and React\u00a0 OR equivalent experience.  Have 0 to 1 experience with a bias towards shipping and learning, while balancing a high-quality bar.\u00a0 Take a user-centric approach to product development, prioritizing solutions that result in the best user experience and have the technical expertise to pull it off.\u00a0 Thrive in a fast-paced, collaborative environment and are comfortable making progress in ambiguity.\u00a0 Enjoy working closely with cross-functional partners and teammates in an inclusive, curious culture.\u00a0 Software Engineering IC3 - The typical base pay range for this role across the U.S. is USD $100,600 - $199,000 per year.\u00a0 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 $131,400 - $215,400 per year. Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year.\u00a0 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.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837116485", "isPrivate": false}, {"id": 1970324837113552, "name": "Member of Technical Staff, Web Product Engineer", "location": "Redmond, Washington, United States", "locations": ["Redmond, Washington, United States"], "hot": 0, "department": "Copilot (P0PS)", "business_unit": "Microsoft AI (QIA5)", "t_update": 1759953438, "t_create": 1759944413, "ats_job_id": 1970324837113552, "display_job_id": 1970324837113552, "type": "ATS", "id_locale": "1970324837113552-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.\u00a0 Microsoft AI (MAI) is seeking experienced Product Engineers to help build the Copilot web experiences which are available on  copilot.microsoft.com , Edge Browser and Window OS. You\u2019ll work in a deeply iterative, collaborative, fast-paced environment to bring our technology to millions of users around the world, and ensure it\u2019s delivered with safety and reliability in mind. We value engineers who are self-starters, care deeply about the end user experience, and take pride in building products to solve customer needs.\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\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 In this role, you will:\u00a0 Ship delightful, AI powered experiences that will shape how millions of people will interact with AI in the future\u00a0 Collaborate with AI researchers, product managers, and designers to bring a world-class AI companion to the world\u00a0 Design and build efficient and reusable front-end systems that drive complex web applications\u00a0 Plan and deploy front end infrastructure necessary to build, test, and deploy our products\u00a0 Join a small team of world class product engineers with deep frontend expertise who are obsessed with building beautiful and performant products.\u00a0\u00a0 Embody our\u202f Culture\u202f and\u202f Values .\u00a0 Qualifications Required Qualifications Bachelor\u2019s degree in computer science, or related technical discipline AND 4+ years software engineering experience building web products at scale by coding in languages including, but not limited to, Typescript and React\u00a0 OR equivalent experience.\u00a0 Preferred Qualifications Bachelor\u2019s degree in computer science, or related technical discipline AND 10+ years software engineering experience building web products at scale by coding in languages including, but not limited to, Typescript and React\u00a0 OR Master's Degree in Computer Science, or related technical discipline AND 8+ years software engineering experience building web products at scale by coding in languages including, but not limited to, Typescript and React\u00a0 OR equivalent experience.  Have 0 to 1 experience with a bias towards shipping and learning, while balancing a high-quality bar.\u00a0 Take a user-centric approach to product development, prioritizing solutions that result in the best user experience and have the technical expertise to pull it off.\u00a0 Thrive in a fast-paced, collaborative environment and are comfortable making progress in ambiguity.\u00a0 Enjoy working closely with cross-functional partners and teammates in an inclusive, curious culture.\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": "onsite", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837113552", "isPrivate": false}, {"id": 1970324837113550, "name": "Member of Technical Staff, MLE", "location": "Mountain View, California, United States", "locations": ["Mountain View, California, United States"], "hot": 0, "department": "Copilot (P0PS)", "business_unit": "Microsoft AI (QIA5)", "t_update": 1760022872, "t_create": 1759942679, "ats_job_id": 1970324837113550, "display_job_id": 1970324837113550, "type": "ATS", "id_locale": "1970324837113550-en", "job_description": "Overview :\u00a0 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\u202fto build systems that have true artificial intelligence\u202facross 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.\u00a0 Microsoft AI (MAI) is looking for a talented and experienced  Machine Learning Engineer  to join our  Growth team  and help shape the next generation of AI systems, specifically for our personal AI assistant, Copilot. This role focuses on optimizing user engagement, retention, and personalization with innovative AI solutions, with a strong preference for expertise in recommendation systems and feed algorithms. However, we also welcome candidates with broader machine learning experience and a passion for solving dynamic AI challenges.\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:\u00a0 Develop and Deploy Models : Design, develop, and implement machine learning models for high-performance recommendation systems and personalized feeds. Candidates without direct experience in recommendations and ranking are still encouraged to apply if they possess exceptional technical skills in other areas of machine learning.\u00a0 Large Language Model Expertise : Leverage large language models (LLMs) to create scalable, intelligent solutions for content understanding, user engagement, and relevance ranking.\u00a0 Experimentation and Analysis : Drive data-driven experimentation using A/B testing, advanced analytics, and statistical techniques to identify growth opportunities and refine algorithms.\u00a0 Infrastructure Optimization : Develop and optimize pipelines, tools, and infrastructure to support real-time decision-making, personalization, and predictive analytics.\u00a0 Technical Leadership : Mentor team members and foster collaboration within cross-functional teams, including engineers, product managers, and designers.\u00a0 Continuous Innovation : Stay informed on emerging trends in AI and machine learning, and integrate them to drive innovation and improve product offerings.\u00a0 Cross-functional Collaboration : Articulate findings and recommendations to technical and non-technical audiences, influencing decisions across teams and leadership.\u00a0 Embody our\u202f Culture \u202fand\u202f Values .\u00a0 Required Qualifications:\u202f 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 3+ years of experience building and deploying ML models in production environments. Strong coding skills in Python and experience with ML frameworks (e.g., PyTorch, TensorFlow). Familiarity with data processing tools (e.g., Spark, Pandas) and cloud platforms (e.g., Azure, AWS). Experience with classification, recommendation, or personalization systems. Preferred Qualifications:\u202f Advanced degree (PhD/MS) in Computer Science, Machine Learning, AI, or a related field; or equivalent experience.\u00a0 Proven expertise in building and deploying recommendation systems and personalized feed algorithms at scale.\u00a0 Experience using large language models (LLMs) for machine learning and AI applications.\u00a0 Hands-on experience in growth engineering, driving improvements in user acquisition, engagement, and retention.\u00a0 Hands-on experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.\u00a0 Expertise in personalization strategies and user behavior modeling.\u00a0 Strong problem-solving skills and the ability to independently design solutions to complex challenges.\u00a0 Excellent communication skills, with the ability to influence technical and non-technical audiences.\u00a0 Ability to work in a fast-paced environment, manage multiple priorities, and adapt to changing requirements and deadlines.\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": "onsite", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837113550", "isPrivate": false}, {"id": 1970324837113466, "name": "MTS - Platform Engineer", "location": "Redmond, Washington, United States", "locations": ["Redmond, Washington, United States"], "hot": 0, "department": "Copilot (P0PS)", "business_unit": "Microsoft AI (QIA5)", "t_update": 1760041536, "t_create": 1759861919, "ats_job_id": 1970324837113466, "display_job_id": 1970324837113466, "type": "ATS", "id_locale": "1970324837113466-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\u202fto build systems that have true artificial intelligence\u202facross 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.\u00a0 Microsoft AI (MAI) is seeking experienced Platform Engineers to help build the next wave of capabilities of our personal AI, Copilot. We\u2019re looking for someone who possesses technical prowess, a methodical approach to problem-solving, proficiency in backend technologies, and a mastery of templating to 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. The right candidate enjoys building world-class consumer experiences and products in a fast-paced environment. The Platform Engineering team is responsible for building APIs that support our work in finetuning and deploying the core experience of Copilot, while collaborating with our Product Management, Design and AI Research teams.\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 By applying to this U.S. Redmond, WA position, you are required to be local to the Seattle area and in office 3 days a week \ufeffStarting 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. 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\u2019s degree in computer science, or related technical discipline AND 6+ years technical engineering experience building web applications with coding in languages including, but not limited to, Python, C#, C++, Rust, Java\u00a0 OR equivalent experience.\u00a0 6+ years' experience building scalable services on top of public cloud infrastructure like Azure, AWS, or GCP. Extensive use datastores like RDBMS, key-value stores, etc.\u00a0 6+ years' experience building distributed systems at scale and extensive systems knowledge that spans bare-metal hosts to containers to networking.\u00a0\u00a0 Experience working with AI platforms, frameworks, and APIs. Experience using Machine Learning frameworks, including experience using, deploying, and scaling language learning models, either personally or professionally.\u00a0\u00a0 Ability to identify, analyze, and resolve complex technical issues, ensuring optimal performance, scalability, and user experience. Dedication to writing clean, maintainable, and well-documented code with a focus on application quality, performance, and security. Demonstrated interpersonal skills and ability to work closely with cross-functional teams, including product managers, designers, and other engineers. Ability to clearly communicate complex technical concepts to both technical and non-technical stakeholders. Passion for learning new technologies and staying up to date with industry trends, best practices, and emerging technologies in web development and AI. Ability to work in a fast-paced environment, manage multiple priorities, and adapt to changing requirements and deadlines. Proven ability to collaborate and contribute to a positive, inclusive work environment, fostering knowledge sharing and growth within the team. Responsibilities Build secure and performant AI Platform services that power Copilot.\u00a0 Work collaboratively with other Platform, infrastructure, application engineers as well as AI Researchers to build next generation AI products and services.\u00a0 Ship high-quality, well-tested, secure, and maintainable code.\u00a0\u00a0 Find a path to get things done despite roadblocks to get your work into the hands of users quickly and iteratively.\u00a0\u00a0 Enjoy working in a fast-paced, design-driven, product development cycle.\u00a0 Embody our\u202f Culture and\u202f Values . 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. 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Our vision is bold and broad - to build systems that have true artificial intelligence across agents, applications, services, and infrastructure.\u00a0It\u2019s\u00a0also inclusive: we aim to make AI accessible to all - consumers, businesses, developers - so that everyone can realize its benefits.\u00a0\u00a0 Microsoft AI (MAI) is seeking an experienced Technical Program Manager to help build Copilot memory and personalization - AI that remembers, evolves, and grows with each user.\u00a0You\u2019ll\u00a0work in a highly collaborative, fast-paced environment to develop systems that deepen memory with every interaction, personalize experiences to reflect each user\u2019s unique style and goals, and make interactions feel more like working with a trusted partner than using a tool.\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. 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. By applying to this\u202frole based in\u202fU.S. Mountain View, CA, you\u202fare required to\u202fbe local to one of these areas and be in office\u00a04\u00a0days a week.\u00a0\u00a0\u00a0 Responsibilities Program Ownership &amp; Execution :\u00a0Drive end-to-end program management for Copilot Memory &amp; Personalization initiatives, including planning, execution, risk tracking, and delivery.\u00a0 Cross-Functional Alignment :\u00a0Partner with engineering, product, privacy/compliance, and design teams to\u00a0align on\u00a0program goals, milestones, and deliverables. Ensure dependencies are well-managed\u00a0and blockers are removed quickly.\u00a0 Roadmap &amp; Planning: \u00a0Own program roadmaps for Memory and Personalization, ensuring priorities are clear, aligned with company goals, and sequenced for maximum impact. Lead cycle and release planning processes.\u00a0 Evaluation &amp; Metrics :\u00a0Define success criteria and evaluation frameworks in collaboration with engineering and data science. Track progress with dashboards and metrics (e.g., memory coverage, latency, compliance readiness).\u00a0 Privacy &amp; Compliance Readiness :\u00a0Partner closely with\u00a0stakeholders\u00a0to ensure all Memory &amp; Personalization features meet regulatory and compliance requirements (e.g., opt-out flows, data-type tagging, and DSA obligations).\u00a0 Process &amp; Efficiency :\u00a0Improve execution efficiency by driving consistent processes for experiment tracking, flighting, and quality evaluation across squads.\u00a0Identify\u00a0gaps and propose solutions. 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