copilot p0ps jobs in mountain view california united states

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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 At Microsoft AI, AI is part of everything we do. Our AI Product Acceleration team is dedicated to enabling rapid development and deployment of AI across our products. We collaborate closely with the top AI engineers in the world, working at the bleeding edge of engineering and AI research.\u00a0 If you are passionate about AI, eager to work at the forefront of technology, and want to be part of a team that empowers all other teams at Microsoft Copilot to build AI products quickly and seamlessly - join us as an AI Platform Engineer!\u00a0\u00a0 By applying to this U.S. Mountain View CA position, you are required to be local to the Mountain View CA 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 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.\u00a0 Design, develop, and maintain platform-level software solutions.\u00a0 Collaborate with cross-functional teams to integrate AI capabilities into various products.\u00a0 Ensure the reliability, scalability, and performance of platform components.\u00a0 Stay updated with the latest advancements in AI and engineering.\u00a0 Work alongside the technical staff and AI researchers to improve model development flows.\u00a0 Embody our  Culture  and  Values .\u00a0 Qualifications Required Qualifications Bachelor\u2019s 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. Preferred Qualifications Bachelor\u2019s degree in computer science, or related technical discipline AND 6+ years technical engineering experience building web services with coding in\u202flanguages including, but not limited to: Python, Golang, Java/Scala, Rust\u00a0 6+ years' experience in building and releasing production software at the platform level.\u00a0 Deep experience with all of the following languages: Golang, Java/Scala, Typescript (React/Next.js)\u00a0 Experience in model pretraining, post-training, evaluation, and inference\u00a0 Experience using Machine Learning frameworks, including experience using, deploying, and\u202fscaling language learning models, either personally or professionally.\u00a0 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\u202fchanging requirements and deadlines. 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/1970324837005425", "isPrivate": false}, {"id": 1970324837009674, "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": 1757729323, "t_create": 1741637564, "ats_job_id": 1970324837009674, "display_job_id": 1970324837009674, "type": "ATS", "id_locale": "1970324837009674-en", "job_description": "Work on building new AI features that enhance copilot. 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": 1970324837026943, "name": "Member of Technical Staff, High Performance Computing 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": 1757960848, "t_create": 1753280545, "ats_job_id": 1970324837026943, "display_job_id": 1970324837026943, "type": "ATS", "id_locale": "1970324837026943-en", "job_description": "Overview As Microsoft AI we are pushing the boundaries of technology.\u00a0 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. We are seeking experienced High Performance Computing Engineers to join our team and contribute to the evolution of our personal AI, Copilot! This role offers the unique opportunity to work on some of the largest scale supercomputers in the world, a rare chance to operate at such a significant scale.  Our team is at the forefront of developing APIs that enhance our ability to fine-tune and deploy Copilot's core functionalities, in partnership with our Product Management, Design, and AI Research teams. The Member of Technical Staff, High Performance Computing Engineer  will bring a wealth of positive energy, empathy, and kindness, coupled with a track record of effectiveness. You'll be proactive, relishing the challenge of crafting top-tier consumer experiences and products swiftly and efficiently.  Our newly formed organization, Microsoft AI, is dedicated to advancing Copilot and other consumer AI products and research. The team is responsible for Copilot, Bing, Edge, and generative AI research. Come be a part of the team shaping the future personal computing. 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 Mountain View, CA position, you are required to be local to the San Francisco area and in office 3 days a week.\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 Build secure and performant AI Platform services that power Copilot. Work collaboratively with other Platform, infrastructure, application engineers as well as AI Researchers 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\u202f Culture\u202f and\u202f Values .\u00a0 Required/Minimum Qualifications: Bachelor\u2019s degree in computer science, or related technical discipline AND 6+ years technical engineering experience building web services with coding in\u00a0languages including, but not limited to, Python, C#, C++, Rust, Java OR equivalent experience. 6+ years of experience working with high-scale training clusters (ex. working with frameworks/tools such as nvidia InfiniBand clusters, SLURM, Kubernetes, Ray, etc.) 6+ years' experience building scalable services on top of public cloud infrastructure like Azure, AWS, or GCP. Preferred Qualifications: Experience with LLM training clusters.\u00a0 Experience working with AI platforms, frameworks, and APIs. Experience using Machine Learning frameworks, including experience using, deploying, and\u00a0scaling language learning models, either personally or professionally. Ability to identify, analyze, and resolve complex technical issues, ensuring optimal\u00a0performance, scalability, and user experience. Dedication to writing clean, maintainable, and well-documented code with a focus on\u00a0application 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\u00a0practices, and emerging technologies in web development and AI. Ability to work in a fast-paced environment, manage multiple priorities, and adapt to\u00a0changing requirements and deadlines. Proven ability to collaborate and contribute to a positive, inclusive work environment, fostering knowledge sharing and growth within the team. Software Engineering IC5 - The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 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 $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/1970324837026943", "isPrivate": false}, {"id": 1970324837017862, "name": "Member of Technical Staff \u2013 Backend Engineer, Copilot Memory and Personalization", "location": "Mountain View, California, United States", "locations": ["Mountain View, California, United States"], "hot": 0, "department": "Copilot (P0PS)", "business_unit": "Microsoft AI (QIA5)", "t_update": 1757965352, "t_create": 1750350880, "ats_job_id": 1970324837017862, "display_job_id": 1970324837017862, "type": "ATS", "id_locale": "1970324837017862-en", "job_description": "Design and build large-scale Copilot memory and personalization systems leveraging search, embeddings, retrieval, ranking, and Retrieval-Augmented Generation (RAG). Apply subject-matter expertise in cross-product features, collaborating with appropriate stakeholders to drive project plans, release plans, and deliverables across multiple groups. Hold accountability as a Designated Responsible Individual (DRI), mentoring engineers across products/solutions, working on-call to monitor system/product/service for degradation, downtime, or interruptions. Proactively seek out new knowledge and adapt to new trends, technical solutions, and patterns that improve the availability, reliability, efficiency, observability, and performance of products while also driving consistency in monitoring and operations at scale and share knowledge with other engineers. Enjoy working in a fast-paced, design-driven, product development cycle. Navigate ambiguity and clear roadblocks to deliver solutions quickly and iteratively, ensuring they reach users effectively. Embody our culture and values 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. 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. Thrive in a fast-paced, collaborative environment and are comfortable making progress in ambiguity. Experience building and deploying machine learning or large language model (LLM) applications at scale. Experience designing and implementing large-scale embedding, retrieval, and ranking systems.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837017862", "isPrivate": false}, {"id": 1970324837028535, "name": "Member of Technical Staff, Technical Program Manager", "location": "Redmond, Washington, United States", "locations": ["Redmond, Washington, United States", "Mountain View, CA, USA"], "hot": 0, "department": "Copilot (P0PS)", "business_unit": "Microsoft AI (QIA5)", "t_update": 1757965273, "t_create": 1753480470, "ats_job_id": 1970324837028535, "display_job_id": 1970324837028535, "type": "ATS", "id_locale": "1970324837028535-en", "job_description": "Overview: We are on a mission to create the leading AI experience using the world\u2019s most capable AI frontier models enabling human level intelligence and beyond. Building this experience will require us to have a seamless platform that will spans training and inference across one of the world\u2019s most foremost GPU clusters, pushing the boundaries of scale, performance, and reliability. The AI Product Acceleration team at Microsoft AI needs to track closely all aspects of infrastructure including cluster acquisition, capacity deployment, large scale GPU buildout, high-speed fabric buildout and validation, benchmarking, and performance optimizations to support and accelerate our model pre-training, post-training fine-tuning, and inferencing 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. We are looking for a Member of Technical Staff, Technical Program Manager who would be the driving force behind all the activities mentioned above, track and manage the priorities across the various engineering teams delivering both hardware capacity and software components for pretraining. The individual should be excited and be proud about contributing to the next generation of systems that will transform the field. We are looking for candidates who:  Are passionate about managing high stakes time-sensitive large-scale programs Are keenly aware and able to manage timelines and schedules of mission critical cluster hardware, software and services  Have experience in navigating the timelines of datacenter capacity deploying thousands of GPUs and enable large-scale AI model training or inference clusters Will thrive in a highly collaborative, fast-paced environment  Have a high degree of craftsmanship and pay close attention to details  Demonstrate a proactive attitude and enthusiasm for exploring new methods and technologies  \ufeffEffectively manage multiple responsibilities and can adjust to shifting priorities.\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. By applying to this U.S. Redmond, WA (preferred) OR Mountain View, CA position, you are required to be local to the Seattle OR San Francisco 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 :\u00a0 Deeply understand, track and manage the timelines of datacenter construction and bring-up. Deeply understand, track and manage node, rack and cluster validation processes. Hold execution-focused meetings with various stake holders to accelerate GPU delivery timelines. Track and manage the capacity deployment, validation and benchmarking of AI supercomputers.  Collaborate with the product team and other engineers and researchers across Microsoft and other vendors to identify gaps and drive timelines towards resolutions and mitigations. Working with a cross-disciplined crew across design, research, engineering, and data analysis to deliver a high-quality product and evaluate success towards business goals.  Embody our  culture  and  values . Qualifications: Required Qualifications: Bachelor's 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. 1+ yrs of tracking and managing capacity deployment, validation, and benchmarking of GPU allocations for AI inferencing or training. Preferred Qualifications:\u00a0 Bachelor's Degree AND 6+ years experience in engineering, product/technical program management, data analysis, or product development OR equivalent experience. 6+ years experience managing cross-functional and/or cross-team projects. 1+ year(s) experience reading and/or writing code (e.g., sample documentation, product demos). Technical Program Management 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. 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. #Copilot #MicrosoftAI\u00a0", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837028535", "isPrivate": false}, {"id": 1970324837030457, "name": "Chief of Staff \u2013 Copilot Engineering & Product\u00a0", "location": "Mountain View, California, United States", "locations": ["Mountain View, California, United States"], "hot": 0, "department": "Copilot (P0PS)", "business_unit": "Microsoft AI (QIA5)", "t_update": 1757438122, "t_create": 1755109968, "ats_job_id": 1970324837030457, "display_job_id": 1970324837030457, "type": "ATS", "id_locale": "1970324837030457-en", "job_description": "Overview The Chief of Staff for Copilot Engineering and Product is a strategic partner to the leadership team, driving operational excellence, enabling effective decision-making, and fostering a high-performing, inclusive culture. This role is pivotal in aligning cross-functional initiatives, managing business rhythms, and ensuring seamless execution of strategic priorities across engineering and product domains.\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. By applying to this U.S.\u202fMountain View, CA\u202fposition, you are required to be local to the San Francisco area and in office 3 days a week. Responsibilities Partner closely with Copilot Engineering and Product leaders to drive strategic planning, execution, and alignment.\u00a0 Lead and manage business rhythms including leadership meetings, all-hands, and planning cycles.\u00a0 Drive cross-functional initiatives and ensure\u00a0timely\u00a0execution of key priorities.\u00a0 Serve as a trusted advisor and thought partner to leadership, enabling clarity and focus.\u00a0 Manage communications and change management across the organization.\u00a0 Support organizational health efforts, including culture, inclusion, and team effectiveness.\u00a0 Coordinate with finance,\u00a0Human Resources, and other support functions to ensure operational efficiency.\u00a0This includes\u00a0Position Control Number (PCN)\u00a0and\u00a0Headcount (HC)\u00a0management\u00a0\u00a0as well as\u00a0communication\u00a0to hiring managers.\u00a0 Lead special projects and initiatives that span engineering and product teams.\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. Qualifications Required Qualifications Bachelor's Degree in relevant field (e.g., Liberal Arts, Business Administration, Management, Computer Science) AND 8+\u00a0years experience\u00a0in\u00a0financial management, business planning, operations management, strategy, project management, human resources, or business-related roles OR equivalent experience.\u00a0 Proven experience in Chief of Staff, program management, or strategic operations roles within technical or product organizations.\u00a0 Proven\u00a0understanding of engineering and product development processes.\u00a0 Exceptional communication, collaboration, and organizational skills.\u00a0 Ability to\u00a0operate\u00a0in a fast-paced, matrixed environment with multiple stakeholders.\u00a0 Demonstrated ability to lead cross-functional initiatives and drive alignment.\u00a0 Experience with strategic planning, business operations, and executive communications.\u00a0 Passion for technology, innovation, and building inclusive teams.\u00a0 Preferred Qualifications Master of Business Administration Degree in relevant field (e.g., Engineering) Proven experience with excel (spreadsheets)\u00a0 Business Management M6 - The typical base pay range for this role across the U.S. is USD $130,900 - $277,200 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 $165,600 - $303,600 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 for the role until September 30, 2026.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837030457", "isPrivate": false}, {"id": 1970324837018272, "name": "Member of Technical Staff - Engineering Manager, Copilot Memory and Personalization", "location": "Mountain View, California, United States", "locations": ["Mountain View, California, United States"], "hot": 0, "department": "Copilot (P0PS)", "business_unit": "Microsoft AI (QIA5)", "t_update": 1757439919, "t_create": 1750866672, "ats_job_id": 1970324837018272, "display_job_id": 1970324837018272, "type": "ATS", "id_locale": "1970324837018272-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 (MAI) is seeking experienced Backend Engineering Manager to help build Copilot memory and personalization \u2014 AI that remembers, evolves, and grows with each user. You\u2019ll work 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 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 Build and lead a team of backend and machine learning engineers, including driving project planning, prioritization of work, and designing features. Guides teams and leads identification of dependencies and the development of design documents for a product, application, service, or platform. Make hands-on contributions to the codebase and infrastructure. Guide architecture and design efforts by leading discussions, creating proposals and design documents, and ensuring solutions meet business, security, and compliance requirements. Ship AI powered experiences that will shape how millions of people will interact with AI in the future. Drive implementation of features and systems, breaking down long-term goals into clear milestones, aligning with release plans, and ensuring cross-team coordination. Qualifications 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, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. 3+ years of people manager experience. Preferred Qualifications Bachelor's degree in computer science OR related technical field AND 10+ 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 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. Proven experience building large-scale distributed systems and optimizing workloads for efficiency and scalability. Passion for learning new technologies and staying up to date with industry trends, best practices, and emerging technologies in AI. Experience building large-scale ranking algorithms and recommender systems. Software Engineering M5 - 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 M6 - 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 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": "onsite", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837018272", "isPrivate": false}, {"id": 1970324837018262, "name": "Member of Technical Staff, Data Scientist, Copilot Memory and Personalization", "location": "Mountain View, CA, USA", "locations": ["Mountain View, CA, USA"], "hot": 0, "department": "Copilot (P0PS)", "business_unit": "Microsoft AI (QIA5)", "t_update": 1757440019, "t_create": 1750865238, "ats_job_id": 1970324837018262, "display_job_id": 1970324837018262, "type": "ATS", "id_locale": "1970324837018262-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 (MAI) is seeking experienced Data Scientists to help build Copilot memory and personalization \u2014 AI that remembers, evolves, and grows with each user. You\u2019ll work 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 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 you are required to be local to the San Francisco area and in office 3 days a week.\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 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. Stay current on the latest in LLM research on evaluation and prompting. Drive actionable product insights, opportunity analyses, and metric tracking to guide product direction and success. Drive new ways of instrumentation and measurement approach to evaluate new feature performance through experimentation. Design and maintain core data pipelines and conduct hands-on analysis of large-scale telemetry data using advanced algorithms and tools. Articulate insights, storyboard with data and communicate to influence leadership and other key decision makers. Stay current on the latest in LLM research on evaluation and prompting. Enjoy working in a fast-paced, design-driven, product development cycle.\u00a0\u00a0 Qualifications 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. 1+ year customer-facing, project-delivery experience, professional services, and/or consulting experience. Preferred Qualifications Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ 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 7+ 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 10+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience. Experience in designing core data pipelines and conduct hands-on analysis of large-scale telemetry data using advanced algorithms and tools. Experience building or evaluating LLM applications in production. Data Science 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. Data Science 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 #MicrosoftAI", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837018262", "isPrivate": false}, {"id": 1970324837017711, "name": "Member of Technical Staff- Product Evaluation Engineer", "location": "Mountain View, California, United States", "locations": ["Mountain View, California, United States", "Redmond, WA, USA"], "hot": 0, "department": "Copilot (P0PS)", "business_unit": "Microsoft AI (QIA5)", "t_update": 1757470074, "t_create": 1750188311, "ats_job_id": 1970324837017711, "display_job_id": 1970324837017711, "type": "ATS", "id_locale": "1970324837017711-en", "job_description": "Tool Development: Design and implement tools, end to end, using Typescript and Python to streamline data collection and facilitate model evaluation across AI projects. Feature Implementation: Leverage your expertise in JavaScript and its ecosystem, (React JS experience is a must, Next JS experience is a bonus), to develop robust and scalable features for internal tools that enhance the quality and efficiency of data and model evaluation. Collaboration: Work closely with AI researchers, product managers, and engineers to define requirements, scope projects, and deliver high-impact solutions. Data Handling: Build and optimize data pipelines (using Python) for collecting, processing, and analyzing large volumes of data used for training and evaluating AI models. 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 TypeScript, Python, C, C++, C#, Java 4+ years of experience in building and deploying web-based tools or applications. 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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. Our Platform Infrastructure team is responsible for building and scaling the backend platform at the core of Microsoft consumer products, the integrations with our AI models and the tools that our engineers use. 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Responsibilities Design, develop, and maintain performant and secure AI Platform services that power Copilot.\u00a0 Work collaboratively with platform, infrastructure, application engineers, and AI researchers to build next generation AI products and services.\u00a0 Ship high-quality and maintainable code, and ensure the reliability, scalability, and performance of platform components.\u00a0 Find a path to get things done despite roadblocks to get your work into the hands of users quickly and iteratively.\u00a0 Enjoy working in a fast-paced, design-driven, product development cycle.\u00a0 Embody our\u202f Culture\u202f and\u202f Values . Qualifications Required Qualifications: Bachelor\u2019s degree in computer science, or related technical discipline AND 4+ years technical engineering experience building services and products in languages such as Python, C#, C++, Rust, Java. OR equivalent experience.\u00a0 4+ years\u2019 experience building scalable platforms on public cloud infrastructure like Azure, AWS, or GCP with extensive use of technologies like Docker, Kubernetes, nginx, RDBMS, key-value stores, etc.\u00a0 4+ years\u2019 experience in building and releasing production software at the platform level.\u00a0 Solid knowledge of APIs, data flows, systems, and services.\u00a0 Preferred Qualifications: Experience managing high scale, multi-region, production environments on Kubernetes in cloud environments\u00a0 Ability to identify, analyze, and resolve complex technical issues, ensuring optimal performance, scalability, and user experience.\u00a0 Dedication to writing clean, maintainable, and well-documented code with a focus on reliability, security and ease of use.\u00a0 Demonstrated interpersonal skills and ability to work closely with cross-functional teams, including product managers, and other engineers.\u00a0 Ability to clearly communicate complex technical concepts to both technical and non-technical stakeholders.\u00a0 Ability to work in a fast-paced environment, manage multiple priorities, and adapt to changing requirements and deadlines.\u00a0 Passion for learning new technologies and staying up to date with industry trends, best practices, and emerging technologies in web development and AI.\u00a0 Proven ability to collaborate and contribute to a positive, inclusive work environment, fostering knowledge sharing and growth within the team.\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. 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