copilot p0ps jobs in redmond washington united states

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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": 1970324837015568, "name": "Member of Technical Staff \u2013 Client Engineering", "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": 1757440735, "t_create": 1747089845, "ats_job_id": 1970324837015568, "display_job_id": 1970324837015568, "type": "ATS", "id_locale": "1970324837015568-en", "job_description": "Overview Microsoft AI (MAI) is seeking experienced client engineers to help build the next wave of capabilities for Copilot. We\u2019re looking for  someone  who possesses technical prowess, a methodical approach to problem-solving and proficiency in client technologies. The right candidate enjoys building world-class consumer experiences and products in a fast-paced environment. The Windows Copilot team is responsible for creating experiences that demonstrate the power Copilot can bring to Windows, large screens and productivity scenarios. In this role you will play a critical role in designing, developing, and implementing cutting-edge solutions while collaborating with Platform, Product Management, Design and Research teams.\u00a0\u00a0\u00a0 Our newly formed organization, MAI, is dedicated to advancing Copilot and other consumer AI products and research. The team\u00a0is responsible for\u00a0Copilot, Bing, Edge, and generative AI research.\u00a0Come be\u00a0a part of the team shaping the future personal computing.\u00a0 Microsoft\u2019s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.\u00a0 By applying to this U.S. Redmond, WA OR Mountain View, CA\u00a0position, you are required to be local to the Seattle OR San Francisco area in office 3 days a week. \ufeff Starting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location. This expectation is subject to local law and may vary by jurisdiction. Responsibilities Design and develop client applications and components to support Copilot experiences. Work collaboratively with platform, infrastructure, application engineers and researchers to build next generation AI products and services.\u00a0 Ship high-quality, well-tested, secure, and maintainable code.\u00a0\u00a0 Overcome obstacles to deliver work quickly and iteratively to users Enjoy working in a fast-paced, design-driven, product development cycle.\u00a0 Embody our\u202f Culture and\u202f Values .\u00a0 Qualifications Required Qualifications: Bachelor\u2019s degree in computer science, or related technical discipline AND 4+ years technical engineering experience building applications including, but not limited to, Python, C#, C++, .NET, XAML\u00a0 OR equivalent experience.\u00a0 Proven track record of delivering high-quality software solutions in a fast-paced multidisciplinary environment\u00a0 4+ years' experience building secure, performant and well architected applications that demonstrate a focus on data driven iteration and improvement.\u00a0 Preferred Qualifications: Bachelor\u2019s degree in computer science, or related technical discipline AND 6+ years technical engineering experience building applications including, but not limited to, Python, C#, C++, .NET, XAML, Kotlin, Swift OR equivalent experience.\u00a0\u00a0 Experience working with Windows debugging tools such as WinDBG, Sysinternals, etc.\u00a0 Experience working with AI platforms, frameworks, and APIs.\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 application quality, performance, and security.\u00a0 Demonstrated interpersonal skills and ability to work closely with cross-functional teams, including product managers, designers, and other engineers, while clearly communicating 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, while collaborating and contributing to a positive, inclusive work environment that fosters knowledge sharing and growth within the team. Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $117,200 - $229,200 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $153,600 - $250,200 per year. Software Engineering IC5 - The typical base pay range for this role across the U.S. is USD $137,600 - $267,000 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $180,400 - $294,000 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay\u00a0\u00a0\u00a0 Microsoft will accept applications and processes offers for these roles on an ongoing basis. #MicrosoftAI #Copilot", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837015568", "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. 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 TypeScript, Python, C, C++, C#, Java 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 TypeScript, Python, C, C++, C#, Java OR equivalent experience. 4+ years of experience with Next JS or other modern JavaScript frameworks. 5+ years of experience in software development, with a focus on building tools for data collection and/or model evaluation. Demonstrated understanding of data structures, algorithms, and software design principles. Demonstrated ability to collaborate effectively with cross-functional teams, including product management, AI research, and engineering. Familiarity with data science and machine learning concepts, especially as they relate to model evaluation and data collection.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837017711", "isPrivate": false}, {"id": 1970324837030422, "name": "MTS - Data Engineering  ", "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": 1757438190, "t_create": 1755037625, "ats_job_id": 1970324837030422, "display_job_id": 1970324837030422, "type": "ATS", "id_locale": "1970324837030422-en", "job_description": "Overview If you've ever watched a massive data pipeline process billions of records without breaking a sweat, felt genuine satisfaction debugging a business critical schema migration, or gotten excited about shaving milliseconds off pipeline latency then you're in the right spot. We're looking for the best data engineers. Data engineers who have built and scaled data systems that others depend on, who take pride in delivering rock-solid data quality, and who genuinely enjoy the craft of data engineering. If you're the type of person who celebrates when your monitoring dashboards show all green and gets energized by the challenge of making data flow seamlessly across complex systems, this role is for you.\u00a0 Join us to architect and implement the data backbone that powers Copilot for millions of users worldwide. You'll own the full data lifecycle - from building lightning-fast ETL pipelines that handle massive scale to crafting experimentation frameworks that drive product decisions. We need someone who thrives on solving complex data challenges, loves collaborating with brilliant teammates, and gets genuinely excited about building infrastructure that just works. In our fast-paced environment, you'll have the freedom to innovate and the support to build world-class data products that make a real impact.\u00a0 By applying to this position, you are required to be local to the San Francisco area or Redmond area and in office 3 days a week.\u00a0 Microsoft\u2019s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. \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 Build, maintain, and enhance data ETL pipelines for processing large-scale data with low latency and high throughput to support Copilot operations.\u00a0 Design and maintain high throughput, low latency experimentation reporting pipelines that enable data scientists and product teams to measure model performance and user engagement.\u00a0 Own data quality initiatives including monitoring, alerting, validation, and remediation processes to ensure data integrity across all downstream systems.\u00a0 Implement robust schema management solutions that enable quick and seamless schema evolution without disrupting downstream consumers.\u00a0 Develop and maintain data infrastructure that supports real-time and batch processing requirements for machine learning model training and inference.\u00a0 Collaborate with ML engineers and data scientists to optimize data access patterns and improve pipeline performance for model evaluation workflows.\u00a0 Design scalable data architectures that can handle growing data volumes and evolving business requirements.\u00a0 Implement comprehensive monitoring and observability solutions for data pipelines, including SLA tracking and automated alerting.\u00a0 Partner with cross-functional teams to understand data requirements and translate them into efficient technical solutions.\u00a0 Qualifications Required Qualifications Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 4+ years experience in business analytics, data science, software development, data modeling, or data engineering  OR Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 6+ years experience in business analytics, data science, software development, data modeling, or data engineering  OR equivalent experience. Experience building and maintaining production data pipelines at scale using technologies such as Apache Spark, Kafka, or similar distributed processing frameworks.\u00a0 Experience writing production-quality Python, Scala, or Java code for data processing applications.\u00a0 Experience building and scaling experimentation frameworks.\u00a0 Experience with cloud data platforms (Azure, AWS, or GCP) and their data services.\u00a0 Experience with schema management and data governance practices.\u00a0 Preferred Qualifications Experience with real-time data processing and streaming architectures.\u00a0 Experience with data orchestration frameworks such as Airflow, Prefect, Dagster or similar workflow management systems. Experience with containerization technologies (Docker, Kubernetes) for data pipeline deployment.\u00a0 Demonstrated experience with data quality frameworks and monitoring solutions.\u00a0 Data 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. Data Engineering IC6 - The typical base pay range for this role across the U.S. is USD $163,000 - $296,400 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $220,800 - $331,200 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/1970324837030422", "isPrivate": false}, {"id": 1970324837008310, "name": "Principal Growth Product Manager - Copilot", "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": 1757442396, "t_create": 1740168774, "ats_job_id": 1970324837008310, "display_job_id": 1970324837008310, "type": "ATS", "id_locale": "1970324837008310-en", "job_description": "Overview At Microsoft AI, we are pushing the boundaries of technology. We are creating unique, beautiful, and powerful products that will change lives. A small, friendly, fast-moving team, we support each other to do the best work of our lives, always looking to break new ground, fast. We are proud of what we build and 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 a real and immediate impact. It\u2019s a time of huge change in the AI landscape, and this role will put you right in the heart of it. Our newly formed organization, Microsoft AI (MAI), focuses on Copilot and other consumer AI products and research. We combine world-class AI research together with top notch design and product craft. The wider team is responsible for Copilot, Bing, Edge, and generative AI research, while the Mobile Engineering team is responsible for leading and building the mobile experience of Copilot on iOS and Android, collaborating closely with our Product Management, Design, and AI Research teams. 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 Mountain View, CA, U.S. position, you are required to be local to the San Francisco area and in the office 3 days a week. \ufeff Starting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location. This expectation is subject to local law and may vary by jurisdiction. Responsibilities Develop the product strategy and vision for Copilot consumer offerings across multiple surfaces and capabilities. Create zero to one products that transform cutting-edge AI capabilities into world-class applications of LLM. Own a product area and be responsible for understanding user needs and behaviors, defining product requirements, and managing end to end product development, launches, and iterations. Establish clear goals and performance metrics, design experiments, and measure success through data analysis and research insights. Spearhead complex cross-functional initiatives with effective stakeholder management, communication, and storytelling. 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, collaborative product development environment. Embody our  Culture  and  Values .\u00a0 Qualifications Required Qualifications:\u00a0 Bachelor\u2019s Degree AND 8+ years experience in product management OR equivalent experience. Track record of leading product teams building 0 to 1 consumer products, finding product market, and achieving scale. Demonstrated success building consumer products that leverage Machine Learning or Large Language Models (LLMs).\u00a0 Preferred Qualifications: Experience as a startup founder is a plus. Proven track record as a product manager with firsthand experience prompting, evaluating, and deploying LLM applications into production. Have experience in working side-by-side with AI researchers and engineers. Experienced in concurrently driving multiple high stakes, time sensitive projects that span teams and time zones. Ability to work in a fast-paced environment and adapt to changing requirements and deadlines. Demonstrate a proactive attitude and enthusiasm for exploring new methods and technologies. Visionary but pragmatic. You can develop a vision and also lay out clear steps to get there. Working knowledge of SQL and coding skills (Python, Javascript) is a plus. Product  Management IC5 - The typical base pay range for this role across the U.S. is USD $137,600 - $267,000 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $180,400 - $294,000 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay\u00a0\u00a0\u00a0 Microsoft will accept applications and processes offers for these roles on an ongoing basis. #copilot #MicrosoftAI", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "hybrid", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837008310", "isPrivate": false}, {"id": 1970324837018427, "name": "Member of Technical Staff - Copilot AI Web Engineering Manager", "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": 1757439760, "t_create": 1751056107, "ats_job_id": 1970324837018427, "display_job_id": 1970324837018427, "type": "ATS", "id_locale": "1970324837018427-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 Member of Technical Staff - Copilot AI Web Engineering Manager 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's 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. 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.\u202f By applying to this U.S.  Mountain View, CA or Redmond, WA position, you are required to be local to the San Francisco or Seattle 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 In this role, you will: Hire, manage and lead a team of web engineers responsible for the quality and performance of Copilot\u2019s web products Ship delightful, AI powered experiences that will shape how millions of people will interact with AI in the future Collaborate with Eng, Design and Product leadership to prioritize features and deliver a world-class AI companion to the world Design and build a performant front-end infrastructure that drives multiple complex web applications Join a small team of world class product engineers with deep frontend expertise who are obsessed with building beautiful and performant products. Embody our\u202f Culture\u202f and\u202f Values .\u202f Qualifications Required Qualifications: Bachelor's Degree in Computer Science, or related technical discipline AND 6+ years technical engineering experience with web technologies including, but not limited to, Typescript and React OR equivalent experience.\u202f 3+ years people management experience.\u202f Preferred Qualifications: Bachelor's Degree in Computer Science, or related technical discipline AND 8+ years technical engineering experience with coding in languages including, but not limited to, Typescript and React OR equivalent experience.\u202f 6+ years people management experience.\u202f 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.\u202f Thrive in a fast-paced, collaborative environment and are comfortable making progress in ambiguity.\u202f Enjoy working closely with cross-functional partners and teammates in an inclusive, curious culture.\u202f Have strong opinions about best investments to make in establishing the most delightful and performant web engineering system. Software Engineering M5 - 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. Software Engineering M6 - The typical base pay range for this role across the U.S. is USD $163,000 - $296,400 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 $220,800 - $331,200 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. #microsoftai #copilot", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837018427", "isPrivate": false}, {"id": 1970324837005303, "name": "Member of Technical Staff, Platform Engineer", "location": "Redmond, Washington, United States", "locations": ["Redmond, Washington, United States"], "hot": 0, "department": "Copilot (P0PS)", "business_unit": "Microsoft AI (QIA5)", "t_update": 1757442888, "t_create": 1737571387, "ats_job_id": 1970324837005303, "display_job_id": 1970324837005303, "type": "ATS", "id_locale": "1970324837005303-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 \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. 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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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. Mountain View, CA position, you are required to be local to the San Francisco area and in office 3 days a week. \ufeff Starting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location. This expectation is subject to local law and may vary by jurisdiction. Responsibilities 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 . 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Proven ability to collaborate and contribute to a positive, inclusive work environment, fostering knowledge sharing and growth within the team. Software Engineering M6 - The typical base pay range for this role across the U.S. is USD $161,600 - $286,200 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 $209,600 - $314,400 per year. Certain roles may be eligible for benefits and other compensation. 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