copilot p0ps jobs in redmond washington united states

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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 Culture and Values. 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, C, C++, C#, Java, JavaScript, or Python 8+ 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. 8+ years' experience building distributed systems at scale and extensive systems knowledge that spans bare-metal hosts to containers to networking. Bachelor's Degree in Computer Science or related technical field AND 12+ 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 10+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. 6+ years people management experience. 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. 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/1970324837005181", "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": 1761071994, "t_create": 1751056107, "ats_job_id": 1970324837018427, "display_job_id": 1970324837018427, "type": "ATS", "id_locale": "1970324837018427-en", "job_description": "In this role, you will: Hire, manage and lead a team of web engineers responsible for the quality and performance of Copilot's 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 Culture and Values. 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 3+ years people management experience. 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. 6+ years people management experience. 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. Thrive in a fast-paced, collaborative environment and are comfortable making progress in ambiguity. Enjoy working closely with cross-functional partners and teammates in an inclusive, curious culture. Have strong opinions about best investments to make in establishing the most delightful and performant web engineering system.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "hybrid", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837018427", "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": 1761842923, "t_create": 1740168774, "ats_job_id": 1970324837008310, "display_job_id": 1970324837008310, "type": "ATS", "id_locale": "1970324837008310-en", "job_description": "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. Bachelor's 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). 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.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "hybrid", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837008310", "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": 1761876870, "t_create": 1755037625, "ats_job_id": 1970324837030422, "display_job_id": 1970324837030422, "type": "ATS", "id_locale": "1970324837030422-en", "job_description": "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. 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. 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. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. This expectation is subject to local law and may vary by jurisdiction. 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. Experience writing production-quality Python, Scala, or Java code for data processing applications. Experience building and scaling experimentation frameworks. Experience with cloud data platforms (Azure, AWS, or GCP) and their data services. Experience with schema management and data governance practices. Experience with real-time data processing and streaming architectures. 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. Demonstrated experience with data quality frameworks and monitoring solutions. Build, maintain, and enhance data ETL pipelines for processing large-scale data with low latency and high throughput to support Copilot operations. Design and maintain high throughput, low latency experimentation reporting pipelines that enable data scientists and product teams to measure model performance and user engagement. Own data quality initiatives including monitoring, alerting, validation, and remediation processes to ensure data integrity across all downstream systems. Implement robust schema management solutions that enable quick and seamless schema evolution without disrupting downstream consumers. Develop and maintain data infrastructure that supports real-time and batch processing requirements for machine learning model training and inference. Collaborate with ML engineers and data scientists to optimize data access patterns and improve pipeline performance for model evaluation workflows. Design scalable data architectures that can handle growing data volumes and evolving business requirements. Implement comprehensive monitoring and observability solutions for data pipelines, including SLA tracking and automated alerting. Partner with cross-functional teams to understand data requirements and translate them into efficient technical solutions.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837030422", "isPrivate": false}, {"id": 1970324837113462, "name": "MTS, Copilot Prompt Engineer", "location": "Redmond, Washington, United States", "locations": ["Redmond, Washington, United States"], "hot": 0, "department": "Copilot (P0PS)", "business_unit": "Microsoft AI (QIA5)", "t_update": 1761876924, "t_create": 1759852471, "ats_job_id": 1970324837113462, "display_job_id": 1970324837113462, "type": "ATS", "id_locale": "1970324837113462-en", "job_description": "Chain-of-thought experience: prompting techniques that guide AI systems through reasoning processes A novel prompting discovery: a really interesting challenge that you've solved in a creative way Scaled implementation: you've shipping prompted systems that work reliably at production scale with diverse user populations Evaluation design: you've built robust testing frameworks to measure AI behavior against goals User-centric approach: Proven understanding of how prompting decisions impact the lived experience of people who interact with AI Effective written communication skills: able to convey complex information clearly, concisely, and effectively for various audiences Comfort with ambiguity in an exponentially growing space Bachelor's Degree in Computer Science, Philosophy, Linguistics, Psychology, Literature, or related discipline AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. 2+ years of experience with large language models. An understanding of conversation design or product design. Familiarity with both quantitative metrics and qualitative assessment methods. Experience with personalization systems that adapt to individual user needs. Adversarial prompting experience or conducted some unhinged experiments. Design & develop prompting techniques for emotional and intellectual use cases Establish frameworks for AI companions to navigate complex social and ethical situations with nuance and care Create evaluations to measure both technical/practical performance and non-deterministic performance like EQ Teach others prompting techniques and ways-of-working to elevate the prompting skill throughout the team Research & implement novel prompting techniques Embody our culture and values.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837113462", "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": 1761876935, "t_create": 1759944413, "ats_job_id": 1970324837113552, "display_job_id": 1970324837113552, "type": "ATS", "id_locale": "1970324837113552-en", "job_description": "In this role, you will: Ship delightful, AI powered experiences that will shape how millions of people will interact with AI in the future Collaborate with AI researchers, product managers, and designers to bring a world-class AI companion to the world Design and build efficient and reusable front-end systems that drive complex web applications Plan and deploy front end infrastructure necessary to build, test, and deploy our products Join a small team of world class product engineers with deep frontend expertise who are obsessed with building beautiful and performant products. Embody our Culture and Values. Bachelor's 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 Bachelor's 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 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 OR equivalent experience. Have 0 to 1 experience with a bias towards shipping and learning, while balancing a high-quality bar. 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. Thrive in a fast-paced, collaborative environment and are comfortable making progress in ambiguity. Enjoy working closely with cross-functional partners 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/1970324837113552", "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": 1761953883, "t_create": 1760036938, "ats_job_id": 1970324837116756, "display_job_id": 1970324837116756, "type": "ATS", "id_locale": "1970324837116756-en", "job_description": "Develop and refine data pipelines and infrastructure to support AI model development for Copilot. Collaborate with research teams to integrate cutting-edge AI advancements into production systems. Design, train, and evaluate machine learning models, ensuring performance optimization and scalability. Work closely with engineering and product teams to ensure AI-driven experiences meet quality and user experience standards. Conduct rigorous data analysis and experimentation, leveraging insights to improve Copilot's intelligence. Overcome obstacles to deliver iterative improvements in AI performance and responsiveness. Stay ahead of the latest innovations in deep learning, reinforcement learning, and generative AI. Embody our Culture and Values. 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) Proven track record of deploying machine learning models in large-scale production environments. 4+ years of experience building data pipelines, training deep learning models, and optimizing AI workflows. 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. 9+ years of experience building data pipelines, training deep learning models, and optimizing AI workflows.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837116756", "isPrivate": false}, {"id": 1970324837085305, "name": "Member of Technical Staff, Platform Engineer - Windows Copilot", "location": "Redmond, Washington, United States", "locations": ["Redmond, Washington, United States"], "hot": 0, "department": "Copilot (P0PS)", "business_unit": "Microsoft AI (QIA5)", "t_update": 1761262178, "t_create": 1758560773, "ats_job_id": 1970324837085305, "display_job_id": 1970324837085305, "type": "ATS", "id_locale": "1970324837085305-en", "job_description": "Overview Microsoft AI (MAI) is seeking experienced Platform\u00a0Engineers to help build the next wave of capabilities for Copilot\u00a0on Windows. We\u2019re\u00a0looking for someone who possesses\u00a0technical prowess, a methodical approach to problem-solving\u00a0and proficiency\u00a0in backend 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\u00a0the power Copilot can bring to Windows, large screens\u00a0and productivity scenarios.\u00a0In this role you will play a critical role in designing, developing, and implementing cutting-edge\u00a0solutions while collaborating with Platform, Product Management, Design and Research teams.\u00a0 Our newly formed organization, MAI, is dedicated to advancing Copilot and other consumer AI products and research. The team\u202fis responsible for\u202fCopilot, Bing, Edge, and generative AI research.\u202fCome be\u202fa 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 position, you are required to\u00a0be local to the 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 Design and development\u00a0secure and performant Platform services that support Copilot experiences on Windows.\u00a0 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 Overcome obstacles to deliver work quickly and iteratively to users\u00a0 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++, RUST, Java  OR equivalent experience.\u00a0 4+ years' experience building scalable services on top of public cloud infrastructure like Azure, AWS, or GCP  with extensive use of various datastores like RDBMS, key-value stores, etc. 4+ years' experience building distributed systems at scale and  extensive systems knowledge that spans bare-metal hosts (physical server) to containers to networking .\u00a0 Preferred Qualifications 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.\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 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. 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/1970324837085305", "isPrivate": false}, {"id": 1970324837113464, "name": "Member of Technical Staff, Android Engineer", "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": 1762049304, "t_create": 1759854193, "ats_job_id": 1970324837113464, "display_job_id": 1970324837113464, "type": "ATS", "id_locale": "1970324837113464-en", "job_description": "Care deeply about building outstanding consumer-grade mobile applications. Build consumer grade applications for Android. Ship high-quality, well-tested, secure, and maintainable code. Work collaboratively with our Designers, Product Managers, and AI Researchers to take ambiguous projects and mold them into amazing experiences. 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 developing mobile applications for Android platforms with coding in languages including, but not limited to, Kotlin, or Java OR equivalent experience. Working knowledge of mobile application architecture, design patterns, and UI/UX principles. Contributions to open-source projects. Experience building Android applications from scratch. Demonstrated written and verbal communication skills with the ability to work closely with cross-functional teams, including product managers, designers, and other engineers. Passion for learning new technologies and staying up to date with industry trends, best practices, and emerging technologies in mobile development and AI. 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