copilot p0ps jobs in mountain view ca usa

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Build secure and performant AI Platform services that power Copilot. Work collaboratively with other AI Researchers, Platform, infrastructure, application engineers to build next generation AI products and services. Ship high-quality, well-tested, secure, and maintainable code. Find a path to get things done despite roadblocks to get your work into the hands of users quickly and iteratively. Enjoy working in a fast-paced, design-driven, product development cycle. Embody our Culture and Values. Bachelor's degree in computer science, or related technical discipline AND 4+ years technical engineering experience building customer-facing applications/products with coding in languages including, but not limited to C#, Python, Java, Golang OR equivalent experience. Experience leveraging generative AI technologies to develop innovative and user-focused product features. 4+ years' experience building APIs and creating pipelines for large-scale products 4+ years' experience building scalable services on top of public cloud infrastructure like Azure, AWS, or GCP. Extensive use datastores like RDBMS, key-value stores, etc. Experience using Machine Learning frameworks, including experience using, deploying, and scaling language learning models, either personally or professionally. Ability to identify, analyze, and resolve complex technical issues, ensuring optimal performance, scalability, and user experience. Dedication to writing clean, maintainable, and well-documented code with a focus on application quality, performance, and security. Demonstrated interpersonal skills and ability to work closely with cross-functional teams, including product managers, designers, and other engineers. Ability to clearly communicate complex technical concepts to both technical and non-technical stakeholders. Passion for learning new technologies and staying up to date with industry trends, best practices, and emerging technologies in web development and AI. Ability to work in a fast-paced environment, manage multiple priorities, and adapt to changing requirements and deadlines. Proven ability to collaborate and contribute to a positive, inclusive work environment, fostering knowledge sharing and growth within the team.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837009674", "isPrivate": false}, {"id": 1970324837005425, "name": "Member of Technical Staff, AI Platform Engineer", "location": "Mountain View, California, United States", "locations": ["Mountain View, California, United States"], "hot": 1, "department": "Copilot (P0PS)", "business_unit": "Microsoft AI (QIA5)", "t_update": 1762368319, "t_create": 1737648765, "ats_job_id": 1970324837005425, "display_job_id": 1970324837005425, "type": "ATS", "id_locale": "1970324837005425-en", "job_description": "Overview As Microsoft continues to push the boundaries of AI, we are on the lookout for passionate\u202findividuals to work with us on the most interesting and challenging AI questions of our time. Our vision is bold and broad \u2014 to build systems that have true artificial intelligence across agents, applications, services, and infrastructure. It\u2019s also inclusive: we aim to make AI accessible to all \u2014 consumers, businesses, developers \u2014 so that everyone can realize its benefits.\u00a0 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. 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": 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": 1760653486, "t_create": 1753280545, "ats_job_id": 1970324837026943, "display_job_id": 1970324837026943, "type": "ATS", "id_locale": "1970324837026943-en", "job_description": "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 Culture and Values. Bachelor's degree in computer science, or related technical discipline AND 6+ years technical engineering experience building web services with coding in languages including, but not limited to, Python, 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. Experience with LLM training clusters. 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/1970324837026943", "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": 1759716603, "t_create": 1755109968, "ats_job_id": 1970324837030457, "display_job_id": 1970324837030457, "type": "ATS", "id_locale": "1970324837030457-en", "job_description": "Partner closely with Copilot Engineering and Product leaders to drive strategic planning, execution, and alignment. Lead and manage business rhythms including leadership meetings, all-hands, and planning cycles. Drive cross-functional initiatives and ensure timely execution of key priorities. Serve as a trusted advisor and thought partner to leadership, enabling clarity and focus. Manage communications and change management across the organization. Support organizational health efforts, including culture, inclusion, and team effectiveness. Coordinate with finance, Human Resources, and other support functions to ensure operational efficiency. Bachelor's Degree in relevant field (e.g., Liberal Arts, Business Administration, Management, Computer Science) AND 8+ years experience in financial management, business planning, operations management, strategy, project management, human resources, or business-related roles OR equivalent experience. Proven experience in Chief of Staff, program management, or strategic operations roles within technical or product organizations. Proven understanding of engineering and product development processes. Exceptional communication, collaboration, and organizational skills. Ability to operate in a fast-paced, matrixed environment with multiple stakeholders. Demonstrated ability to lead cross-functional initiatives and drive alignment. Experience with strategic planning, business operations, and executive communications. Passion for technology, innovation, and building inclusive teams. Master of Business Administration Degree in relevant field (e.g., Engineering) Proven experience with excel (spreadsheets)", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837030457", "isPrivate": false}, {"id": 1970324837008035, "name": "Member of Technical Staff - Growth Web 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": 1758679725, "t_create": 1739976506, "ats_job_id": 1970324837008035, "display_job_id": 1970324837008035, "type": "ATS", "id_locale": "1970324837008035-en", "job_description": "Care deeply about building outstanding consumer-grade web applications. Build consumer grade applications for web. Ship high-quality, well-tested, secure, and maintainable code. Work with product managers, data scientists, and marketing to implement strategies that drive user growth, engagement, and retention. This includes optimizing onboarding flows, improving product features, and delivering scalable infrastructure. 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. Data Driven: partner closely with data science teams to analyze user behavior to optimize product features and drive user engagement. Embody our Culture and Values. Bachelor's degree in computer science, or related technical discipline AND 4+ years technical engineering experience developing web applications with coding in languages including, but not limited to, JavaScript, TypeScript, React, CSS, Node.js, app performance profiling OR equivalent experience. Working knowledge of web browser, web protocols, mainstream frameworks, application architecture, design patterns, and UI/UX principles. OR equivalent experience. 4+ years of experience in growth engineering or a growth-oriented role is strongly preferred. Demonstrated success in driving key growth metrics, including acquisition, engagement, and retention. A data-driven engineer who can provide concrete examples of initiatives you've built and shipped. Past growth achievements will be considered during the application process. Contributions to open-source projects. Experience building web applications from scratch. Experience in internationalization and localization, scaling products, applications, and engineering efforts to drive global growth. 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 web development and AI. Proven ability to collaborate and contribute to a positive, inclusive work environment, fostering knowledge sharing and growth within the team.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837008035", "isPrivate": false}, {"id": 1970324837113550, "name": "Member of Technical Staff, MLE", "location": "Mountain View, California, United States", "locations": ["Mountain View, California, United States"], "hot": 0, "department": "Copilot (P0PS)", "business_unit": "Microsoft AI (QIA5)", "t_update": 1761703909, "t_create": 1759942679, "ats_job_id": 1970324837113550, "display_job_id": 1970324837113550, "type": "ATS", "id_locale": "1970324837113550-en", "job_description": "Develop and Deploy Models: Design, develop, and implement machine learning models for high-performance recommendation systems and personalized feeds. Candidates without direct experience in recommendations and ranking are still encouraged to apply if they possess exceptional technical skills in other areas of machine learning. Large Language Model Expertise: Leverage large language models (LLMs) to create scalable, intelligent solutions for content understanding, user engagement, and relevance ranking. Experimentation and Analysis: Drive data-driven experimentation using A/B testing, advanced analytics, and statistical techniques to identify growth opportunities and refine algorithms. Infrastructure Optimization: Develop and optimize pipelines, tools, and infrastructure to support real-time decision-making, personalization, and predictive analytics. Technical Leadership: Mentor team members and foster collaboration within cross-functional teams, including engineers, product managers, and designers. Continuous Innovation: Stay informed on emerging trends in AI and machine learning, and integrate them to drive innovation and improve product offerings. Cross-functional Collaboration: Articulate findings and recommendations to technical and non-technical audiences, influencing decisions across teams and leadership. Embody our Culture and Values. Bachelor's Degree in Computer Science, or related technical discipline AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. 3+ years of experience building and deploying ML models in production environments. Strong coding skills in Python and experience with ML frameworks (e.g., PyTorch, TensorFlow). Familiarity with data processing tools (e.g., Spark, Pandas) and cloud platforms (e.g., Azure, AWS). Experience with classification, recommendation, or personalization systems. Advanced degree (PhD/MS) in Computer Science, Machine Learning, AI, or a related field; or equivalent experience. Proven expertise in building and deploying recommendation systems and personalized feed algorithms at scale. Experience using large language models (LLMs) for machine learning and AI applications. Hands-on experience in growth engineering, driving improvements in user acquisition, engagement, and retention. Hands-on experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn. Expertise in personalization strategies and user behavior modeling. Strong problem-solving skills and the ability to independently design solutions to complex challenges. Excellent communication skills, with the ability to influence technical and non-technical audiences. Ability to work in a fast-paced environment, manage multiple priorities, and adapt to changing requirements and deadlines.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837113550", "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": 1970324837008311, "name": "Principal Product Manager - Consumer Copilot, Productivity", "location": "Mountain View, California, United States", "locations": ["Mountain View, California, United States"], "hot": 0, "department": "Copilot (P0PS)", "business_unit": "Microsoft AI (QIA5)", "t_update": 1761842925, "t_create": 1740169108, "ats_job_id": 1970324837008311, "display_job_id": 1970324837008311, "type": "ATS", "id_locale": "1970324837008311-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, 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 creating design-driven consumer products from concept to launch and finding product market fit. 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": "onsite", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837008311", "isPrivate": false}, {"id": 1970324837027061, "name": "MTS, Platform 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": 1761870261, "t_create": 1753307275, "ats_job_id": 1970324837027061, "display_job_id": 1970324837027061, "type": "ATS", "id_locale": "1970324837027061-en", "job_description": "Design, develop, and maintain performant and secure AI Platform services that power Copilot. Work collaboratively with platform, infrastructure, application engineers, and AI Researchers to build next generation AI products and services. Ship high-quality and maintainable code, and ensure the reliability, scalability, and performance of platform components. 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 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. Experience leveraging generative AI technologies to develop innovative and user-focused product features. 4+ years' experience building APIs, platforms, and 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 working with AI platforms, frameworks, and APIs. 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