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": 1970324837015168, "name": "Member of Technical Staff \u2013 AI Product - Data 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": 1760666916, "t_create": 1746635792, "ats_job_id": 1970324837015168, "display_job_id": 1970324837015168, "type": "ATS", "id_locale": "1970324837015168-en", "job_description": "Azure Tech Stack Familiarity: Demonstrate proficiency with tools and services within the Azure ecosystem, such as Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Azure Stream Analytics, and Azure Machine Learning. Data Extraction and Transformation: Build code to extract raw data, validate its quality, and transform it for downstream compatibility Pipeline Development: Design, develop, and maintain scalable data pipelines for efficient large-scale dataset integration using appropriate technologies. Pipeline Integration: Integrate real-time and batch-processing pipelines to improve workflows and enhance user experience. ML Collaboration: Collaborate with machine learning engineers to support data preparation, feature engineering, and model evaluation for machine learning models. DS Collaboration: Work with data scientists to identify opportunities, conduct analyses, and drive data-driven decisions for AI initiatives. Feature Storage Management: Manage feature storage systems and develop real-time streaming pipelines for low-latency data processing, using tools like PySpark or similar. Workflow Optimization: Optimize workflows to ensure seamless integration and accessibility of data. Infrastructure Performance: Implement performance monitoring, troubleshoot issues, and develop scalable solutions to ensure reliability. Bachelor'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 work OR Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 3+ years experience in business analytics, data science, software development, data modeling or data engineering work 3+ years of experience shipping product at scale Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 10+ years experience in business analytics, data science, software development, data modeling, or data engineering work OR Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 8+ years experience in business analytics, data science, software development, data modeling or data engineering work OR equivalent experience.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837015168", "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": 1970324837030267, "name": "Director of Communications - Copilot", "location": "Mountain View, CA, USA", "locations": ["Mountain View, CA, USA"], "hot": 0, "department": "Copilot (P0PS)", "business_unit": "Microsoft AI (QIA5)", "t_update": 1761444409, "t_create": 1754909639, "ats_job_id": 1970324837030267, "display_job_id": 1970324837030267, "type": "ATS", "id_locale": "1970324837030267-en", "job_description": "Own and drive the internal narrative and executive communications for the CVPs of Copilot Product and Engineering including org-wide updates, vision memos, All Hands materials, and internal storytelling that builds trust, drives clarity, and energizes the organization. Bring familiarity and passion around AI product environments, leveraging your experience in fast-paced, product-driven organizations to shape messaging that resonates with technical teams and reflects a nuanced understanding of AI innovation, especially around Copilot. Shape and increase awareness of the executive voice, ensuring messaging is authentic, strategic, and scalable across internal and external channels. Manage design resources to deliver polished, on-brand communications at speed. Track impact and perception, using feedback loops and metrics to refine messaging and influence narrative direction. Own the comms calendar and cadence proactively manage content pipelines, key milestones, and event deliverables with precision and foresight. Bachelor's Degree in Business, Marketing, Communications, Finance, or related field AND 6+ years Communications, Marketing Operations, Field Operations, Program Management, Project Management, or related experience 5+ years of experience building formal internal communication plans 4+ years of experience developing messaging for senior executives in environments undergoing organizational change and/or product evolution. 2+ years of experience in a product developement environment. Master's Degree in Business, Marketing, Communications, Finance, or related field AND 8+ years Communications, Marketing Operations, Field Operations, Program Management, Project Management, or related experience 10+ years in Communications, Marketing Operations, Field Operations, Program Management, Project Management, or related experience Familiarity and passion for AI products\u2014especially Copilot or similar tools\u2014and the ability to translate technical concepts into compelling narratives. Demonstrated success operating in startup-like environments with shifting priorities, cross-functional collaboration, and high visibility. Experience exercising strategic judgment and scenario planning skills, including risk mitigation and stakeholder alignment. High emotional intelligence and the ability to influence leaders, push back diplomatically, and coach executive voice. Passion for storytelling as a lever for cultural cohesion, leadership maturity, and organizational enablement.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837030267", "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": 1970324837133660, "name": "Member of Technical Staff, Applied Scientist", "location": "Mountain View, California, United States", "locations": ["Mountain View, California, United States"], "hot": 0, "department": "Copilot (P0PS)", "business_unit": "Microsoft AI (QIA5)", "t_update": 1760654204, "t_create": 1760549556, "ats_job_id": 1970324837133660, "display_job_id": 1970324837133660, "type": "ATS", "id_locale": "1970324837133660-en", "job_description": "Overview:  We\u2019re seeking a Member of Technical Staff \u2013 Applied Scientist to help design and build advanced Copilot features such as Deep Research and Web artifact generation. This role demands deep expertise in large language models (LLMs) and a strong architectural mindset to shape complex, user-facing systems. You\u2019ll contribute to the evolution of Copilot by developing scalable methods for evaluating feature performance, designing data collection pipelines for prompt engineering and fine-tuning, and training content classifiers that support intelligent, context-aware interactions.  The ideal candidate brings hands-on experience in building applications powered by LLMs, along with a solid foundation in data science and machine learning. You\u2019re a proactive collaborator who communicates clearly, thrives in fast-paced environments, and takes ownership of delivering world-class consumer experiences. If you enjoy pushing the boundaries of AI-driven products and working across disciplines to create intuitive, high-impact solutions, we\u2019d love to hear from you.  Microsoft\u2019s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond By applying to this U.S. Mountain View, CA position, you are required to be local to the San Francisco area and in office 3 days a week.  Starting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location. This expectation is subject to local law and may vary by jurisdiction. Responsibilities: Architect and implement advanced Copilot features such as Deep Research and Web artifact generation Lead evaluation efforts of models deployed within Copilot, ensuring performance aligns with product goals Design scalable systems that leverage large language models (LLMs) to deliver intelligent, user-facing experiences Develop evaluation frameworks and metrics to assess feature performance and user impact Conduct thorough reviews of data analysis and techniques to identify gaps and areas for re-examination Build data collection pipelines to support prompt engineering and fine-tuning of LLMs Track advances in industry and academia, identify relevant state-of-the-art research, and adapt algorithms to drive innovation Train and optimize content classifiers to enable context-aware interactions within Copilot Independently write efficient, readable, and extensible code and model pipelines Contribute to defining the model quality roadmap for Copilot, balancing technical rigor with business and product priorities Collaborate cross-functionally with product, engineering, and research teams to ship high-quality consumer features Commit to a customer-oriented focus by validating customer perspectives, understanding broader context, and serving as a trusted advisor Communicate technical concepts clearly and contribute to team-wide knowledge sharing Take initiative in a fast-paced environment, driving innovation and continuous improvement in AI-powered products Qualifications: Required Qualifications:  Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics predictive analytics, research) OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research) OR equivalent experience. Experience prompting, evaluating, and working with large language models.  Experience writing production-quality Python code.  Preferred Qualifications:  Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research) OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience. Demonstrated interest in Responsible AI.  Applied Sciences IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year.\u00a0There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 - $258,000 per year. Applied Sciences IC5 - The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 per year.\u00a0There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year. Certain roles may be eligible for benefits and other compensation. 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