copilot p0ps jobs in mountain view california united states

{"domain": "microsoftai.com", "user": "", "isWillingToRelocate": false, "isUserAuthenticated": false, "isUserETXCandidate": false, "isDomainETX": false, "isDomainVeteran": false, "signUpConfig": {}, "getHelpButton": {}, "isCareerPlannerEnabled": false, "enableRememberMeOption": false, "isMyApplicationsEnabled": false, "showVeteranEmployerSignUp": false, "enableUserPreferenceSelection": false, "isUserPreferenceApplied": false, "candidate": {"enc_id": 0, "fullname": "", "firstname": "", "lastname": "", "skills": [], "email": "", "phone": "", "location": "", "filename": null, "starred_positions": [], "resumeUrl": "", "onboardingCompleted": false, "isUserInPcsIjp": false, "linkedinUrl": ""}, "branding": {"advancedSearchOptions": [{"key": "skills", "name": "Skills"}, {"key": "work flex", "name": "Work Site"}, {"key": "profession", "name": "Profession"}, {"key": "role type", "name": "Role Type"}, {"key": "discipline", "name": "Discipline"}, {"key": "location country", "name": "Country"}], "redesignedNuxConfig": {"enabled": false}, "hideJobCart": true, "showUploadResumeModal": 0, "enableTalentNetwork": 1, "show_wizard": 0, "privacy": {"title": "Data Privacy Notice", "logged_out_notifications_text": " ", "text": "Your privacy is important to us. The personal data you provide will be processed by AI to enhance your experience. For more information, please see the <u><a class=\"msft-data-privacy-link\" href=\"http://go.microsoft.com/fwlink/?LinkId=518021\" target=\"_blank\">Microsoft Data Privacy Notice</a></u> and <u><a class=\"msft-data-privacy-link\" href=\"https://aka.ms/MAIHubTransparency\" target=\"_blank\">Transparency FAQ</a></u>.", "button": "I understand", "logged_out_notifications_privacy_policy_checkbox_default_state": true}, "homePageHeroBanner": {"opacity": 1, "image": "https://static.vscdn.net/images/careers/demo/microsoft-ai-sandbox/1731551848::pcsbanner", "title": "Get personalized job recommendations", "hideInMobileView": false}, "navBar": {"color": "#ffffff", "image": "https://static.vscdn.net/images/careers/demo/microsoft-ta2-dev-sandbox/1719948341::1714657312__msft_logo.png", "link": "http://eightfold.ai", "background": "#0346A2", "opacity": 1}, "uploadResumeModal": {"title": "Welcome to {company_name}'s Career Center", "subtitle": "Streamline your search by uploading your resume to be matched with positions that best suit your qualifications.", "disclaimer": "**Uploading a resume is not a formal application for employment**"}, "custom_style": {"css": ".nav-item a { color: #fff !important;} .refer .user-name { color: #fff !important; } .fixed-top { background-color: #000 !important; } .position-job-description .block__field--wide-rich-text { width: inherit !important; } nav.navbar { display: none !important; }\n.msft-accessiblity-link {color: #5c1b86; text-decoration:underline} .msft-data-privacy-link {color: #5c1b86; text-decoration:underline} .position-job-description a { color: #5c1b86 !important; text-decoration:underline !important }"}, "page_image": "", "max_applications_refer": 0, "max_applications_apply": 20, "custom_head_scripts": {"HOME_PAGE_LOAD": "<script>$(\"#pcs-body-container\").removeClass(\"without-hero-image\");\n        $(\"nav.navbar\").hide();\n $('.hero-image').hide();\n $('.language-selection').hide();\n$('.language-selection').css('display', 'none');</script>", "SINGLE_POSITION_PAGE_LOAD": "<script>$(\"#pcs-body-container\").removeClass(\"without-hero-image\");\n        $(\"nav.navbar\").hide();\n $('.hero-image').hide();\n $('.language-selection').hide();\n$('.language-selection').css('display', 'none');</script>"}, "applyButton": {"background": "#5c1b86"}, "customContent": {"positionSections": [{"body": "Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about <a class=\"msft-accessiblity-link\" href=\"https://careers.microsoft.com/v2/global/en/accessibility.html\" target=\"_blank\">requesting accommodations</a>.", "title": ""}]}, "job_insights_display": {"hide": true}, "hide_matched_section": true, "PersonalizationBar": {"hide_find_jobs_button": true}, "custom_html": {"header": "<div id=\"configurable-navbar\"></div>", "footer": "<footer></footer>", "page-footer": "<div></div>"}, "recaptcha_enabled": 1, "companyName": "Microsoft", "showLoggedOutNotificationsPrivacyPolicy": true, "hideEightfoldBranding": false}, "positions": [{"id": 1970324837009674, "name": "Member of Technical Staff AI Platform Engineer", "location": "Mountain View, California, United States", "locations": ["Mountain View, California, United States"], "hot": 1, "department": "Copilot (P0PS)", "business_unit": "Microsoft AI (QIA5)", "t_update": 1751915356, "t_create": 1741637564, "ats_job_id": 1970324837009674, "display_job_id": 1970324837009674, "type": "ATS", "id_locale": "1970324837009674-en", "job_description": "Work on building new AI features that enhance copilot. Build secure and performant AI Platform services that power Copilot. Work collaboratively with other AI Researchers, Platform, infrastructure, application engineers to build next generation AI products and services. Ship high-quality, well-tested, secure, and maintainable code. Find a path to get things done despite roadblocks to get your work into the hands of users quickly and iteratively. Enjoy working in a fast-paced, design-driven, product development cycle. Embody our Culture and Values. Bachelor's degree in computer science, or related technical discipline AND 4+ years technical engineering experience building customer-facing applications/products with coding in languages including, but not limited to C#, Python, Java, Golang OR equivalent experience. Experience leveraging generative AI technologies to develop innovative and user-focused product features. 4+ years' experience building APIs and creating pipelines for large-scale products 4+ years' experience building scalable services on top of public cloud infrastructure like Azure, AWS, or GCP. Extensive use datastores like RDBMS, key-value stores, etc. Experience using Machine Learning frameworks, including experience using, deploying, and scaling language learning models, either personally or professionally. Ability to identify, analyze, and resolve complex technical issues, ensuring optimal performance, scalability, and user experience. Dedication to writing clean, maintainable, and well-documented code with a focus on application quality, performance, and security. Demonstrated interpersonal skills and ability to work closely with cross-functional teams, including product managers, designers, and other engineers. Ability to clearly communicate complex technical concepts to both technical and non-technical stakeholders. Passion for learning new technologies and staying up to date with industry trends, best practices, and emerging technologies in web development and AI. Ability to work in a fast-paced environment, manage multiple priorities, and adapt to changing requirements and deadlines. Proven ability to collaborate and contribute to a positive, inclusive work environment, fostering knowledge sharing and growth within the team.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837009674", "isPrivate": false}, {"id": 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": 1751916072, "t_create": 1737648765, "ats_job_id": 1970324837005425, "display_job_id": 1970324837005425, "type": "ATS", "id_locale": "1970324837005425-en", "job_description": "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. Design, develop, and maintain platform-level software solutions. Collaborate with cross-functional teams to integrate AI capabilities into various products. Ensure the reliability, scalability, and performance of platform components. Stay updated with the latest advancements in AI and engineering. Work alongside the technical staff and AI researchers to improve model development flows. Embody our Culture and Values. Bachelor's 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. 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, Golang, Java/Scala, Rust 6+ years' experience in building and releasing production software at the platform level. Deep experience with all of the following languages: Golang, Java/Scala, Typescript (React/Next.js) Experience in model pretraining, post-training, evaluation, and inference Experience using Machine Learning frameworks, including experience using, deploying, and scaling language learning models, either personally or professionally. 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 changing requirements and deadlines.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837005425", "isPrivate": false}, {"id": 1970324837012728, "name": "Member of Technical Staff, Machine Learning 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": 1751915072, "t_create": 1744318483, "ats_job_id": 1970324837012728, "display_job_id": 1970324837012728, "type": "ATS", "id_locale": "1970324837012728-en", "job_description": "Leverage subject matter expertise to uncover and mitigate model quality and model performance issues in consumer Copilot. Oversee data acquisition or generation efforts, ensuring that the data meets product needs. Generalize machine learning (ML) solutions into repeatable frameworks. Lead evaluation efforts of models deployed within Copilot. Conduct thorough review of data analysis and techniques used to summarize the process review and highlight areas that have been missed or need re-examining. Track advances in industry and academia, identifies relevant state-of-the-art research, and adapts algorithms and/or techniques to drive innovation and develop new solutions. Independently write efficient, readable, extensible code and model pipelines. Contribute to defining the model quality roadmap for Copilot, keeping in mind business and product goals. Commit to a customer-oriented focus by acknowledging customer needs and perspectives, validating customer perspectives, focusing on broader customer context, and serving as a trusted advisor. Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) Experience prompting, evaluating, and working with large language models. Experience writing production-quality Python code. Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 8+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 12+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience. Demonstrated interest in Responsible AI.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837012728", "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": 1749586569, "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": 1970324837015277, "name": "Member of Technical Staff, Infrastructure Engineer - Copilot", "location": "Mountain View, California, United States", "locations": ["Mountain View, California, United States"], "hot": 0, "department": "Copilot (P0PS)", "business_unit": "Microsoft AI (QIA5)", "t_update": 1754532372, "t_create": 1746745380, "ats_job_id": 1970324837015277, "display_job_id": 1970324837015277, "type": "ATS", "id_locale": "1970324837015277-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 discipline AND 4+ years technical engineering experience building services and products in languages such as Python, C#, C++, Rust, Java. OR equivalent experience. 4+ years' experience building scalable platforms on public cloud infrastructure like Azure, AWS, or GCP with extensive use of technologies like Docker, Kubernetes, nginx, RDBMS, key-value stores, etc. 4+ years' experience in building and releasing production software at the platform level. Solid knowledge of APIs, data flows, systems, and services. Experience managing high scale, multi-region, production environments on Kubernetes in cloud environments 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 reliability, security and ease of use. Demonstrated interpersonal skills and ability to work closely with cross-functional teams, including product managers, and other engineers. Ability to clearly communicate complex technical concepts to both technical and non-technical stakeholders. Ability to work in a fast-paced environment, manage multiple priorities, and adapt to changing requirements and deadlines. 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": "hybrid", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837015277", "isPrivate": false}, {"id": 1970324837017108, "name": "Member of Technical Staff\u00a0- 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": 1754618785, "t_create": 1749166321, "ats_job_id": 1970324837017108, "display_job_id": 1970324837017108, "type": "ATS", "id_locale": "1970324837017108-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, Objective-C, 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. 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/1970324837017108", "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": 1754918910, "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": 1970324837005449, "name": "Member of Technical Staff, AI Platform - Backend 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": 1755025186, "t_create": 1737657925, "ats_job_id": 1970324837005449, "display_job_id": 1970324837005449, "type": "ATS", "id_locale": "1970324837005449-en", "job_description": "Build secure and performant APIs that power Copilot apps. Work collaboratively with other product engineers, Product Managers, and platform engineers to take ambiguous projects and mold them into amazing experiences. 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 mobile app backend applications with coding in languages including, but not limited to, C#, Python, C++, Rust, Java, Golang, Ruby OR equivalent experience. 4+ years' experience building backend API for mobile apps such as GraphQL/Rest APIs/Protobuf/Thrift, and streaming protocols such as websocket/SSE/WebRTC with familiarity in backend and mobile data schema code generation or consistency, version control for mobile releases, analytics, feature flags, a/b testing framework. 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. 4+ years' experience building distributed systems at scale and extensive systems knowledge that spans bare-metal hosts to containers to networking. Experience working with AI platforms, frameworks, and APIs. 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": "hybrid", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837005449", "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": 1755043723, "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. 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": 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": 1756260563, "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}], "debug": {}, "count": 33, "countFilterByMatchScore": null, "location_user": ["mountain view california united states", "remote,United States"], "location_used": "mountain view california united states", "locationInsights": null, "showWizard": false, "disableLocationSearchDropdown": false, "pcsAutocompleteLocationEnabled": 0, "recommended_star_threshold": 4.0, "mocTitle": null, "fuzzyResultsReturned": false, "query": {"query": "copilot p0ps ", "location": "mountain view california united states", "department": [], "skill": [], "seniority": [], "pid": "", "work flex": [], "skills": [], "location country": [], "profession": [], "role type": [], "discipline": []}, "userTitles": [], "isThinProfile": false, "veteranProgramDetails": [], "enableTargetedResume": 0, "jobCardConfig": null, "facetDisplaySort": {"work flex": "count_desc", "skills": "count_desc", "location country": "count_desc", "profession": "count_desc", "role type": "count_desc", "discipline": "count_desc", "locations": "count_desc"}, "facets": {"work flex": {"microsoft on-site only": 52, "up to 50% work from home": 9, "up to 100% work from home": 2}, "skills": {"Artificial Intelligence": 29, "Computer Science": 25, "Machine Learning": 24, "Python": 22, "Engineering": 21, "Java": 17, "Design": 16, "Scaling": 15, "Algorithms": 14, "Teamwork": 13, "API": 12, "User Experience": 12, "Coding": 11, "ML/I": 11, "Infrastructure": 10, "Research": 10, "Scalability": 10, "Deployments": 9, "Language Modeling": 9, "C++": 8, "JavaScript": 8, "TensorFlow": 8, "Amazon Web Services (AWS)": 7, "Clear Pipelines": 7, "Cross Functional Skills": 7, "Kubernetes": 7, "PyTorch": 7, "Collaboration": 6, "Data Pipelines": 6, "Dataset": 6, "Distributed Systems": 6, "Search": 6, "Spark": 6, "Recommender Systems": 5, "Security": 5, "Software Engineering": 5, "Cross-Functional Collaborations": 4, "Data Engineering": 4, "Data Processing": 4, "Data Science": 4, "Experimentation": 4, "Generative AI": 4, "Kotlin": 4, "Pandas": 4, "Prediction": 4, "Product Development": 4, "Product Management": 4, "Revenue Management": 4, "TypeScript": 4, "Vectorization": 4, "Analytics": 3, "Android": 3, "Architecture": 3, "Cloud Infrastructure": 3, "Data Driven Framework": 3, "Innovation": 3, "Program Management": 3, "React": 3, "Adaptability": 2, "Analysis": 2, "Apache Spark": 2, "Communication": 2, "Continuous Improvement": 2, "Data Analysis": 2, "Data Modeling": 2, "Design Patterns": 2, "Docker": 2, "Documentation": 2, "Evaluation Methods": 2, "Fine Tuning": 2, "Front End": 2, "High Performance Computing": 2, "Implementation": 2, "Key Value Stores": 2, "Language Skills": 2, "Leadership": 2, "Messaging": 2, "Mobile Application Platform": 2, "Monitoring": 2, "Objective-C": 2, "Open as App Software": 2, "Point Clouds": 2, "Product Roadmaps": 2, "Reinforcement Learning": 2, "Reliability": 2, "Rust": 2, "Scala": 2, "Software Development": 2, "Strategy Execution": 2, "Technical Communication": 2, "Technical Program Management": 2, "Testing": 2, "User Interface": 2, "Web Applications": 2, "Pretraining": 2, "AI": 1, "AI Infrastructure": 1, "AI Systems": 1, "API Platform": 1, "Accounts Receivable": 1}, "location country": {"United States": 53, "United Kingdom": 10}, "profession": {"software engineering": 46, "program management": 5, "product management": 4, "business operations": 2, "design & creative": 2, "research, applied, and data sciences": 2, "business development & ventures": 1, "communications": 1}, "role type": {"individual contributor": 58, "people manager": 5}, "discipline": {"software engineering": 46, "program management": 5, "product management": 4, "business operations": 2, "design & creative": 2, "research, applied, and data sciences": 2, "business development & ventures": 1, "communications": 1}, "locations": {"Remote": 999999, "Mountain View, CA, United States": 49, "Redmond, WA, United States": 27, "London, England, United Kingdom": 10, "New York, NY, United States": 4, "Boulder, CO, United States": 1}}, "isSubQuery": false, "showBusinessUnitInPositionSidebar": false, "hideDepartment": null, "iframeImplementation": null, "pcsTextConfiguration": {}, "facetNoTitlecase": null, "skipCSSFacetCapitalization": false, "enableMapClustering": false, "readmoreInstructionEnabled": false, "candidateLogin": {}, "isHomePageLoad": false, "candidateBuildProfile": {}, "chatbot": false, "enabledPersonalizedFeatures": {"recommendationFeedback": false, "tldr": true, "personalizationPreferences": false}, "installed_app_data": [], "enhancementsEnabled": false, "disableAutoScrollOnPositionSelect": false, "locationDistanceKmDefault": 100, "searchFiltersTranslationWhitelist": [], "customJobDescTranslationSkipList": [], "enableCandidateReferralFlow": false, "showBanner": false, "pcsBannerMessage": null, "locationRadiusConfig": {"showLocationRadius": false, "locationRadiusType": "mi"}, "pcsApplyFormV2Enabled": true, "isPcsBrandingApril2023Enabled": false, "allowedFileTypes": {}, "pcsOctupleMigration0Enabled": true, "pcsOctupleMigration1Enabled": false, "replaceUrlOnGoBack": true, "pcsRedesignedNuxEnabled": false, "userActivityTimeout": 86400000, "userActivityTimeoutEnabled": 1, "isLoggedInPcsEnabled": false, "sortByConfig": null, "searchBoxConfig": {}, "excludePrivatePositions": true, "eeocFilterKeywords": ["veteran", "disability", "gender", "race", "citizen", "visa", "ethnicity"], "disableScrollLoadPositionSidebar": false, "locationFlexibilityFrontendEnabled": false, "workLocationOptionFrontendEnabled": true, "remoteFlexibleJobsFilterEnabled": false, "loggedOutNotificationsEnabled": true, "prepopulateApplyFormEnabled": true, "prepopulateSettings": {"inferEEOQuestions": false, "showPrepopulateCheckbox": true, "defaultPrepopulateCheckboxValue": true, "showClearForm": true, "prepopulateCheckboxText": "Save my answers for future applications"}, "themeBuilderUser": null, "mandatoryFields": ["firstname", "lastname", "email", "phone"], "blindfoldWidgetPcsGate": false, "pcsApplyFormLocationGate": false, "t3sEnabled": true, "uploadApplicationAnswers": false, "candidateAuthV2Enabled": true, "preApplicationSubmitAuthEnabled": false, "applyFormV2Enabled": false, "loggedOutSavedSearchEnabled": false, "locationRadiusTypeToggleEnabled": true, "incompleteApplicationsEnabled": false, "incompleteApplicationConfig": {}, "fallbackPcsJdGate": true, "enableResumeCoach": false, "isPcsEnabled": true, "applicationInfoReviewEnabled": false, "phoneWithCountryCodeEnabled": true, "phoneWithCountryCodeJTNEnabled": false, "notificationSuggestVerificationToken": null, "cookiesAutoDisabled": false, "strictEmailValidationEnabled": true, "chatbotxConfig": {"enabled": false, "featureAccessFlags": {"resumeCoachCardFlags": {"showApplyWithResume": true, "showEditResume": true}, "positionCardFlags": {"showAddToJobCart": false}}}, "pcsOptionalResumeWithJobcartGate": false, "loggedInCandidate": {}, "hamburgerMenuEnabled": false, "sharedTalentPoolGate": false, "pcsAccessibilityHomeEnabled": true, "pcsAccessibilityApplyFormEnabled": true, "showLanguageDropdown": false, "languages": [{"value": "en", "title": "English"}, {"value": "it", "title": "Italiano"}, {"value": "es", "title": "Espa\u00f1ol"}, {"value": "fr", "title": "Fran\u00e7ais"}, {"value": "pt", "title": "Portugu\u00eas"}, {"value": "nb", "title": "Norsk"}, {"value": "de", "title": "Deutsch"}, {"value": "ja", "title": "\u65e5\u672c\u8a9e"}, {"value": "ms", "title": "Bahasa melayu"}, {"value": "zh-CN", "title": "\u4e2d\u6587 (\u7b80\u4f53)"}, {"value": "zh-TW", "title": "\u4e2d\u6587 (\u7e41\u9ad4)"}, {"value": "ko", "title": "\ud55c\uad6d\uc5b4"}, {"value": "th", "title": "\u0e20\u0e32\u0e29\u0e32\u0e44\u0e17\u0e22"}, {"value": "nl", "title": "Nederlands"}, {"value": "pl", "title": "Polski"}, {"value": "uk", "title": "Y\u043a\u0440\u0430\u0457\u043d\u0441\u044c\u043a\u0430"}, {"value": "hr", "title": "Hrvatski"}, {"value": "el", "title": "\u0395\u03bb\u03bb\u03b7\u03bd\u03b9\u03ba\u03ac"}, {"value": "hu", "title": "Magyar"}, {"value": "cs", "title": "\u010de\u0161tina"}, {"value": "tr", "title": "T\u00fcrk\u00e7e"}, {"value": "ru", "title": "P\u0443\u0441\u0441\u043a\u0438\u0439"}, {"value": "ht", "title": "Haitian"}, {"value": "he", "title": "\u05e2\u05d1\u05e8\u05d9\u05ea"}, {"value": "pt-BR", "title": "Brazilian Portugu\u00eas"}, {"value": "da", "title": "Dansk"}, {"value": "fi", "title": "Suomi"}, {"value": "sv", "title": "Svenska"}, {"value": "fr-CA", "title": "Fran\u00e7ais (Canada)"}, {"value": "pt-PT", "title": "portugu\u00eas (Portugal)"}, {"value": "vi", "title": "Ti\u1ebfng Vi\u1ec7t"}, {"value": "ro", "title": "rom\u00e2n\u0103"}, {"value": "bg", "title": "\u0431\u044a\u043b\u0433\u0430\u0440\u0441\u043a\u0438"}, {"value": "ar", "title": "\u0627\u0644\u0639\u0631\u0628\u064a\u0629"}, {"value": "es-419", "title": "Espa\u00f1ol (Latinoam\u00e9rica)"}, {"value": "sk", "title": "Sloven\u010dina"}], "displayLanguage": "en", "requestLocation": false, "positionQnAEnabled": false, "singlePageCareersNavbarGate": false, "advancedOptionsA11yGate": false, "positionSidebarScrollResetGate": false, "pcsApplyFormFileAnswerGate": false, "all_applicable_locations": []}