copilot p0ps jobs in mountain view ca usa

{"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": 1970324837009262, "name": "Member of Technical Staff, High Performance Computing Engineer", "location": "Mountain View, CA, USA", "locations": ["Mountain View, CA, USA"], "hot": 1, "department": "Copilot (P0PS)", "business_unit": "Microsoft AI (QIA5)", "t_update": 1751915808, "t_create": 1741186526, "ats_job_id": 1970324837009262, "display_job_id": 1970324837009262, "type": "ATS", "id_locale": "1970324837009262-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/1970324837009262", "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": 1970324837007527, "name": "Principal Product Designer", "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": 1743300377, "t_create": 1739397179, "ats_job_id": 1970324837007527, "display_job_id": 1970324837007527, "type": "ATS", "id_locale": "1970324837007527-en", "job_description": "design vision and execution for innovative zero-to-one consumer products. Ship world-class AI applications that delight consumers with an emphasis on craft, quality, trust, and positive user and societal impact 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. Cross-functional communication and dependency management, scoping and scheduling, and seeing through implementation by collaborating with engineering through the finish line. Find your own path to get things done despite roadblocks to get your work into the hands of users quickly and iteratively. Set the bar for excellence and quality and hold the team accountable to that standard Enjoy working in a fast-paced, design-driven, product development cycle. Translate business goals into strategy, user experience and technical requirements in close collaboration with UX designers and AI model training teams. Define goals and performance indicators, set up and oversee experiments, measure success with data and research. Collaborate effectively and communicate clearly with cross-functional teams, including product managers, designers, and other engineers, to build exceptional consumer-grade applications. Bachelor's Degree in Industrial Design, Product Design, Human Computer Interaction, User Experience, Interaction Design, or related field AND 8+ years experience working in product or service design OR Master's Degree in Industrial Design, Product Design, Human Computer Interaction, User Experience, Interaction Design, or related field AND 6+ years experience working in product or service design OR equivalent experience (e.g., demonstrated experience working in product or service design or using design thinking to solve problems). A portfolio or work samples that demonstrate at least 5 years of experience designing world class consumer products from vision through launch. Proven track record of setting design vision for innovative products that require bold thinking and risk taking. Ability to break large bodies of work into a phased execution plan, and lead a cross-functional team from idea to polished implementation. Demonstrate high craft in design work; must value craft and translate vision into well-polished design prototypes. Experience that demonstrates proven ability to advocate for design thinking, effectively influence design outcomes, discover problems and tackle them in fast-paced and ambiguous environments. Experience with diving into research and leveraging both qualitative and quantitative signals for design impact. Experience prompting LLMs, working with generative AI, or an intense desire to learn. Ability to own your work in a fast-paced. start-up like environment, manage multiple priorities, and adapt to ever-changing requirements and deadlines. Proven ability to collaborate and contribute to a positive, inclusive work environment, fostering knowledge sharing and growth within the team. Optional, but lovely: Prototype-level engineering experience like JavaScript or Python.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837007527", "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": 1749586681, "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": 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": 1970324837010567, "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": 1749586400, "t_create": 1742410449, "ats_job_id": 1970324837010567, "display_job_id": 1970324837010567, "type": "ATS", "id_locale": "1970324837010567-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. Proficiency in programming languages like Python or R, with experience in data processing frameworks (e.g., Spark, Hadoop). Demonstrated success in working with large datasets and cloud platforms such as AWS, GCP, or Azure. 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/1970324837010567", "isPrivate": false}, {"id": 1970324837007744, "name": "Member of Technical Staff \u2013 Machine Learning Engineer\u00a0", "location": "New York, New York, United States", "locations": ["New York, New York, United States", "Redmond, WA, USA", "Mountain View, CA, USA", "Boulder, CO, USA"], "hot": 0, "department": "Copilot (P0PS)", "business_unit": "Microsoft AI (QIA5)", "t_update": 1750964991, "t_create": 1739568976, "ats_job_id": 1970324837007744, "display_job_id": 1970324837007744, "type": "ATS", "id_locale": "1970324837007744-en", "job_description": "Creates pipelines for machine learning, inclusive of data preparation, inference, and integration with downstream systems. Comfortable with large scale data processing pipelines to extract business value from user logs. Learning about, understanding, and experimenting with the latest LLM capabilities that keep up with your customers. Partnering with engineering, product, and leadership teams to create robust client libraries that facilitate large scale inference on user data. Driving design and technical strategy decisions based on product needs, customer feedback and best development practices. Providing technical leadership and subject matter expertise as you establish and grow best practices for the integration of emerging technology. Embody our Culture and Values. Bachelor's Degree in Computer Science, or related technical discipline AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, or Python OR equivalent experience. Experience with Python, SQL, and/or Spark. Bachelor's Degree in Computer Science or related technical field AND 10+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, or Python OR Master's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, or Python OR equivalent experience Experience with Azure Machine Learning or similar systems, including deployment and monitoring of large-scale pipelines. Experience with Python package development. Experience with LLMs and prompt engineering. Experience with ML and data science libraries such as sklearn, PySpark, pandas, and transformers.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837007744", "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": 1751481091, "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": 1970324837016566, "name": "Member of Technical Staff - Web", "location": "Mountain View, California, United States", "locations": ["Mountain View, California, United States"], "hot": 0, "department": "Copilot (P0PS)", "business_unit": "Microsoft AI (QIA5)", "t_update": 1751477750, "t_create": 1748371293, "ats_job_id": 1970324837016566, "display_job_id": 1970324837016566, "type": "ATS", "id_locale": "1970324837016566-en", "job_description": "As a Member of Technical Staff - Web, you will be responsible for the following: Design and build a high-performance front-end platform that drives multiple complex web applications. Ship delightful, AI powered experiences that will shape how millions of people will interact with AI in the future Empower developers to build the most performant product experiences through tooling, primitives and capabilities. Collaborate with Eng, Design and Product leadership to prioritize features and deliver a world-class AI companion to the world Join a small team of passionate product engineers with deep frontend expertise who are obsessed with building beautiful and performant products. Embody our Culture and Values. Bachelor's degree in computer science, or related technical discipline AND 4+ years technical engineering experience with coding in languages including, but not limited to, Typescript and React Bachelor's degree in computer science, or related technical discipline AND 8+ years technical engineering experience with coding in languages including, but not limited to, Typescript and React OR equivalent experience. Proficient background in Web Performance optimizations, browser internals and scaling the web stack. Take a user-centric approach to product development, prioritizing solutions that result in the best user experience and have the technical expertise to pull it off. Thrive in a fast-paced, collaborative environment and are comfortable making progress in ambiguity. Enjoy working closely with cross-functional partners and teammates in an inclusive, curious culture.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837016566", "isPrivate": false}], "debug": {}, "count": 33, "countFilterByMatchScore": null, "location_user": ["mountain view ca usa", "remote,United States"], "location_used": "mountain view ca usa", "locationInsights": null, "showWizard": false, "disableLocationSearchDropdown": false, "pcsAutocompleteLocationEnabled": 0, "recommended_star_threshold": 4.0, "mocTitle": null, "fuzzyResultsReturned": false, "query": {"query": "copilot p0ps ", "location": "mountain view ca usa", "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": 59, "up to 50% work from home": 13, "up to 100% work from home": 2}, "skills": {"Artificial Intelligence": 28, "Python": 23, "Engineering": 22, "Computer Science": 21, "Machine Learning": 19, "Java": 16, "Design": 14, "User Experience": 13, "Algorithms": 12, "API": 11, "Scalability": 11, "Teamwork": 11, "Collaboration": 10, "Infrastructure": 10, "Amazon Web Services (AWS)": 9, "JavaScript": 9, "Language Modeling": 9, "Program Management": 9, "Scaling": 9, "Coding": 8, "Data Science": 7, "Experimentation": 7, "Product Development": 7, "Research": 7, "C++": 6, "Distributed Systems": 6, "Kubernetes": 6, "ML/I": 6, "Security": 6, "Android": 5, "Architecture": 5, "Cross Functional Skills": 5, "Cross-Functional Collaborations": 5, "Data Pipelines": 5, "Dataset": 5, "Software Engineering": 5, "TypeScript": 5, "Analytics": 4, "Clear Pipelines": 4, "Communication": 4, "Continuous Improvement": 4, "Data Analysis": 4, "Deployments": 4, "Generative AI": 4, "Product Management": 4, "SQL": 4, "Spark": 4, "Stacks": 4, "Adaptability": 3, "Analysis": 3, "Data Analytics": 3, "Data Driven Framework": 3, "Data Engineering": 3, "Data Processing": 3, "Design Patterns": 3, "Economics": 3, "Evaluation Methods": 3, "Front End": 3, "Implementation": 3, "Kotlin": 3, "Objective-C": 3, "Project Management": 3, "PyTorch": 3, "Rust": 3, "Search": 3, "Statistics": 3, "Strategy": 3, "TensorFlow": 3, "Testing": 3, "Web Applications": 3, "CSS": 2, "Cloud Infrastructure": 2, "Data Modeling": 2, "Docker": 2, "Econometrics": 2, "Entrepreneurship": 2, "Fine Tuning": 2, "High Performance Computing": 2, "Innovation": 2, "Java Programming": 2, "Key Value Stores": 2, "Leadership": 2, "Mathematics": 2, "Mobile Application Platform": 2, "Mobile Architecture": 2, "Operational Excellence": 2, "PHP": 2, "Pandas": 2, "People Management": 2, "Problem Solving": 2, "Process Improvement": 2, "React": 2, "Reinforcement Learning": 2, "Reporting": 2, "Revenue Management": 2, "Risk Mitigation": 2, "Software Development": 2, "Stakeholder Management": 2, "Strategic Planning": 2, "Technical Communication": 2}, "location country": {"United States": 64, "United Kingdom": 10}, "profession": {"software engineering": 45, "research, applied, and data sciences": 7, "program management": 6, "product management": 5, "business operations": 3, "business development & ventures": 2, "communications": 2, "design & creative": 2, "administration": 1, "legal & corporate affairs": 1}, "role type": {"individual contributor": 67, "people manager": 7}, "discipline": {"software engineering": 45, "research, applied, and data sciences": 7, "program management": 6, "product management": 5, "business operations": 3, "business development & ventures": 2, "communications": 2, "administration": 1, "design & creative": 1, "legal & corporate affairs": 1, "product design": 1}, "locations": {"Remote": 999999, "Mountain View, CA, United States": 54, "Redmond, WA, United States": 33, "London, England, United Kingdom": 10, "New York, NY, United States": 3, "Boulder, CO, United States": 1, "United States": 1, "Washington, DC, 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": []}