{"TALENT_ACQUISITION": {"themeOptions": {"name": "blue", "customTheme": {"customFonts": [{"fontFamily": "Segoe Sans", "src": "url('https://static.vscdn.net/images/careers/demo/microsoftai/1732737731::Segoe-sans.ttf')"}], "navbarTheme": {"textColor": "#262626", "textHoverColor": "#262626", "background": "#ffffff", "textHoverBackground": "#ffffffe6"}, "varTheme": {"font-family": "Segoe Sans"}}}}, "domain": "microsoftai.com", "configPath": "", "updatePath": "PCS>"} false
{"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": 1970324837026425, "name": "Executive Assistant", "location": "Mountain View, California, United States", "locations": ["Mountain View, California, United States"], "hot": 1, "department": "AI Research Team (9M6I)", "business_unit": "Microsoft AI (QIA5)", "t_update": 1754339262, "t_create": 1752879532, "ats_job_id": 1970324837026425, "display_job_id": 1970324837026425, "type": "ATS", "id_locale": "1970324837026425-en", "job_description": "Microsoft AI is looking for an Executive Assistant to join our newly formed organization. In this role, you will report to the Corporate Vice President (CVP) and provide administrative support to the CVP and aligned growing team. As an Executive Business Administrator, you will be helping with all levels of support, including team communications, strategic calendar management, and complex end-to-end headcount/budget management. You will identify support gaps and develop/implement solutions to help contribute to the leader\u2019s and team\u2019s overall success. In addition, you will need to collaborate closely with business partners and team leaders to support the rhythm of business (ROB), space planning, and headcount/budget planning and maintenance. To best support the team and leader, at least 50% of the time is required to work from the office in Mountain View, CA. You will be a vital member of the team, partnering with members and leaders while demonstrating Microsoft culture and values. This new group, Microsoft GenAI, works on creating novel state-of-the-art AI models, related infrastructure, and customization tooling. It collaborates deeply with OpenAI and many Microsoft teams across the company, such as Azure AI Platform, Microsoft Research, and numerous product groups. 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. In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day. Responsibilities Calendar Management:\u00a0 Provides\u00a0strategic calendar management and time planning support for manager and additional team calendars when needed.\u00a0\u00a0Manages calendar, meeting preparation, and\u00a0logistics\u00a0based on knowledge of manager and business needs. Cross-Functional Collaboration and Communication:\u00a0 Strengthens their network (internally and externally) across organizations to enable their team and leader's work. Uses executive maturity and independent insight judgment, discretion, business insights, and perspectives to direct and prepare staff to distribute information to their teams and/or supported leader.\u00a0\u00a0 Team Management Support (Headcount Management, Recruitment, Onboarding/ Offboarding):\u00a0 \u00a0Collaborates with Global Talent Acquisition (GTA) to\u00a0facilitate\u00a0internal and external recruitment efforts, and partners with hiring managers to ensure an effective process. Supports intern and university recruitment for the broader organization (e.g., planning, placement). Creates committees to promote team experiences. Lands and delegates onboarding activities (e.g., ordering new-hire equipment, setting up workstations, distribution lists, security groups) and\u00a0provides\u00a0support to new employees, vendors, and interns as an essential contact for questions and company information.\u00a0\u00a0Provides\u00a0high-level support for a seamless executive onboarding experience.\u00a0\u00a0 Event Coordination and Logistics: Manages, plans, and develops events. Takes responsibility for event outcomes and\u00a0demonstrates\u00a0executive presence. Leads a team of event planners if needed. Partners with management to understand event aspirations and target goals. Develops and leverages resources for reuse to drive efficiency. Contributes to development of workback schedule, promotion, and necessary checkpoints.\u00a0 Resource Management (Hardware/Supply Management, Purchase/Expense Management Financial Management): \u00a0Owns expense management including documentation (e.g., purchase orders [POs], receipts, tax award spreadsheets, statements of work, reclassifications), expense tracking, and policy compliance. Educates administrative team on Microsoft Policy to ensure compliancy across team/division/organization and escalates issues as needed. Functions as interim approver for executive office when needed. Rhythm of Business (ROB):\u00a0 Partners with senior leader(s) and Chiefs of Staff on building and managing annual rhythm of business (ROB), including fiscal year calendar and executive meeting schedule (e.g., Human Resources [HR] cadence, fiscal cadence, SLT cadence, company-wide and/or employee resource group cadence). Strategically communicates ROB cadence and helps to manage workloads, as needed.\u00a0\u00a0 Space Management and Planning: \u00a0Leads\u00a0space-management processes and team spaces (e.g., office locations/desk assignments, private conference rooms, seasonally transitional spaces, remote/location status), cascading space management vision to fellow team members. Addresses and resolves high-level space requests. Leads large-scale space requests (e.g., annual office restacks, space build outs), liaising between admins and space planner and negotiating for\u00a0appropriate space\u00a0for their team.\u00a0Determines\u00a0future space planning needs and drives space changes based on\u00a0utilization\u00a0data and upcoming organizational changes.\u00a0 Travel Management: \u00a0Works with appropriate contact/tool to coordinate travel arrangements (e.g., accommodations, transportation, security) for manager(s) and/or group. Creates detailed itineraries/agendas for daily activities by setting and managing travel expectations to maximize trip productivity. Manages all travel\u00a0logistics\u00a0and maximizes trip\u00a0itineraries\u00a0 Discipline Growth and Development:\u00a0 Provides\u00a0leadership and actively seeks out and\u00a0participates\u00a0in the Business Support community. Mentors Business Support professionals.\u00a0Shares best practices and insights.\u00a0\u00a0 Embody our culture and values. Qualifications Required Qualifications 7+ years Administrative, Business Support, or customer service experience in an environment with an emphasis on scheduling meetings/events, travel management, and administration work for executive/upper level management. Preferred Qualifications Experience in successfully partnering with other Executive Assistants. Proficiency with Microsoft Core Office products or related software, including, but not limited to, Word, Excel, Outlook, PowerPoint, OneNote, and OneDrive. Business Support ATR-E - The typical base pay range for this role across the U.S. is USD $32.84 - $66.30 per hour. 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 $44.81 - $72.69 per hour. 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 for the role until August 24th, 2025. Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.\u00a0We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request\u00a0via the Accommodation request form . Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work. #Copilot #MicrosoftAI", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837026425", "isPrivate": false}, {"id": 1970324837025737, "name": "Member of Technical Staff, Experimentation Data Scientist ", "location": "Mountain View, California, United States", "locations": ["Mountain View, California, United States", "Seattle, WA, USA"], "hot": 1, "department": "Copilot (P0PS)", "business_unit": "Microsoft AI (QIA5)", "t_update": 1753668404, "t_create": 1752093816, "ats_job_id": 1970324837025737, "display_job_id": 1970324837025737, "type": "ATS", "id_locale": "1970324837025737-en", "job_description": "Experimentation Management: Collaborate with feature teams to design, implement, and debug experiments. Conduct ad hoc analysis to understand metrics and user behavior changes. Statistical Analysis: Perform power analysis and experimental inference to ensure the validity and reliability of experiments. Data Analysis: Utilize SQL and Python to pull and analyze data quickly, providing insights into user behavior and experiment outcomes. Collaboration: Work closely with partners to ensure robust telemetry and instrumentation and with feature teams to design and implement experiments. 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. Strong background in statistics, economics, or a related field. Proficiency in SQL and Python. Experience with online A/B testing. Ability to conduct power analysis and experimental inference. Strong problem-solving skills and attention to detail. Excellent communication and collaboration skills. Experience in a similar role within a data science or analytics team. Familiarity with telemetry and instrumentation frameworks.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837025737", "isPrivate": false}, {"id": 1970324837015672, "name": "Member of Technical Staff, Post-Training", "location": "Mountain View, California, United States", "locations": ["Mountain View, California, United States", "Redmond, WA, USA", "New York City, NY, USA"], "hot": 1, "department": "SAN Management (C72N)", "business_unit": "Microsoft AI (QIA5)", "t_update": 1754339127, "t_create": 1747180837, "ats_job_id": 1970324837015672, "display_job_id": 1970324837015672, "type": "ATS", "id_locale": "1970324837015672-en", "job_description": "Are passionate about advancing the state of post-training research; Have experience with reward modeling, RL, or other post-training techniques; Will thrive in a highly collaborative, fast-paced environment; Have a high degree of craftsmanship and pay close attention to details, consistently striving for engineering excellence. ; Are willing to contribute meaningfully as individuals and take end-to-end ownership of projects Bachelor's Degree in Computer Science, Machine Learning, Mathematics, 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 Have experience with reward modeling, RL, or other post-training techniques. Bachelor'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, JavaScript, or Python OR Master's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. Demonstrated experience in large-scale AI. Passionate about conversational AI and its deployment. 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 AI. Proven ability to collaborate and contribute to a positive, inclusive work environment, fostering knowledge sharing and growth within the team. Develop data collection, evaluation, and post-training methods for models. Design hypotheses and experiment plans for rapidly iterating on model performance. Embody our culture and values.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837015672", "isPrivate": false}, {"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": 1970324837008617, "name": "Member of Technical Staff, AI - Personality & Personalization", "location": "Mountain View, California, United States", "locations": ["Mountain View, California, United States", "Redmond, WA, USA"], "hot": 1, "department": "AI Research Team (9M6I)", "business_unit": "Microsoft AI (QIA5)", "t_update": 1754532364, "t_create": 1740579882, "ats_job_id": 1970324837008617, "display_job_id": 1970324837008617, "type": "ATS", "id_locale": "1970324837008617-en", "job_description": "Drive innovation in conversational AI, ensuring Copilot's personality and model behavior are engaging, effective, and aligned with user needs. Conduct cutting-edge research around AI personality and model behavior, leveraging techniques such as synthetic data generation and reinforcement learning to fine-tune responses. Develop and optimize post-training methods, enhancing AI performance beyond initial training phases. Design and implement scalable AI models, contributing to model architecture, data curation, training & inference infrastructure, and evaluation protocols. Collaborate across teams to integrate new AI capabilities into real-world products, ensuring seamless deployment and user adoption. Overcome roadblocks and find solutions to rapidly iterate and deploy improvements, getting AI-powered experiences into the hands of users quickly. Work in a design-driven, product-focused environment, balancing technical excellence with usability and real-world impact. 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, Python, C, C++, C#, or TypeScript OR equivalent experience. Experience applying, evaluating, and/or training large language models (LLMs). 3+ years experience developing and deploying live production systems, as part of a product team. 5+ years experience creating publications (e.g., patents, libraries, peer-reviewed academic papers). 2+ years experience presenting at conferences or other events in the outside research/industry community as an invited speaker. 5+ years experience conducting research as part of a research program (in academic or industry settings). 3+ years experience developing and deploying products or systems at multiple points in the product cycle from ideation to shipping. Demonstrated experience in large-scale AI. Passionate about conversational AI and its deployment. 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 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/1970324837008617", "isPrivate": false}, {"id": 1970324837007239, "name": "Member of Technical Staff, AI - Reinforcement Learning Systems", "location": "Mountain View, California, United States", "locations": ["Mountain View, California, United States", "Redmond, WA, USA"], "hot": 1, "department": "AI Research Team (9M6I)", "business_unit": "Microsoft AI (QIA5)", "t_update": 1754689389, "t_create": 1739211461, "ats_job_id": 1970324837007239, "display_job_id": 1970324837007239, "type": "ATS", "id_locale": "1970324837007239-en", "job_description": "Collaborate with research teams to advance state-of-the-art algorithms for reinforcement learning in LLMs. Develop the core systems for adapting reinforcement learning to unprecedented scales and heterogeneous environments. Embody our culture of collaboration, innovation, and excellence. Bachelor's Degree in Computer Science, Software Engineering, Computer Engineering, Machine Learning, Mathematics, or related STEM fields and 4+ years of experience in coding in languages including, but not limited to, C, C++, C#, Rust, Java, or Python Experience with large-scale software systems and infrastructure. Demonstrated interest in reinforcement learning, language modelling, generative modelling, or related domains. Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Rust, Java, or Python OR equivalent experience. Background in machine learning research. Experience with large scale distributed AI systems. Ability to work collaboratively in a fast-paced, innovative environment.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837007239", "isPrivate": false}, {"id": 1970324837006629, "name": "Member of Technical Staff, AI - Multimodal", "location": "Mountain View, California, United States", "locations": ["Mountain View, California, United States", "Redmond, WA, USA"], "hot": 1, "department": "AI Research Team (9M6I)", "business_unit": "Microsoft AI (QIA5)", "t_update": 1747793891, "t_create": 1738699916, "ats_job_id": 1970324837006629, "display_job_id": 1970324837006629, "type": "ATS", "id_locale": "1970324837006629-en", "job_description": "Have proven expertise in areas of interest, evidenced by an exceptional publication track record and/or significant technical leadership in high-impact projects. Exhibit solid analytical skills, attention to detail, and a commitment to data-driven decision-making. Have experience and/or in-depth understandings about large-scale distributed systems. Demonstrate an ability to work collaboratively in a fast-paced, innovative environment. 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 Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. Demonstrated experience in large-scale AI. Passionate about conversational AI and its deployment. 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 AI. Proven ability to collaborate and contribute to a positive, inclusive work environment, fostering knowledge sharing and growth within the team. Develop algorithms, design model architectures, conduct experiments, champion measurement and evaluation, innovate datasets and data pipelines. Improve training and deployment efficiency, paying careful attention to detail, persevering, and learning from everyone's attempts whether successful or not. Follow a rigorous data-driven approach grounded in meticulous ablation studies and scientific analysis. Innovate and iterate over ideas, prototypes, and product. Collaborate closely with teams on infrastructure, data engineering, pre-training, post-training, and product feedback. Advance the AI frontier responsibly. Embody our culture and values.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837006629", "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": 1970324837029856, "name": "Member of Technical Staff - Platform Engineer", "location": "Mountain View, California, United States", "locations": ["Mountain View, California, United States"], "hot": 0, "department": "Copilot (P0PS)", "business_unit": "Microsoft AI (QIA5)", "t_update": 1754591640, "t_create": 1754518786, "ats_job_id": 1970324837029856, "display_job_id": 1970324837029856, "type": "ATS", "id_locale": "1970324837029856-en", "job_description": "Overview As Microsoft continues to push the boundaries of AI, we are on the lookout for passionate individuals to work with us on the most interesting and challenging AI questions of our time. Our vision is bold and broad \u2014\u202fto build systems that have true artificial intelligence\u202facross 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 Microsoft AI (MAI) is seeking experienced Platform Engineers to help build the next wave of capabilities of our personal AI, Copilot. We\u2019re looking for someone who possesses technical prowess, a methodical approach to problem-solving, proficiency in backend technologies, and a mastery of templating to architect solutions that stand the test of time and who will bring an abundance of positive energy, empathy, and kindness to the team every day, in addition to being highly effective. The right candidate enjoys building world-class consumer experiences and products in a fast-paced environment. The Platform Engineering team is responsible for building APIs that support our work in finetuning and deploying the core experience of Copilot, while collaborating with our Product Management, Design and AI Research teams.\u00a0 Microsoft\u2019s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.\u00a0 By applying to this U.S.\u202fMountain View, CA\u202fposition, you are required to be local to the San Francisco area and in office 3 days a week. Responsibilities Build secure and performant AI Platform services that power Copilot.\u00a0 Work collaboratively with other Platform, infrastructure, application engineers as well as AI Researchers to build next generation AI products and services.\u00a0 Ship high-quality, well-tested, secure, and maintainable code.\u00a0 Find a path to get things done despite roadblocks to get your work into the hands of users quickly and iteratively.\u00a0 Enjoy working in a fast-paced, design-driven, product development cycle.\u00a0 Embody our\u202f Culture and\u202f Values .\u00a0 Required Qualifications Bachelor\u2019s degree in computer science, or related technical discipline AND 4+ years technical engineering experience building web applications with coding in languages including, but not limited to, Python, Go, C#, C++, Rust, Java\u00a0 OR equivalent experience.\u00a0 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.\u00a0 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 Experience working with AI platforms, frameworks, and APIs.\u00a0 Experience using Machine Learning frameworks, including experience using, deploying, and scaling language learning models, either personally or professionally.\u00a0 Ability to identify, analyze, and resolve complex technical issues, ensuring optimal performance, scalability, and user experience.\u00a0 Dedication to writing clean, maintainable, and well-documented code with a focus on application quality, performance, and security.\u00a0 Demonstrated interpersonal skills and ability to work closely with cross-functional teams, including product managers, designers, and other engineers.\u00a0 Ability to clearly communicate complex technical concepts to both technical and non-technical stakeholders.\u00a0 Passion for learning new technologies and staying up to date with industry trends, best practices, and emerging technologies in web development and AI.\u00a0 Ability to work in a fast-paced environment, manage multiple priorities, and adapt to changing requirements and deadlines.\u00a0 Proven ability to collaborate and contribute to a positive, inclusive work environment, fostering knowledge sharing and growth within the team.\u00a0 Software Engineering 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. 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 for the role on an ongoing basis.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837029856", "isPrivate": false}, {"id": 1970324837029178, "name": "Director, Business & Strategy", "location": "Mountain View, California, United States", "locations": ["Mountain View, California, United States"], "hot": 0, "department": "Copilot (P0PS)", "business_unit": "Microsoft AI (QIA5)", "t_update": 1754663953, "t_create": 1754000332, "ats_job_id": 1970324837029178, "display_job_id": 1970324837029178, "type": "ATS", "id_locale": "1970324837029178-en", "job_description": "Overview Microsoft AI\u2019s (MAI) mission is to use AI responsibly to make everyone more informed, capable, and supported. MAI is responsible for Microsoft\u2019s consumer propositions including Copilot, Bing, MSN, Microsoft Advertising, and Edge, as well as developing proprietary foundational AI models. MAI works closely with a variety of teams across Microsoft and across the full AI stack to deliver on Microsoft\u2019s AI ambitions. We are growing the Business &amp; Strategy team, part of the office of the CEO of MAI, to assist with the implementation of the overarching strategy of MAI. This role is ideal for someone who thrives in a fast-paced, high-impact environment and enjoys driving clarity and execution across complex initiatives. You will play a key role in operationalizing MAI\u2019s strategic priorities by managing special projects, supporting the execution of our mission, and helping senior leadership prioritize initiatives across the organization. You\u2019ll act as an interlocutor between product, engineering, and business teams - ensuring alignment, surfacing risks, and enabling decision-making through structured communication and coordination. 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 Drive execution of MAI\u2019s strategic priorities by managing special projects and cross-functional initiatives from inception to delivery. Support the definition, tracking, and reporting of missions and metrics across the organization, ensuring alignment with leadership goals and timely progress updates. Establish and manage operating rhythms such as QBRs, OKR cycles, and leadership cadences to ensure progress against MAI\u2019s strategic goals. Partner with senior leaders to assess and prioritize initiatives, helping allocate resources and attention to the most impactful workstreams. Act as a connective tissue across teams - facilitating communication, resolving blockers, and ensuring clarity of ownership and accountability. Synthesize findings into insights across projects and leverage those insights to develop recommendations and ideas around potential growth opportunities. Function as an advisor to MAI leadership on a particular area of expertise to inform strategic business decisions. Qualifications Required/minimum qualifications: Master's Degree in Business Administration or related field AND 4+ years investment banking and/or corporate finance experience OR Bachelor's Degree AND 6+ years investment banking and/or corporate finance experience OR equivalent experience. 6+ years' experience supporting senior leadership with actionable insights such as coordinating cross-functional processes and maintaining operational cadences. Additional or preferred qualifications: Master's Degree in Business Administration or related field AND 8+ years investment banking and/or corporate finance experience OR Bachelor's Degree in AND 12+ years investment banking and/or corporate finance experience OR equivalent experience. 8+ years' experience in Strategy, Management Consulting, and/or Finance. Business Strategy IC5 - The typical base pay range for this role across the U.S. is USD $130,900 - $251,900 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 $165,600 - $272,300 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. #MicrosoftAI\u00a0", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837029178", "isPrivate": false}], "debug": {}, "count": 68, "countFilterByMatchScore": null, "location_user": "any", "location_used": "", "locationInsights": null, "showWizard": false, "disableLocationSearchDropdown": false, "pcsAutocompleteLocationEnabled": 0, "recommended_star_threshold": 4.0, "mocTitle": null, "fuzzyResultsReturned": false, "query": {"query": "", "location": "", "department": [], "skill": [], "seniority": [], "pid": "1970324837009314", "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": 8, "up to 100% work from home": 1}, "skills": {"Artificial Intelligence": 31, "Computer Science": 25, "Machine Learning": 24, "Python": 23, "Engineering": 21, "Design": 18, "Java": 18, "Algorithms": 15, "Teamwork": 14, "API": 13, "Scaling": 13, "Coding": 12, "Infrastructure": 11, "Research": 11, "User Experience": 11, "ML/I": 10, "Scalability": 10, "Language Modeling": 9, "Clear Pipelines": 8, "Collaboration": 8, "Cross Functional Skills": 7, "Data Pipelines": 7, "Data Science": 7, "Deployments": 7, "JavaScript": 7, "PyTorch": 7, "Software Engineering": 7, "TensorFlow": 7, "Amazon Web Services (AWS)": 6, "C++": 6, "Distributed Systems": 6, "Kubernetes": 6, "Search": 6, "Spark": 6, "Analytics": 5, "Android": 5, "Communication": 5, "Cross-Functional Collaborations": 5, "Dataset": 5, "Experimentation": 5, "Generative AI": 5, "Kotlin": 5, "Prediction": 5, "Product Management": 5, "Security": 5, "Data Analysis": 4, "Data Driven Framework": 4, "Data Engineering": 4, "Design Patterns": 4, "Product Development": 4, "Program Management": 4, "Recommender Systems": 4, "Revenue Management": 4, "TypeScript": 4, "Architecture": 3, "Cloud Infrastructure": 3, "Continuous Improvement": 3, "Data Processing": 3, "Documentation": 3, "Implementation": 3, "Innovation": 3, "Mobile Application Platform": 3, "Objective-C": 3, "Pandas": 3, "React": 3, "SQL": 3, "Statistics": 3, "User Interface": 3, "Vectorization": 3, "Adaptability": 2, "Administrative Support": 2, "Analysis": 2, "Apache Airflow": 2, "Calendar Management": 2, "Data Analytics": 2, "Data Modeling": 2, "Decision Making": 2, "Docker": 2, "Evaluation Methods": 2, "Fine Tuning": 2, "Front End": 2, "Front End Web Development": 2, "Human Resources": 2, "Key Value Stores": 2, "Leadership": 2, "Marketing": 2, "Microsoft Excel": 2, "Mobile Architecture": 2, "Modeling": 2, "Optimization Software": 2, "Point Clouds": 2, "Problem Solving": 2, "Product Roadmaps": 2, "Project Management": 2, "Reinforcement Learning": 2, "Rust": 2, "Software Development": 2, "Stakeholder Communications": 2, "Storage Area Network (SAN)": 2, "Strategy Execution": 2}, "location country": {"United States": 53, "United Kingdom": 15}, "profession": {"software engineering": 45, "program management": 6, "research, applied, and data sciences": 6, "product management": 4, "administration": 2, "business operations": 2, "design & creative": 2, "business development & ventures": 1}, "role type": {"individual contributor": 63, "people manager": 5}, "discipline": {"software engineering": 45, "program management": 6, "research, applied, and data sciences": 6, "product management": 4, "administration": 2, "business operations": 2, "design & creative": 2, "business development & ventures": 1}, "locations": {"Remote": 999999, "Mountain View, CA, United States": 49, "Redmond, WA, United States": 26, "London, England, United Kingdom": 15, "New York, NY, United States": 4, "Boulder, CO, United States": 1, "Seattle, WA, 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": [{"location": "Mountain View, California, United States", "city": "Mountain View", "state": "CA,US", "country": "US"}, {"location": "Redmond, WA, USA", "city": "Redmond", "state": "WA,US", "country": "US"}]} {"display_banner": false, "display_text": ""}
.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; } .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 }