{"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": 1753317320, "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's and team's 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 Sunnyvale, 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's 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: Provides strategic calendar management and time planning support for manager and additional team calendars when needed. Manages calendar, meeting preparation, and logistics based on knowledge of manager and business needs. Cross-Functional Collaboration and Communication: 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. Team Management Support (Headcount Management, Recruitment, Onboarding/ Offboarding):  Collaborates with Global Talent Acquisition (GTA) to facilitate internal 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 provides support to new employees, vendors, and interns as an essential contact for questions and company information. Provides high-level support for a seamless executive onboarding experience. Event Coordination and Logistics: Manages, plans, and develops events. Takes responsibility for event outcomes and demonstrates executive 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. Resource Management (Hardware/Supply Management, Purchase/Expense Management Financial Management): Owns 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): 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. Space Management and Planning: Leads space-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 appropriate space for their team. Determines future space planning needs and drives space changes based on utilization data and upcoming organizational changes. Travel Management: Works 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 logistics and maximizes trip itineraries Discipline Growth and Development: Provides leadership and actively seeks out and participates in the Business Support community. Mentors Business Support professionals. Shares best practices and insights. 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. We 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 via 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": 1749780360, "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": 1970324837010441, "name": "Language Engineer", "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": 1751901934, "t_create": 1742322530, "ats_job_id": 1970324837010441, "display_job_id": 1970324837010441, "type": "ATS", "id_locale": "1970324837010441-en", "job_description": "Spin the Data Flywheel: You will extract insights from extensive language datasets to uncover issues and opportunities and share recommendations with AI, Design, and Marketing teams that lead to direct product improvements. Evangelize learnings to drive impact: You will share Data Science and Product Analytics Insights in Weekly Product Reviews and facilitate collaborative, thought-provoking sessions with cross-functional teams. Build Taxonomies: You will create structured classifications and categorizations for language data. Build Curricula and Instructions for Taskers to Label Data: You will design comprehensive training materials and guidelines for taskers responsible for labeling data. Prompt Engineering: You will craft and refine the prompts used to train and evaluate our AI models. Orient the overall Copilot product strategy: You will use metrics and insights to influence the broader Copilot product roadmap. Bachelor's Degree AND 2+ years experience in linguistics, computer science, writing, editing, education, or library science. OR equivalent experience or research. Bachelor's Degree AND 5+ years experience in product/service/project/program management. Familiarity with scripting languages or query languages (e.g. Python, SQL). Exceptional public speaking abilities paired with clear and effective communication skills. Experience designing data collection tasks, including instructional design, setting and implementing data quality standards, and ensuring the quality of final deliverables. Experience with Machine Learning or Large Language Models, including experience in prompt engineering. Proficiency in a language other than English to support analyzing, annotating, and editing large volumes of language data. 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/1970324837010441", "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": 1970324837009314, "name": "Member of Technical Staff,  Copilot Prompt Engineer", "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": 1747242513, "t_create": 1741217423, "ats_job_id": 1970324837009314, "display_job_id": 1970324837009314, "type": "ATS", "id_locale": "1970324837009314-en", "job_description": "APPLY FOR THIS JOB RIGHT NOW. Design & develop prompting techniques for emotional and intellectual use cases Establish frameworks for AI companions to navigate complex social and ethical situations with nuance and care Create evaluations to measure both technical/practical performance and non-deterministic performance like EQ Teach others prompting techniques and ways-of-working to elevate the prompting skill throughout the team Research & implement novel prompting techniques Embody our culture and values. Chain-of-thought experience: prompting techniques that guide AI systems through reasoning processes A novel prompting discovery: a really interesting challenge that you've solved in a creative way Scaled implementation: you've shipping prompted systems that work reliably at production scale with diverse user populations Evaluation design: you've built robust testing frameworks to measure AI behavior against goals User-centric approach: proven understanding of how prompting decisions impact the lived experience of people who interact with AI A wonderful writer who loves words, storytelling, or linguistics. Effective written communication skills: able to convey complex information clearly, concisely, and effectively for various audiences Comfort with ambiguity in an exponentially growing space Bachelor's Degree in Computer Science, Philosophy, Linguistics, Psychology, Literature, or related 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. 2+ years of experience with large language models. A non-traditional background: philosophy, linguistics, psychology, therapy, or literature. An understanding of conversation design or product design. Familiarity with both quantitative metrics and qualitative assessment methods. Experience with personalization systems that adapt to individual user needs. Adversarial prompting experience or conducted some unhinged experiments. Ethical experience with demonstrated social impact.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "hybrid", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837009314", "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": 1753911266, "t_create": 1740579882, "ats_job_id": 1970324837008617, "display_job_id": 1970324837008617, "type": "ATS", "id_locale": "1970324837008617-en", "job_description": "Overview:  Microsoft AI is seeking a highly skilled and passionate engineer to join our Copilot Personality &amp; Personalization team, where you\u2019ll help redefine the way humans interact with computers. This role is ideal for someone who thrives in fast-paced, dynamic environments and is eager to push the boundaries of AI research and engineering. Beyond technical expertise, we value positive energy, empathy, and collaboration, as these qualities are integral to our team\u2019s success.\u00a0 You might thrive in this role if: You\u2019re an expert in Natural Language Processing, Reinforcement Learning, and Machine Learning, with a strong focus on personalization.\u00a0 You have experience training and optimizing large-scale language and multimodal models, as well as building robust evaluation pipelines.\u00a0 You\u2019re comfortable working with large ML codebases, debugging complex issues, and improving system performance.\u00a0 You\u2019re passionate about language and how computers use it.\u00a0 You thrive in technically complex environments, with a track record of delivering innovative, real-world AI solutions.\u00a0 If you're passionate about solving open-ended AI challenges and turning breakthrough research into world-class consumer experiences, we\u2019d love to hear from you!\u00a0 Microsoft\u2019s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Responsibilities:  Drive innovation in conversational AI, ensuring Copilot\u2019s personality and model behavior are engaging, effective, and aligned with user needs.\u00a0 Conduct cutting-edge research around AI personality and model behavior, leveraging techniques such as synthetic data generation and reinforcement learning to fine-tune responses.\u00a0 Develop and optimize post-training methods, enhancing AI performance beyond initial training phases.\u00a0 Design and implement scalable AI models, contributing to model architecture, data curation, training &amp; inference infrastructure, and evaluation protocols.\u00a0 Collaborate across teams to integrate new AI capabilities into real-world products, ensuring seamless deployment and user adoption.\u00a0 Overcome roadblocks and find solutions to rapidly iterate and deploy improvements, getting AI-powered experiences into the hands of users quickly.\u00a0 Work in a design-driven, product-focused environment, balancing technical excellence with usability and real-world impact. Embody our  Culture  and  Values .\u00a0 Required Qualifications: 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\u00a0 OR equivalent experience.\u00a0 Experience applying, evaluating, and/or training large language models (LLMs).\u00a0\u00a0 Preferred Qualifications:\u00a0 3+ years experience developing and deploying live production systems, as part of a product team.\u00a0 5+ years experience creating publications (e.g., patents, libraries, peer-reviewed academic papers).\u00a0 2+ years experience presenting at conferences or other events in the outside research/industry community as an invited speaker.\u00a0 5+ years experience conducting research as part of a research program (in academic or industry settings).\u00a0 3+ years experience developing and deploying products or systems at multiple points in the product cycle from ideation to shipping.\u00a0 Demonstrated experience in large-scale AI.\u00a0 Passionate about conversational AI and its deployment.\u00a0 Demonstrated written and verbal communication skills with the ability to work closely with cross-functional teams, including product managers, designers, and other engineers.\u00a0 Passion for learning new technologies and staying up to date with industry trends, best practices, and emerging technologies in AI.\u00a0 Proven ability to collaborate and contribute to a positive, inclusive work environment, fostering knowledge sharing and growth within the team.\u00a0\u00a0 Software Engineering IC5 - The typical base pay range for this role across the U.S. is USD $137,600 - $267,000 per year.\u00a0There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $180,400 - $294,000 per year. Software Engineering IC6 - The typical base pay range for this role across the U.S. is USD $161,600 - $286,200 per year.\u00a0There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $209,600 - $314,400 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay\u00a0\u00a0\u00a0 Microsoft will accept applications and processes offers for these roles on an ongoing basis. #Copilot #MicrosoftAI", "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": 1752522984, "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}], "debug": {}, "count": 70, "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": "1970324837007744", "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": 3}, "skills": {"Artificial Intelligence": 28, "Python": 23, "Computer Science": 22, "Machine Learning": 21, "Engineering": 19, "Algorithms": 15, "Design": 15, "Java": 15, "Teamwork": 12, "Collaboration": 11, "Language Modeling": 11, "Research": 11, "User Experience": 11, "API": 10, "Scaling": 10, "Coding": 9, "Data Pipelines": 9, "Infrastructure": 9, "ML/I": 9, "Scalability": 9, "Dataset": 8, "JavaScript": 8, "Amazon Web Services (AWS)": 7, "Data Science": 7, "Software Engineering": 7, "Communication": 6, "Data Analysis": 6, "Deployments": 6, "Distributed Systems": 6, "Experimentation": 6, "Program Management": 6, "PyTorch": 6, "C++": 5, "Clear Pipelines": 5, "Cross-Functional Collaborations": 5, "Generative AI": 5, "Kubernetes": 5, "Product Management": 5, "SQL": 5, "Spark": 5, "TensorFlow": 5, "TypeScript": 5, "Analytics": 4, "Android": 4, "Cross Functional Skills": 4, "Data Driven Framework": 4, "Data Engineering": 4, "Design Patterns": 4, "Evaluation Methods": 4, "Implementation": 4, "Kotlin": 4, "Objective-C": 4, "Prediction": 4, "Product Development": 4, "Security": 4, "Statistics": 4, "Strategy": 4, "Adaptability": 3, "Architecture": 3, "Continuous Improvement": 3, "Documentation": 3, "Front End": 3, "Optimization Software": 3, "Problem Solving": 3, "Project Management": 3, "React": 3, "Recommender Systems": 3, "Search": 3, "Software Development": 3, "User Interface": 3, "Vectorization": 3, "Administrative Support": 2, "Analysis": 2, "Apache Airflow": 2, "CSS": 2, "Calendar Management": 2, "Cloud Infrastructure": 2, "Data Analytics": 2, "Data Modeling": 2, "Data Processing": 2, "Data Quality Framework": 2, "Data Structures": 2, "Docker": 2, "Econometrics": 2, "Economics": 2, "Fine Tuning": 2, "Front End Web Development": 2, "High Performance Computing": 2, "Innovation": 2, "Java Programming": 2, "Key Value Stores": 2, "Mathematics": 2, "Mobile Application Platform": 2, "Mobile Architecture": 2, "Modeling": 2, "Pandas": 2, "Reinforcement Learning": 2, "Revenue Management": 2, "Rust": 2, "Stacks": 2}, "location country": {"United States": 57, "United Kingdom": 13}, "profession": {"software engineering": 44, "program management": 7, "product management": 6, "research, applied, and data sciences": 6, "administration": 2, "business operations": 2, "design & creative": 2, "business development & ventures": 1}, "role type": {"individual contributor": 65, "people manager": 5}, "discipline": {"software engineering": 44, "program management": 7, "product management": 6, "research, applied, and data sciences": 6, "administration": 2, "business operations": 2, "design & creative": 2, "business development & ventures": 1}, "locations": {"Remote": 999999, "Mountain View, CA, United States": 51, "Redmond, WA, United States": 28, "London, England, United Kingdom": 13, "New York, NY, United States": 2, "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": "New York, New York, United States", "city": "New York", "state": "NY,US", "country": "US"}, {"location": "Redmond, WA, USA", "city": "Redmond", "state": "WA,US", "country": "US"}, {"location": "Mountain View, CA, USA", "city": "Mountain View", "state": "CA,US", "country": "US"}, {"location": "Boulder, CO, USA", "city": "Boulder", "state": "CO,US", "country": "US"}]}