{"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": 1970324837029176, "name": "Member of Technical Staff, AI Safety Post-Training", "location": "Mountain View, California, United States", "locations": ["Mountain View, California, United States", "Redmond, WA, USA", "New York, NY, USA"], "hot": 1, "department": "AI Research Team (9M6I)", "business_unit": "Microsoft AI (QIA5)", "t_update": 1757438618, "t_create": 1753998954, "ats_job_id": 1970324837029176, "display_job_id": 1970324837029176, "type": "ATS", "id_locale": "1970324837029176-en", "job_description": "Overview As a Member of Technical Staff, AI Safety Post-Training, you will work\u00a0to\u00a0develop and implement\u00a0cutting-edge\u00a0safety methodologies for post-training large language models with agentic and reasoning capabilities that are served to millions of users through Copilot every day. We work on the bleeding edge and\u00a0leverage\u00a0the most powerful pretrained models and algorithms, making it critical that we ensure our AI systems behave safely and align with organizational values. You will\u00a0be responsible for\u00a0designing novel safety evaluation frameworks,\u00a0curating high-quality data for robust evaluations and training,\u00a0prototyping new safety capabilities, and developing safety-focused fine-tuning algorithms.\u00a0We're\u00a0looking for\u00a0outstanding individuals\u00a0with deep\u00a0expertise\u00a0in AI safety who can translate research insights into practical solutions while being a strong communicator and collaborative teammate. The ideal candidate takes\u00a0the initiative\u00a0in exploring new safety methodologies and enjoys building world-class, trustworthy AI experiences in a fast-paced applied research environment.\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 Starting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location. This expectation is subject to local law and may vary by jurisdiction. Responsibilities Leverage\u00a0expertise\u00a0in AI safety to uncover potential risks and develop novel mitigation strategies, including alignment techniques, constitutional AI approaches, RLHF, and robustness improvements for large language models.\u00a0 Create and implement comprehensive evaluation frameworks and red-teaming methodologies to assess model safety across diverse scenarios, edge cases, and potential failure modes.\u00a0 Build automated safety testing systems, generalize safety solutions into repeatable frameworks, and write efficient code for safety model pipelines and intervention systems.\u00a0 Maintain a user-oriented perspective by understanding safety needs from user perspectives,\u00a0validating\u00a0safety approaches through user research, and serving as a trusted advisor on AI safety matters. Track advances in AI safety research,\u00a0identify\u00a0relevant\u00a0state-of-the-art\u00a0techniques, and adapt safety algorithms to drive innovation in production systems serving millions of users.\u00a0 Embody our culture and values.\u00a0 Qualifications Required Qualifications Bachelor\u2019s 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\u00a0\u00a0 OR equivalent experience.\u00a0\u00a0 Experience prompting and working with large language models.\u00a0\u00a0\u00a0 Experience writing production-quality Python code.\u00a0\u00a0 Preferred Qualifications Bachelor\u2019s Degree in Computer Science\u00a0or 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\u00a0\u00a0 OR\u00a0Master\u2019s Degree in Computer Science\u00a0or 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\u00a0\u00a0 OR equivalent experience.\u00a0\u00a0 Demonstrated interest in Responsible AI.\u00a0\u00a0\u00a0 Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 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 $158,400 - $258,000 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay\u00a0\u00a0\u00a0", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "hybrid", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837029176", "isPrivate": false}, {"id": 1970324837018176, "name": "Member of Technical Staff \u2013 Machine Learning, AI Safety  ", "location": "Mountain View, California, United States", "locations": ["Mountain View, California, United States", "Redmond, WA, USA", "New York, NY, USA"], "hot": 1, "department": "AI Research Team (9M6I)", "business_unit": "Microsoft AI (QIA5)", "t_update": 1757440068, "t_create": 1750776899, "ats_job_id": 1970324837018176, "display_job_id": 1970324837018176, "type": "ATS", "id_locale": "1970324837018176-en", "job_description": "Overview As a Member of Technical Staff \u2013 Machine Learning, AI Safety, you will\u00a0develop and implement\u00a0cutting-edge\u00a0safety methodologies and mitigations for\u00a0products that are served to millions of users through Copilot every day.\u00a0Users turn to Copilot for support in all types of endeavors, making it critical that we ensure our AI systems behave safely and align with organizational values.\u00a0You\u00a0may\u00a0be responsible for\u00a0developing new methods to evaluate LLMs, experimenting with data collection techniques,\u00a0implementing safety orchestration methods and mitigations,\u00a0and\u00a0training content classifiers to support the Copilot experience.\u202fWe\u2019re\u202flooking for\u00a0outstanding individuals\u00a0with experience in\u00a0machine learning or machine learning infrastructure who are also\u00a0strong communicators\u00a0and great teammates.\u202fThe right candidate takes the initiative and enjoys building world-class, trustworthy AI\u00a0experiences and products in a fast-paced environment.\u00a0\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 \ufeff Starting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location. This expectation is subject to local law and may vary by jurisdiction. Responsibilities Leverage\u00a0expertise\u00a0to uncover potential risks and develop novel mitigation strategies, including data mining, prompt engineering, LLM evaluation, and classifier training.\u00a0 Create and implement comprehensive evaluation frameworks and red-teaming methodologies to assess model safety across diverse scenarios, edge cases, and potential failure modes.\u00a0 Build automated safety testing systems, generalize safety solutions into repeatable frameworks, and write efficient code for safety model pipelines and intervention systems.\u00a0 Maintain a user-oriented perspective by understanding safety needs from user perspectives,\u00a0validating\u00a0safety approaches through user research, and serving as a trusted advisor on AI safety matters\u00a0 Track advances in AI safety research,\u00a0identify\u00a0relevant\u00a0state-of-the-art\u00a0techniques, and adapt safety algorithms to drive innovation in production systems serving millions of users.\u00a0 Embody our culture and values.\u00a0 Qualifications Required Qualifications Bachelor\u2019s 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\u00a0\u00a0 OR equivalent experience.\u00a0\u00a0 Experience prompting and working with large language models.\u00a0\u00a0\u00a0 Experience writing production-quality Python code.\u00a0\u00a0\u00a0 Preferred Qualifications Bachelor\u2019s Degree in Computer Science\u00a0or 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\u00a0\u00a0 OR\u00a0Master\u2019s Degree in Computer Science\u00a0or 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\u00a0\u00a0 OR equivalent experience.\u00a0\u00a0 Demonstrated interest in Responsible AI.\u00a0\u00a0\u00a0 Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year.\u00a0There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 - $258,000 per year. Software Engineering IC5 - The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 per year.\u00a0There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay\u00a0\u00a0\u00a0 Microsoft will accept applications and processes offers for these roles on an ongoing basis.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "hybrid", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837018176", "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": 1757715650, "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": 1757729323, "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": 1757441955, "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. Starting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location. This expectation is subject to local law and may vary by jurisdiction. Responsibilities:  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": 1757442721, "t_create": 1739211461, "ats_job_id": 1970324837007239, "display_job_id": 1970324837007239, "type": "ATS", "id_locale": "1970324837007239-en", "job_description": "Overview Help build the world\u2019s most advanced reinforcement learning systems at Microsoft AI. We're on a mission to create trustworthy agents capable of autonomous action and decision-making on behalf of our users. As part of our team, you\u2019ll help advance state-of-the-art model capabilities by contributing to core systems, infrastructure, and research.\u00a0 We are looking for distributed systems experts with a scientific mindset. The ideal candidate will be able to build complex systems from the ground up, discover and diagnose causes of suboptimal performance, and contribute to solving scientific and research challenges. Specifically, they should:\u00a0 Excel in programming (especially parallel/concurrent), software engineering, and API design\u00a0 Have experience in large-scale systems, preferably having built some components from scratch.\u00a0 Thrive in a highly collaborative, fast-paced environment\u00a0 Have a high degree of craftsmanship and pay close attention to details\u00a0 Effectively manage multiple responsibilities and can adjust to shifting priorities\u00a0 Be motivated by training capable and safe AI agents and shipping them into the hands of millions of users\u00a0 A background in machine learning is preferred but not required. In this case, candidates must demonstrate they have an ability to quickly learn the subject, and backgrounds in mathematics, competitive programming, and related domains are a plus.\u00a0 By applying to this U.S. Mountain View, CA OR Redmond, WA position, you are required to be local to the San Francisco area OR Seattle area and in office 3 days a week.\u00a0 Microsoft\u2019s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.\u00a0 Starting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location. This expectation is subject to local law and may vary by jurisdiction. Responsibilities Collaborate with research teams to advance state-of-the-art algorithms for reinforcement learning in LLMs.\u00a0 Develop the core systems for adapting reinforcement learning to unprecedented scales and heterogeneous environments.\u00a0\u00a0 Embody our  culture  of collaboration, innovation, and excellence.\u00a0 Qualifications Required Qualifications: 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\u00a0 OR equivalent experience.\u00a0 Experience with large-scale software systems and infrastructure.\u00a0 Demonstrated interest in reinforcement learning, language modelling, generative modelling, or related domains.\u00a0 Preferred Qualifications: 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\u00a0 OR equivalent experience.\u00a0 Background in machine learning research.\u00a0 Experience with large scale distributed AI systems.\u00a0 Ability to work collaboratively in a fast-paced, innovative environment.\u00a0 Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $117,200 - $229,200 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $153,600 - $250,200 per year. Software Engineering IC5 - The typical base pay range for this role across the U.S. is USD $137,600 - $267,000 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $180,400 - $294,000 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:  https://careers.microsoft.com/us/en/us-corporate-pay\u00a0 Microsoft will accept applications and processes offers for these roles on an ongoing basis. #MicrosoftAI #Copilot", "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": 1757590137, "t_create": 1738699916, "ats_job_id": 1970324837006629, "display_job_id": 1970324837006629, "type": "ATS", "id_locale": "1970324837006629-en", "job_description": "Overview Help deliver one of the best foundational models in the world at Microsoft AI.\u00a0 At Microsoft AI, we are on a mission to train the world\u2019s most capable AI frontier models, pushing the boundaries of scale, performance and product deployment. The Multimodal team at Microsoft AI tackles some of the most challenging problems in deep learning at scale. As a team, we will deliver one of the best foundation models in the world, forming the foundation of many initiatives across Microsoft AI.\u00a0 We are looking for outstanding individuals excited about contributing to the next generation of systems that will transform the field. In particular, we are looking for candidates who:\u00a0 Have proven expertise in areas of interest, evidenced by an exceptional publication track record and/or significant technical leadership in high-impact projects.\u00a0 Exhibit solid analytical skills, attention to detail, and a commitment to data-driven decision-making.\u00a0 Have experience and/or in-depth understandings about large-scale distributed systems.\u00a0 Demonstrate an ability to work collaboratively in a fast-paced, innovative environment.\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. \ufeff Starting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location. This expectation is subject to local law and may vary by jurisdiction. Responsibilities 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\u2019s attempts whether successful or not.\u00a0 Follow a rigorous data-driven approach grounded in meticulous ablation studies and scientific analysis.\u00a0 Innovate and iterate over ideas, prototypes, and product.\u00a0 Collaborate closely with teams on infrastructure, data engineering, pre-training, post-training, and product feedback.\u00a0 Advance the AI frontier responsibly.\u00a0 Embody our  culture  and  values .\u00a0 Qualifications Required Qualifications 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\u00a0 OR equivalent experience.\u00a0 Preferred Qualifications: 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\u00a0 OR equivalent experience.\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\u00a0\u00a0 Passion for learning new technologies and staying up to date with industry trends, best practices, and emerging technologies in AI.\u00a0\u00a0 Proven ability to collaborate and contribute to a positive, inclusive work environment, fostering knowledge sharing and growth within the team. Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $117,200 - $229,200 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $153,600 - $250,200 per year. Software Engineering IC5 - The typical base pay range for this role across the U.S. is USD $137,600 - $267,000 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $180,400 - $294,000 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:  https://careers.microsoft.com/us/en/us-corporate-pay Microsoft will accept applications and processes offers for these roles on an ongoing basis.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/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": 1757442843, "t_create": 1737648765, "ats_job_id": 1970324837005425, "display_job_id": 1970324837005425, "type": "ATS", "id_locale": "1970324837005425-en", "job_description": "Overview As Microsoft continues to push the boundaries of AI, we are on the lookout for passionate\u202findividuals to work with us on the most interesting and challenging AI questions of our time. Our vision is bold and broad \u2014 to build systems that have true artificial intelligence across agents, applications, services, and infrastructure. It\u2019s also inclusive: we aim to make AI accessible to all \u2014 consumers, businesses, developers \u2014 so that everyone can realize its benefits.\u00a0 At Microsoft AI, AI is part of everything we do. Our AI Product Acceleration team is dedicated to enabling rapid development and deployment of AI across our products. We collaborate closely with the top AI engineers in the world, working at the bleeding edge of engineering and AI research.\u00a0 If you are passionate about AI, eager to work at the forefront of technology, and want to be part of a team that empowers all other teams at Microsoft Copilot to build AI products quickly and seamlessly - join us as an AI Platform Engineer!\u00a0\u00a0 By applying to this U.S. Mountain View CA position, you are required to be local to the Mountain View CA area and in office 3 days a week. Microsoft\u2019s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. \ufeff Starting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location. This expectation is subject to local law and may vary by jurisdiction. Responsibilities As an AI Platform Engineer, you will play a crucial role in building and releasing production software at the platform level. You will work on APIs, data flows, systems, and services that form the backbone of our AI products. Your expertise will help us create robust and scalable platforms that drive innovation and efficiency.\u00a0 Design, develop, and maintain platform-level software solutions.\u00a0 Collaborate with cross-functional teams to integrate AI capabilities into various products.\u00a0 Ensure the reliability, scalability, and performance of platform components.\u00a0 Stay updated with the latest advancements in AI and engineering.\u00a0 Work alongside the technical staff and AI researchers to improve model development flows.\u00a0 Embody our  Culture  and  Values .\u00a0 Qualifications Required Qualifications Bachelor\u2019s degree in computer science, or related/equivalent technical discipline AND 4+ years technical engineering experience building and scaling web services, APIs, and products. OR equivalent experience. Deep experience with Python AND at least one of the following: Golang, Java/Scala, Typescript (React, Next.js) 4+ years' experience in building and releasing production software at the platform level. Strong knowledge of APIs, data flows, systems, and services. Preferred Qualifications Bachelor\u2019s degree in computer science, or related technical discipline AND 6+ years technical engineering experience building web services with coding in\u202flanguages including, but not limited to: Python, Golang, Java/Scala, Rust\u00a0 6+ years' experience in building and releasing production software at the platform level.\u00a0 Deep experience with all of the following languages: Golang, Java/Scala, Typescript (React/Next.js)\u00a0 Experience in model pretraining, post-training, evaluation, and inference\u00a0 Experience using Machine Learning frameworks, including experience using, deploying, and\u202fscaling language learning models, either personally or professionally.\u00a0 Ability to clearly communicate complex technical concepts to both technical and non-technical stakeholders. Demonstrated interpersonal skills and ability to work closely with cross-functional teams, including product managers, designers, and other engineers. Proven ability to collaborate and contribute to a positive, inclusive work environment, fostering knowledge sharing and growth within the team. Experience going from zero-to-one as well as working with developed systems. Ability to work in a fast-paced environment, manage multiple priorities, and adapt to\u202fchanging requirements and deadlines. Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $117,200 - $229,200 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $153,600 - $250,200 per year. Software Engineering IC5 - The typical base pay range for this role across the U.S. is USD $137,600 - $267,000 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $180,400 - $294,000 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:  https://careers.microsoft.com/us/en/us-corporate-pay Microsoft will accept applications and processes offers for these roles on an ongoing basis.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837005425", "isPrivate": false}, {"id": 1970324837083440, "name": "Technical Program Manager - Copilot, Microsoft AI", "location": "Mountain View, California, United States", "locations": ["Mountain View, California, United States"], "hot": 0, "department": "Copilot (P0PS)", "business_unit": "Microsoft AI (QIA5)", "t_update": 1757704689, "t_create": 1757359162, "ats_job_id": 1970324837083440, "display_job_id": 1970324837083440, "type": "ATS", "id_locale": "1970324837083440-en", "job_description": "Overview As Microsoft continues to push the boundaries of AI, we are on a mission to build systems with true artificial intelligence across agents, applications, services, and infrastructure. Our vision is bold and inclusive: to make AI accessible to all, so that everyone can realize its benefits.\u00a0 The Copilot Product Infrastructure team is at the heart of this transformation. We build and scale the cloud infrastructure that powers Copilot, Microsoft\u2019s most ambitious AI-native product experience. From traffic engineering and scalable compute to experimentation platforms and release systems, we design the infrastructure that enables thousands of engineers to ship AI-powered features with speed, safety, and precision.\u00a0 We\u2019re tackling some of the most complex challenges in cloud infrastructure at scale, and we\u2019re doing it with an AI-native approach from the ground up. Our systems are purpose-built to support frontier model integration, rapid experimentation, and global deployment across Microsoft\u2019s consumer products.\u00a0 We collaborate closely with engineering, product management, and AI research teams to empower every Copilot team to bring cutting-edge AI research to production. Our work directly shapes how AI reaches millions of users, and we\u2019re growing fast.\u00a0 We\u2019re looking for highly motivated and detail-oriented Technical Program Managers who are passionate about AI and deeply proficient in scaling backend technologies. In particular, we\u2019re looking for individuals who:\u00a0 Have deep experience with cloud infrastructure, including Kubernetes, CI/CD, traffic routing, and experimentation platforms.\u00a0 Thrive in environments where they partner closely with engineers, SREs, and product teams to deliver scalable, reliable systems.\u00a0 Take initiative and enjoy navigating ambiguity in a fast-paced, high-growth environment.\u00a0 Are comfortable owning programs that span offices, teams, and time zones, coordinating across workstreams and relentlessly unblocking progress.\u00a0 Demonstrate a proactive attitude and enthusiasm for improving developer velocity, system resilience, and operational clarity.\u00a0 Are excited to build infrastructure that\u2019s designed from day one to support AI-native development, with the scale, agility, and reliability that frontier models demand.\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\u00a0 By applying to this\u202frole based in\u202fU.S. Mountain View, CA. You\u202fare required to\u202fbe local to the San Francisco area and be in office 4 days a week. Starting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location. This expectation is subject to local law and may vary by jurisdiction.\u00a0 Responsibilities Drive end-to-end execution of infrastructure programs that power Copilot, including planning, scoping, milestone tracking, and cross-team coordination.\u00a0 Partner closely with engineers, SREs, product managers, and AI researchers to deliver scalable, reliable systems for traffic routing, compute orchestration, experimentation, security and release.\u00a0 Own program status across multiple workstreams, proactively identifying risks, unblocking progress, and ensuring timely delivery.\u00a0 Translate complex technical initiatives into clear execution plans, aligning stakeholders across time zones and functions.\u00a0 Communicate program strategies, trade-offs, and results to executive leadership and partner teams, advocating for infrastructure priorities and long-term platform health.\u00a0 Champion an AI-native approach to infrastructure, ensuring systems are designed from the ground up to support frontier model integration and rapid experimentation.\u00a0 Qualifications Required/minimum qualifications Bachelor's Degree AND 4+ years experience in engineering, product/technical program management, data analysis, or product development\u00a0\u00a0 OR equivalent experience.\u00a0 2+ years of experience managing cross-functional and/or cross-team projects.\u00a0 3+\u00a0years experience working on software development and/or cloud infrastructure projects (AWS/Azure/GCP)\u00a0 Additional or preferred qualifications Bachelor's Degree AND 8+ years experience engineering, product/technical program management, data analysis, or product development OR equivalent experience.\u00a0 6+ years of experience managing cross-functional and/or cross-team projects.\u00a0 Technical Program Management IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 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 $158,400 - $258,000 per year.\u00a0 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 Microsoft will accept applications and processes offers for these roles on an ongoing basis.\u00a0 #MicrosoftAI #Copilot\u00a0", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837083440", "isPrivate": false}, {"id": 1970324837082726, "name": "Executive Assistant", "location": "Redmond, Washington, United States", "locations": ["Redmond, Washington, United States"], "hot": 0, "department": "SAN Management (C72N)", "business_unit": "Microsoft AI (QIA5)", "t_update": 1757703606, "t_create": 1756995274, "ats_job_id": 1970324837082726, "display_job_id": 1970324837082726, "type": "ATS", "id_locale": "1970324837082726-en", "job_description": "Overview 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 MAI leadership team 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. Starting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location. This expectation is subject to local law and may vary by jurisdiction. Responsibilities 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: \u00a0Manages, 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 \u00a0in 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 10/5/2025", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837082726", "isPrivate": false}], "debug": {}, "count": 57, "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": 48, "up to 50% work from home": 8, "up to 100% work from home": 1}, "skills": {"Artificial Intelligence": 30, "Computer Science": 24, "Machine Learning": 24, "Engineering": 22, "Python": 22, "Java": 17, "Scaling": 16, "Algorithms": 15, "Design": 15, "Teamwork": 14, "API": 12, "Infrastructure": 11, "ML/I": 11, "Coding": 10, "Language Modeling": 10, "Research": 10, "User Experience": 10, "Scalability": 9, "Collaboration": 8, "Deployments": 8, "JavaScript": 8, "Amazon Web Services (AWS)": 7, "C++": 7, "Cross Functional Skills": 7, "Kubernetes": 7, "TensorFlow": 7, "Data Pipelines": 6, "Product Development": 6, "PyTorch": 6, "Search": 6, "Clear Pipelines": 5, "Data Engineering": 5, "Dataset": 5, "Distributed Systems": 5, "Generative AI": 5, "Innovation": 5, "Security": 5, "Spark": 5, "Cross-Functional Collaborations": 4, "Experimentation": 4, "Product Management": 4, "Program Management": 4, "Recommender Systems": 4, "Revenue Management": 4, "Software Engineering": 4, "TypeScript": 4, "Vectorization": 4, "Data Processing": 3, "Data Science": 3, "Docker": 3, "Documentation": 3, "Evaluation Methods": 3, "Front End": 3, "Implementation": 3, "Kotlin": 3, "Pandas": 3, "Prediction": 3, "Project Management": 3, "React": 3, "Reinforcement Learning": 3, "Technical Program Management": 3, "Testing": 3, "User Interface": 3, "Alignment": 2, "Analysis": 2, "Android": 2, "Apache Airflow": 2, "Apache Spark": 2, "Architecture": 2, "Change Management": 2, "Communication": 2, "Data Driven Framework": 2, "Data Modeling": 2, "Deep Learning": 2, "Fine Tuning": 2, "High Performance Computing": 2, "Key Value Stores": 2, "Language Skills": 2, "Leadership": 2, "Messaging": 2, "Monitoring": 2, "Objective-C": 2, "Open as App Software": 2, "Optimization Software": 2, "Point Clouds": 2, "Product Roadmaps": 2, "Reliability": 2, "Rust": 2, "Scala": 2, "Software Development": 2, "Strategy": 2, "Strategy Execution": 2, "Technical Communication": 2, "Validation Framework": 2, "Web Applications": 2, "Pretraining": 2, "AI": 1, "AI Infrastructure": 1, "AI Systems": 1, "Accounts Receivable": 1}, "location country": {"United States": 49, "United Kingdom": 8}, "profession": {"software engineering": 41, "program management": 5, "product management": 3, "design & creative": 2, "research, applied, and data sciences": 2, "administration": 1, "business development & ventures": 1, "business operations": 1, "communications": 1}, "role type": {"individual contributor": 52, "people manager": 5}, "discipline": {"software engineering": 41, "program management": 5, "product management": 3, "design & creative": 2, "research, applied, and data sciences": 2, "administration": 1, "business development & ventures": 1, "business operations": 1, "communications": 1}, "locations": {"Remote": 999999, "Mountain View, CA, United States": 44, "Redmond, WA, United States": 22, "London, England, United Kingdom": 8, "New York, NY, United States": 3}}, "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": "Redmond, Washington, United States", "city": "Redmond", "state": "WA,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"}, {"location": "New York, NY, USA", "city": "New York", "state": "NY,US", "country": "US"}]}