{"TALENT_ACQUISITION": {"themeOptions": {"name": "blue", "customTheme": {"customFonts": [{"fontFamily": "Segoe Sans", "src": "url('https://static.vscdn.net/images/careers/demo/microsoftai/1732737731::Segoe-sans.ttf')"}], "navbarTheme": {"textColor": "#262626", "textHoverColor": "#262626", "background": "#ffffff", "textHoverBackground": "#ffffffe6"}, "varTheme": {"font-family": "Segoe Sans"}}}}, "domain": "microsoftai.com", "configPath": "", "updatePath": "PCS>"} false
{"domain": "microsoftai.com", "user": "", "isWillingToRelocate": false, "isUserAuthenticated": false, "isUserETXCandidate": false, "isDomainETX": false, "isDomainVeteran": false, "signUpConfig": {}, "getHelpButton": {}, "isCareerPlannerEnabled": false, "enableRememberMeOption": false, "isMyApplicationsEnabled": false, "showVeteranEmployerSignUp": false, "enableUserPreferenceSelection": false, "isUserPreferenceApplied": false, "candidate": {"enc_id": 0, "fullname": "", "firstname": "", "lastname": "", "skills": [], "email": "", "phone": "", "location": "", "filename": null, "starred_positions": [], "resumeUrl": "", "onboardingCompleted": false, "isUserInPcsIjp": false, "linkedinUrl": ""}, "branding": {"advancedSearchOptions": [{"key": "skills", "name": "Skills"}, {"key": "work flex", "name": "Work Site"}, {"key": "profession", "name": "Profession"}, {"key": "role type", "name": "Role Type"}, {"key": "discipline", "name": "Discipline"}, {"key": "location country", "name": "Country"}], "redesignedNuxConfig": {"enabled": false}, "hideJobCart": true, "showUploadResumeModal": 0, "enableTalentNetwork": 1, "show_wizard": 0, "privacy": {"title": "Data Privacy Notice", "logged_out_notifications_text": " ", "text": "Your privacy is important to us. The personal data you provide will be processed by AI to enhance your experience. For more information, please see the <u><a class=\"msft-data-privacy-link\" href=\"http://go.microsoft.com/fwlink/?LinkId=518021\" target=\"_blank\">Microsoft Data Privacy Notice</a></u> and <u><a class=\"msft-data-privacy-link\" href=\"https://aka.ms/MAIHubTransparency\" target=\"_blank\">Transparency FAQ</a></u>.", "button": "I understand", "logged_out_notifications_privacy_policy_checkbox_default_state": true}, "homePageHeroBanner": {"opacity": 1, "image": "https://static.vscdn.net/images/careers/demo/microsoft-ai-sandbox/1731551848::pcsbanner", "title": "Get personalized job recommendations", "hideInMobileView": false}, "navBar": {"color": "#ffffff", "image": "https://static.vscdn.net/images/careers/demo/microsoft-ta2-dev-sandbox/1719948341::1714657312__msft_logo.png", "link": "http://eightfold.ai", "background": "#0346A2", "opacity": 1}, "uploadResumeModal": {"title": "Welcome to {company_name}'s Career Center", "subtitle": "Streamline your search by uploading your resume to be matched with positions that best suit your qualifications.", "disclaimer": "**Uploading a resume is not a formal application for employment**"}, "custom_style": {"css": ".nav-item a { color: #fff !important;} .refer .user-name { color: #fff !important; } .fixed-top { background-color: #000 !important; } .position-job-description .block__field--wide-rich-text { width: inherit !important; } nav.navbar { display: none !important; }\n.msft-accessiblity-link {color: #5c1b86; text-decoration:underline} .msft-data-privacy-link {color: #5c1b86; text-decoration:underline} .position-job-description a { color: #5c1b86 !important; text-decoration:underline !important }"}, "page_image": "", "max_applications_refer": 0, "max_applications_apply": 20, "custom_head_scripts": {"HOME_PAGE_LOAD": "<script>$(\"#pcs-body-container\").removeClass(\"without-hero-image\");\n $(\"nav.navbar\").hide();\n $('.hero-image').hide();\n $('.language-selection').hide();\n$('.language-selection').css('display', 'none');</script>", "SINGLE_POSITION_PAGE_LOAD": "<script>$(\"#pcs-body-container\").removeClass(\"without-hero-image\");\n $(\"nav.navbar\").hide();\n $('.hero-image').hide();\n $('.language-selection').hide();\n$('.language-selection').css('display', 'none');</script>"}, "applyButton": {"background": "#5c1b86"}, "customContent": {"positionSections": [{"body": "Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about <a class=\"msft-accessiblity-link\" href=\"https://careers.microsoft.com/v2/global/en/accessibility.html\" target=\"_blank\">requesting accommodations</a>.", "title": ""}]}, "job_insights_display": {"hide": true}, "hide_matched_section": true, "PersonalizationBar": {"hide_find_jobs_button": true}, "custom_html": {"header": "<div id=\"configurable-navbar\"></div>", "footer": "<footer></footer>", "page-footer": "<div></div>"}, "recaptcha_enabled": 1, "companyName": "Microsoft", "showLoggedOutNotificationsPrivacyPolicy": true, "hideEightfoldBranding": false}, "positions": [{"id": 1970324837011532, "name": "Senior Product Manager, Copilot AI", "location": "Redmond, Washington, United States", "locations": ["Redmond, Washington, United States"], "hot": 0, "department": "AI Research Team (9M6I)", "business_unit": "Microsoft AI (QIA5)", "t_update": 1746046904, "t_create": 1743115716, "ats_job_id": 1970324837011532, "display_job_id": 1970324837011532, "type": "ATS", "id_locale": "1970324837011532-en", "job_description": "Identifying and prioritizing language model issues that impact quality, factuality and safety and working with engineers and researchers to find a path to resolution. Identifying and executing on strategies to improve grounding of language models with information retrieval. Engineering prompts to teach language models how to behave across a wide range of scenarios. Defining measurable evaluations that use technical and product metrics to demonstrate quality improvements. Creating novel data collection tasks for taskers to evaluate language models. Working closely with researchers and engineers to define and manage engineering and research projects. Deploying and tracking AB model experiments in production. Being accountable to own the status of key projects, proactively identifying risks and proposing solutions to ensure timely delivery. Embodying our Culture and Values. Bachelor's Degree AND 5+ years experience in product/technical program management or software development OR equivalent experience. 3+ years of experience leading multi-disciplinary projects, defining requirements, developing project plans and working with multi-disciplinary teams to execute them. Experience in building ML-powered or LLM-powered products. 3+ years of experience shipping consumer-facing products. You've brought products to market, collected user feedback, defined success metrics and iteratively improved products. 3+ years of experience in building search products or search-powered products. Familiarity and experience with information retrieval techniques for language models. Technical depth in software development, data science and machine learning. While you are not expected to write code on the critical path, you're able to define and execute on zero-to-one prototypes, reason over large amounts of data, and speak the language of the engineers and researchers you work with. Experience using and applying Large Language Models. LLMs will be your clay - you should know how to prompt engineer them, how to evaluate them, and understand how they are tuned.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837011532", "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": 1746644376, "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": 1745869364, "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": 1970324837015629, "name": "Technical Program Manager, AI Data Quality", "location": "Mountain View, California, United States", "locations": ["Mountain View, California, United States"], "hot": 0, "department": "AI Research Team (9M6I)", "business_unit": "Microsoft AI (QIA5)", "t_update": 1747154042, "t_create": 1747149685, "ats_job_id": 1970324837015629, "display_job_id": 1970324837015629, "type": "ATS", "id_locale": "1970324837015629-en", "job_description": "Overview As an AI Data Quality Technical Program Manager, you will work at the nexus of data creation, AI model development, and third-party partners. You will be responsible for ensuring that our research data needs are being met and that our data creation vendors are providing high-quality, high-value and compliant data to support our research priorities.\u00a0\u00a0 We are seeking a highly analytical and detail-oriented AI training data quality assurance (QA) specialist with a strong background in coding + STEM, phenomenal attention to detail, and program management experience to ensure the quality and integrity of data creation and annotation work performed by Microsoft partners. This individual will play a key role in defining data collection requirements, reviewing and validating complex annotations, ensuring alignment with project guidelines, building instructions and guidelines to annotators, actively enhancing coordination with vendors, giving feedback to vendors, and supporting the continuous improvement of data quality processes that result in improved model training and evaluation. This role will involve deep interaction with senior AI scientists across Microsoft AI.\u00a0 Microsoft\u2019s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.\u00a0 By applying to this\u202frole based in\u202fU.S. Mountain View, CA. You\u202fare required to\u202fbe local to the San Francisco area and be in office 3 days a week. Responsibilities Help drive overall data creation and vendor management strategy.\u00a0 Perform quality assurance checks on vendor-provided coding, STEM, RLHF, and other data collection types.\u00a0 Collaborate with internal teams and vendors to define quality metrics and resolve discrepancies.\u00a0 Develop and maintain data annotation instructions, guidelines and templates.\u00a0\u00a0 Provide detailed feedback and coaching to vendors to uphold high-quality standards.\u00a0 Identify systemic quality issues and drive root-cause analysis and resolution plans.\u00a0 Support program management of annotation workflows, timelines, and priorities.\u00a0 Monitor progress and help track key performance indicators (KPIs) related to QA.\u00a0 Participate in designing and improving annotation tooling and platform for QA features.\u00a0\u00a0 Help ensure the safe, compliant, responsible, and agile use of data to support our research priorities.\u00a0 Help other Microsoft AI building teams access data for training as needed. Embody our Culture and Values .\u00a0\u00a0 Qualifications Required Qualifications: Bachelor\u2019s Degree in Computer Science, Mathematics, Engineering, or a related technical field AND at least 6 years' experience in STEM and Code data creation efforts that involve complex QA and program management OR \u00a0Master\u2019s Degree in Computer Science, Mathematics, Engineering, or a related technical field AND at least 4 years' experience in STEM and Code data creation efforts that involve complex QA and program management, or equivalent experience\u00a0 OR equivalent experience\u00a0 4+ years of experience in leading multi-disciplinary projects, defining requirements, developing project plans and working with technical teams to execute them\u00a0 Excellent attention to detail and critical thinking skills\u00a0 Solid understanding of programming concepts, data structures, and algorithms.\u00a0 Experience in managing and goal tracking data collection or other equivalent programs\u00a0\u00a0 Experience in coding, or technical program management.\u00a0 Strong LLM practitioner, who frequently uses LLMs and understands how training data is used to improve them\u00a0 Solid communication and collaboration skills, with the ability to give clear, constructive feedback.\u00a0 Preferred Qualifications PhD. in a relevant field AND at least 6 years' experience in STEM and Code data creation efforts that involve complex QA and program management, or equivalent experience.\u00a0 6+ years' experience managing cross-functional and/or cross-team projects.\u00a0 Familiarity with Python, SQL, JS or other programming languages used in data annotation.\u00a0 Background in educational content, coding assessments, or STEM domains.\u00a0 Experience working with data labeling platforms and quality monitoring tools.\u00a0 Technical Program Management 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\u00a0\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": "hybrid", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837015629", "isPrivate": false}, {"id": 1970324837012623, "name": "Senior Technical Program Manager, Copilot AI", "location": "Mountain View, California, United States", "locations": ["Mountain View, California, United States", "Redmond, WA, USA"], "hot": 0, "department": "AI Research Team (9M6I)", "business_unit": "Microsoft AI (QIA5)", "t_update": 1746127590, "t_create": 1744236876, "ats_job_id": 1970324837012623, "display_job_id": 1970324837012623, "type": "ATS", "id_locale": "1970324837012623-en", "job_description": "Are passionate about managing high stakes time-sensitive programs. Are keenly aware and able to manage timelines and schedules of mission critical launches. Take the initiative and enjoy building world-class consumer experiences and products in a highly collaborative, fast-paced environment. Savvy with data and deriving insights from pre-flight evaluations, post-flight scorecards and assist in determining launch decisions. Bring an abundance of positive energy, empathy, and kindness, in addition to being highly effective. Effectively manage multiple responsibilities and can adjust to shifting priorities. Bachelor's Degree AND 4+ years experience in product/technical program management or software development OR equivalent experience. 2+ years of experience leading multi-disciplinary projects, defining requirements, developing project plans and working with multi-disciplinary teams to execute them. Experience in coordinating ML-powered products. 3+ years of experience in managing experiments and launches of language model and prompt experiments. Technical depth in software development, data science and machine learning. While you are not expected to write code on the critical path, you're able to execute on prototypes, reason over large amounts of data, and speak the language of the engineers and researchers you work with. Orchestrate AI Launches: Manage, coordinate and execute end-to-end release management of large-scale AI experiments and launches, specifically focused on language models and prompts, ensuring our Copilot experiences are delivered on time and with high quality. Champion Product Quality: Define and refine evaluations and best practices to detect issues early and maintain robust product quality for users worldwide. Coordinate Cross-Team Collaboration: Work closely with engineering, data science, and product stakeholders to align on goals, track deliverables, and communicate status updates effectively. Leverage Data & Insights: Collaborate with analytics teams to define key success metrics, analyze pre-flight evaluations and experimentation scorecards, correlate improvements to usage, and influence roadmaps based on data-driven insights. Foster a Growth Mindset: Mentor team members, share best practices, and cultivate a culture where everyone feels empowered to innovate, learn, and grow. Embody our Culture and Values.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837012623", "isPrivate": false}, {"id": 1970324837011498, "name": "Technical Product Manager, AI Multimodal", "location": "London, London, City of, United Kingdom", "locations": ["London, London, City of, United Kingdom"], "hot": 0, "department": "AI Research Team (9M6I)", "business_unit": "Microsoft AI (QIA5)", "t_update": 1746843660, "t_create": 1743085850, "ats_job_id": 1970324837011498, "display_job_id": 1970324837011498, "type": "ATS", "id_locale": "1970324837011498-en", "job_description": "Deeply understand the pipeline of collecting data, training and then serving language models and multimodal models Have experience in working side-by-side with researchers and engineers Thrive in a fast-paced, innovative environment Are passionate about managing high stakes time-sensitive large-scale programs Take the initiative and enjoys finding paths through complexity in a fast-paced environment Are comfortable owning projects that span offices, teams and time zones, can co-ordinate different workstreams, and drive to relentlessly unblock progress Demonstrate a proactive attitude and enthusiasm for exploring new methods and technologies Minimum of Bachelor's Degree AND experience in working with AI researchers, product/technical program management, data analysis, or product development OR equivalent experience. Experience managing cross-functional and/or cross-team projects. Proven track record as a Product Manager with first-hand experience evaluating and deploying LLMs into production. Experience working side-by-side with Researchers and/or Engineers Identifying and prioritizing language and multimodal model issues and working with researchers to find a path to resolution. Creating novel data collection tasks for taskers to evaluate models and to collect training data for fine-tuning. Creating model prototypes to prove out new feature directions and scope projects. Engineering prompts to teach models how to behave across a wide range of scenarios. Working closely with researchers and engineers to define and manage engineering and research projects. Deploying and tracking AB model experiments in production Foster a culture of collaboration, continuous improvement, and growth. 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": "hybrid", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837011498", "isPrivate": false}, {"id": 1970324837010714, "name": "Technical Program Manager, AI Multimodal ", "location": "London, London, City of, United Kingdom", "locations": ["London, London, City of, United Kingdom"], "hot": 0, "department": "AI Research Team (9M6I)", "business_unit": "Microsoft AI (QIA5)", "t_update": 1745924512, "t_create": 1742495026, "ats_job_id": 1970324837010714, "display_job_id": 1970324837010714, "type": "ATS", "id_locale": "1970324837010714-en", "job_description": "Deeply understand the pipeline of collecting data, training and then serving language models and multimodal models; Have experience in working side-by-side with researchers and engineers; Thrive in a fast-paced, innovative environment; Are passionate about managing high stakes time-sensitive large-scale programs; Take the initiative and enjoys finding paths through complexity in a fast-paced environment; Are comfortable owning projects that span offices, teams and time zones, can co-ordinate different workstreams, and drive to relentlessly unblock progress; Demonstrate a proactive attitude and enthusiasm for exploring new methods and technologies. Bachelor's Degree AND experience in working with AI researchers, product/technical program management, data analysis, or product development OR equivalent experience. Co-ordinate projects and programs including all elements of end-to-end project planning, timelines, milestones, performance metrics, and resource needs for programs and product cycles. Leverage data and analytics to identify opportunities for improvement, track progress, and measure the impact of quality and efficiency programs on key metrics. Foster a culture of collaboration, continuous improvement, and growth. Accountable to own the status of key projects, proactively identifying risks and proposing solutions to ensure timely delivery. Communicate program strategies, progress, and results to executive leadership and key stakeholders, advocating for the quality and efficiency function within the team. 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": "hybrid", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837010714", "isPrivate": false}, {"id": 1970324837010441, "name": "Language Engineer", "location": "Mountain View, California, United States", "locations": ["Mountain View, California, United States"], "hot": 0, "department": "AI Research Team (9M6I)", "business_unit": "Microsoft AI (QIA5)", "t_update": 1746221361, "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": 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": 1744732634, "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": 1970324837009205, "name": "Product Manager - Copilot", "location": "Mountain View, California, United States", "locations": ["Mountain View, California, United States", "Redmond, WA, USA"], "hot": 0, "department": "AI Research Team (9M6I)", "business_unit": "Microsoft AI (QIA5)", "t_update": 1745256635, "t_create": 1741113408, "ats_job_id": 1970324837009205, "display_job_id": 1970324837009205, "type": "ATS", "id_locale": "1970324837009205-en", "job_description": "Drive building world-class AI applications that will delight consumers across Copilot, Edge, Bing, Windows and Mobile. Own a product area and be responsible for understanding user needs and behaviors, defining product requirements, managing end-to-end product development, launches and iterations. 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. Translate business goals into strategy, user experience and technical requirements in close collaboration with UX designers and AI model training teams. Define goals and performance indicators, set up and oversee experiments, measure success with data and research. Collaborate effectively and communicate clearly with cross-functional teams, including product managers, designers, and other engineers, to build exceptional consumer-grade applications. Embody our Culture and Values. Bachelor's Degree AND 5+ years experience in product management Experience leading product teams building consumer products. Bachelor's Degree AND 8+ years of experience in product management OR equivalent experience. Track record of creating design-driven consumer products from concept to launch and finding product market fit. Experience leading product teams building consumer products in personal productivity, search, education or messaging. Experience building consumer products leveraging Machine Learning or Large Language Models. 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. Experience with data analytics and experimentation tools. Working knowledge of SQL and coding skills (Python, Javascript).", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837009205", "isPrivate": false}], "debug": {}, "count": 21, "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": "ai research team 9m6i ", "location": "", "department": [], "skill": [], "seniority": [], "pid": "", "work flex": [], "skills": [], "location country": [], "profession": [], "role type": [], "discipline": []}, "userTitles": [], "isThinProfile": false, "veteranProgramDetails": [], "enableTargetedResume": 0, "jobCardConfig": null, "facetDisplaySort": {"work flex": "count_desc", "skills": "count_desc", "location country": "count_desc", "profession": "count_desc", "role type": "count_desc", "discipline": "count_desc", "locations": "count_desc"}, "facets": {"work flex": {"microsoft on-site only": 55, "up to 50% work from home": 16, "up to 100% work from home": 1}, "skills": {"Artificial Intelligence": 26, "Machine Learning": 21, "Python": 19, "Engineering": 16, "Java": 16, "Computer Science": 12, "Scaling": 11, "User Experience": 11, "API": 10, "Design": 10, "Teamwork": 10, "Collaboration": 9, "JavaScript": 9, "Language Modeling": 9, "Scalability": 9, "Cross-Functional Collaborations": 8, "Product Management": 8, "Algorithms": 7, "Amazon Web Services (AWS)": 7, "C++": 7, "Infrastructure": 7, "Product Development": 7, "Software Development": 7, "Software Engineering": 7, "AI": 6, "Communication": 6, "Distributed Systems": 6, "Experimentation": 6, "Program Management": 6, "TypeScript": 6, "Coding": 5, "Cross Functional Skills": 5, "Data Science": 5, "Generative AI": 5, "Innovation": 5, "Kubernetes": 5, "Rust": 5, "Search": 5, "Android": 4, "Architecture": 4, "LLM": 4, "Research": 4, "Revenue Management": 4, "Clear Pipelines": 3, "Cloud Infrastructure": 3, "Data Pipelines": 3, "Linguistics": 3, "ML/I": 3, "Messaging": 3, "Product Roadmaps": 3, "React": 3, "SQL": 3, "Security": 3, "Spark": 3, "Strategy": 3, "Technical Communication": 3, "Testing": 3, "C#": 2, "CSS": 2, "Continuous Improvement": 2, "Cross-Functional Team Leadership": 2, "Data Analysis": 2, "Data Collection": 2, "Data Engineering": 2, "Data Flow": 2, "Data Processing": 2, "Deployments": 2, "Design Patterns": 2, "Entrepreneurship": 2, "Fine Tuning": 2, "GPU Optimization": 2, "Git": 2, "Healthcare Technology": 2, "High Performance Computing": 2, "Key Value Stores": 2, "Kotlin": 2, "Leadership": 2, "Mobile App Development": 2, "Mobile Application Platform": 2, "Mobile Architecture": 2, "Objective-C": 2, "PHP": 2, "Product Strategy": 2, "Project Management": 2, "Scala": 2, "Show Production": 2, "Strategy Execution": 2, "Web Applications": 2, "Web Development": 2, "Web Services": 2, "iOS": 2, "iOS Development": 2, "Multimodal": 2, "Pretraining": 2, "Prompting": 2, "AI Infrastructure": 1, "AI Systems": 1, "ASP.NET": 1, "Accounts Receivable": 1, "Adaptability": 1}, "location country": {"United States": 60, "United Kingdom": 12}, "profession": {"software engineering": 46, "product management": 10, "program management": 7, "research, applied, and data sciences": 3, "administration": 2, "design & creative": 2, "business development & ventures": 1, "legal & corporate affairs": 1}, "role type": {"individual contributor": 66, "people manager": 6}, "discipline": {"software engineering": 46, "product management": 10, "program management": 7, "research, applied, and data sciences": 3, "administration": 2, "business development & ventures": 1, "design & creative": 1, "legal & corporate affairs": 1, "product design": 1}, "locations": {"Remote": 999999, "Mountain View, CA, United States": 49, "Redmond, WA, United States": 31, "London, England, United Kingdom": 12, "New York, NY, United States": 5, "Boulder, CO, United States": 1, "Washington, DC, United States": 1}}, "isSubQuery": false, "showBusinessUnitInPositionSidebar": false, "hideDepartment": null, "iframeImplementation": null, "pcsTextConfiguration": {}, "facetNoTitlecase": null, "skipCSSFacetCapitalization": false, "enableMapClustering": false, "readmoreInstructionEnabled": false, "candidateLogin": {}, "isHomePageLoad": false, "candidateBuildProfile": {}, "chatbot": false, "enabledPersonalizedFeatures": {"recommendationFeedback": false, "tldr": true, "personalizationPreferences": false}, "installed_app_data": [], "enhancementsEnabled": false, "disableAutoScrollOnPositionSelect": false, "locationDistanceKmDefault": 100, "searchFiltersTranslationWhitelist": [], "customJobDescTranslationSkipList": [], "enableCandidateReferralFlow": false, "showBanner": false, "pcsBannerMessage": null, "locationRadiusConfig": {"showLocationRadius": false, "locationRadiusType": "mi"}, "pcsApplyFormV2Enabled": true, "isPcsBrandingApril2023Enabled": false, "allowedFileTypes": {}, "pcsOctupleMigration0Enabled": true, "pcsOctupleMigration1Enabled": false, "replaceUrlOnGoBack": true, "pcsRedesignedNuxEnabled": false, "userActivityTimeout": 86400000, "userActivityTimeoutEnabled": 1, "isLoggedInPcsEnabled": false, "sortByConfig": null, "searchBoxConfig": {}, "excludePrivatePositions": true, "eeocFilterKeywords": ["veteran", "disability", "gender", "race", "citizen", "visa", "ethnicity"], "disableScrollLoadPositionSidebar": false, "locationFlexibilityFrontendEnabled": false, "workLocationOptionFrontendEnabled": true, "remoteFlexibleJobsFilterEnabled": false, "loggedOutNotificationsEnabled": true, "prepopulateApplyFormEnabled": true, "prepopulateSettings": {"inferEEOQuestions": false, "showPrepopulateCheckbox": true, "defaultPrepopulateCheckboxValue": true, "showClearForm": true, "prepopulateCheckboxText": "Save my answers for future applications"}, "themeBuilderUser": null, "mandatoryFields": ["firstname", "lastname", "email", "phone"], "blindfoldWidgetPcsGate": false, "pcsApplyFormLocationGate": false, "t3sEnabled": true, "uploadApplicationAnswers": false, "candidateAuthV2Enabled": true, "preApplicationSubmitAuthEnabled": false, "applyFormV2Enabled": false, "loggedOutSavedSearchEnabled": false, "locationRadiusTypeToggleEnabled": true, "incompleteApplicationsEnabled": false, "incompleteApplicationConfig": {}, "fallbackPcsJdGate": true, "enableResumeCoach": false, "isPcsEnabled": true, "applicationInfoReviewEnabled": false, "phoneWithCountryCodeEnabled": true, "phoneWithCountryCodeJTNEnabled": false, "notificationSuggestVerificationToken": null, "cookiesAutoDisabled": false, "strictEmailValidationEnabled": true, "chatbotxConfig": {"enabled": false, "featureAccessFlags": {"resumeCoachCardFlags": {"showApplyWithResume": true, "showEditResume": true}, "positionCardFlags": {"showAddToJobCart": false}}}, "pcsOptionalResumeWithJobcartGate": false, "loggedInCandidate": {}, "hamburgerMenuEnabled": false, "sharedTalentPoolGate": false, "pcsAccessibilityHomeEnabled": true, "pcsAccessibilityApplyFormEnabled": true, "showLanguageDropdown": false, "languages": [{"value": "en", "title": "English"}, {"value": "it", "title": "Italiano"}, {"value": "es", "title": "Espa\u00f1ol"}, {"value": "fr", "title": "Fran\u00e7ais"}, {"value": "pt", "title": "Portugu\u00eas"}, {"value": "nb", "title": "Norsk"}, {"value": "de", "title": "Deutsch"}, {"value": "ja", "title": "\u65e5\u672c\u8a9e"}, {"value": "ms", "title": "Bahasa melayu"}, {"value": "zh-CN", "title": "\u4e2d\u6587 (\u7b80\u4f53)"}, {"value": "zh-TW", "title": "\u4e2d\u6587 (\u7e41\u9ad4)"}, {"value": "ko", "title": "\ud55c\uad6d\uc5b4"}, {"value": "th", "title": "\u0e20\u0e32\u0e29\u0e32\u0e44\u0e17\u0e22"}, {"value": "nl", "title": "Nederlands"}, {"value": "pl", "title": "Polski"}, {"value": "uk", "title": "Y\u043a\u0440\u0430\u0457\u043d\u0441\u044c\u043a\u0430"}, {"value": "hr", "title": "Hrvatski"}, {"value": "el", "title": "\u0395\u03bb\u03bb\u03b7\u03bd\u03b9\u03ba\u03ac"}, {"value": "hu", "title": "Magyar"}, {"value": "cs", "title": "\u010de\u0161tina"}, {"value": "tr", "title": "T\u00fcrk\u00e7e"}, {"value": "ru", "title": "P\u0443\u0441\u0441\u043a\u0438\u0439"}, {"value": "ht", "title": "Haitian"}, {"value": "he", "title": "\u05e2\u05d1\u05e8\u05d9\u05ea"}, {"value": "pt-BR", "title": "Brazilian Portugu\u00eas"}, {"value": "da", "title": "Dansk"}, {"value": "fi", "title": "Suomi"}, {"value": "sv", "title": "Svenska"}, {"value": "fr-CA", "title": "Fran\u00e7ais (Canada)"}, {"value": "pt-PT", "title": "portugu\u00eas (Portugal)"}, {"value": "vi", "title": "Ti\u1ebfng Vi\u1ec7t"}, {"value": "ro", "title": "rom\u00e2n\u0103"}, {"value": "bg", "title": "\u0431\u044a\u043b\u0433\u0430\u0440\u0441\u043a\u0438"}, {"value": "ar", "title": "\u0627\u0644\u0639\u0631\u0628\u064a\u0629"}], "displayLanguage": "en", "requestLocation": false, "positionQnAEnabled": false, "singlePageCareersNavbarGate": false, "advancedOptionsA11yGate": false, "positionSidebarScrollResetGate": false, "pcsApplyFormFileAnswerGate": false, "all_applicable_locations": []} {"display_banner": false, "display_text": ""}
.nav-item a { color: #fff !important;} .refer .user-name { color: #fff !important; } .fixed-top { background-color: #000 !important; } .position-job-description .block__field--wide-rich-text { width: inherit !important; } nav.navbar { display: none !important; } .msft-accessiblity-link {color: #5c1b86; text-decoration:underline} .msft-data-privacy-link {color: #5c1b86; text-decoration:underline} .position-job-description a { color: #5c1b86 !important; text-decoration:underline !important }