ai research team 9m6i jobs in Microsoft

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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": 1747242559, "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": 1970324837015775, "name": "Business Program Manager - Health AI", "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": 1747328340, "t_create": 1747324558, "ats_job_id": 1970324837015775, "display_job_id": 1970324837015775, "type": "ATS", "id_locale": "1970324837015775-en", "job_description": "Overview At Microsoft AI, our health team is on a mission to help millions of users better understand and proactively manage their health and wellbeing. We\u2019re responsible for ensuring that Microsoft AI\u2019s models and services are useful, trusted and safe across diverse customer health journeys.\u00a0 The Microsoft Health AI team is looking for a Business Program Manager to work closely with evolving cross-functional teams to drive strategic initiatives, optimise operational processes, and contribute to our overall success.\u00a0 Across all our hires, it\u2019s important for colleagues to share our enthusiasm about the role of technology and AI in health and healthcare, but also appreciate the challenges and risks of delivering effective solutions in a complex and safety critical space. By design, we will remain a lean team (albeit within a much larger organisation), and as such you will need to be action orientated, self-sufficient and actively help to cultivate and promote a positive team culture.\u00a0 Microsoft\u2019s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Responsibilities Manage a dynamic portfolio of programs by tracking progress against milestones, monitoring resource allocation and dependencies, and facilitating prioritisation to ensure timely delivery and alignment with business objectives. Integrate and analyse market research and healthcare trends to generate actionable insights that inform strategic decisions, identify growth opportunities, refine program direction, and drive long-term impact. Identify opportunities for workflow improvements and automation that streamline operations, enhance efficiency, and drive scalability across workstreams. Develop, implement, and continuously refine the operational tools, trackers, and best practices that enable cross-functional teams to execute effectively. Anticipate, monitor, and mitigate operational risks and dependencies by acting as the central point of accountability to swiftly resolve issues and maintain program momentum. Produce high-quality reports, dashboards, and presentations that clearly communicate insights, recommendations, and progress updates to senior leadership and key stakeholders, ensuring the team remains informed and aligned. Engage in both high-level strategic planning and ground-level execution, championing a collaborative team culture that thrives in ambiguity, embraces innovation and continuous learning, and adapts to evolving challenges. Required Qualifications Bachelor's or higher degree in Medicine, Life Sciences, Business, Management or a related field AND/OR experience in program management, strategy, operations, consulting, or a related role, preferably within the healthcare or technology sectors. Knowledge of the healthcare market in US, UK and/or other major territories and understanding of the role technology and AI can play. Ability to produce high quality written and presentation materials with excellent attention to detail. Strong communication and presentation skills. Work at high speed with autonomy in a rapidly changing environment. Relish ambiguity/ uncertainty.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837015775", "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": 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": 1747286604, "t_create": 1742322530, "ats_job_id": 1970324837010441, "display_job_id": 1970324837010441, "type": "ATS", "id_locale": "1970324837010441-en", "job_description": "At Microsoft AI we are pushing the boundaries of technology. We are creating unique, beautiful and powerful products that will change lives. A small, friendly, fast-moving team, we support each other to do the best work of our lives, always looking to break new ground, fast. We are proud of what we build, how we build it and that our products will define the AI era. We run lean, obsess about users, and always make our decisions based on the evidence. We ship regularly, so your work will have real and immediate impact. It\u2019s a time of huge change in the AI landscape, and this role will put you right in the heart of it. We\u2019re on the lookout for a detail-oriented Language Engineer to help build the next wave of capabilities of our personal AI, Copilot. Language is an increasingly important modality for how we interact with computers. As an Language Engineer on the Copilot team, you will be responsible for how Copilot wields language. You will collaboratively work with data scientists, AI researchers, engineers, designers, and product managers to discover issues, define policy, evaluate language, collect data and ultimately improve the Large Language Models that power Copilot. We\u2019re looking for someone with a strong understanding of language principles, a passion for conversational AI, an abundance of positive energy, empathy, and kindness, in addition to being highly effective. The right candidate takes the initiative and enjoys building world-class consumer experiences and products in a fast-paced environment. Our newly formed organization, Microsoft AI (MAI), focuses on Copilot and other consumer AI products and research. We combine world-class AI research together with top notch design and product craft. The wider team is responsible for Copilot, Bing, Edge, and generative AI research, while the Mobile Engineering team is responsible for leading and building the mobile experience of Copilot on iOS and Android, collaborating closely with our Product Management, Design and AI Research teams. This role requires a balance of technical skills and effective people management skills. 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. By applying to this role based in U.S. Mountain View, CA, you are required to be local to the San Francisco area and in office 3 days a week. Responsibilities 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. Qualifications Required Qualifications: Bachelor's Degree AND 2+ years experience in linguistics, computer science, writing, editing, education, or library science. OR equivalent experience or research. Preferred Qualifications: 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\u00a0analyzing, 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. Product Management IC3 - The typical base pay range for this role across the U.S. is USD $98,300 - $193,200 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 $127,200 - $208,800 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. Product Management IC3 - The typical base pay range for this role across the U.S. is USD $98,300 - $193,200 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 $127,200 - $208,800 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": "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": 1747242513, "t_create": 1741217423, "ats_job_id": 1970324837009314, "display_job_id": 1970324837009314, "type": "ATS", "id_locale": "1970324837009314-en", "job_description": "APPLY FOR THIS JOB RIGHT NOW. Design & develop prompting techniques for emotional and intellectual use cases Establish frameworks for AI companions to navigate complex social and ethical situations with nuance and care Create evaluations to measure both technical/practical performance and non-deterministic performance like EQ Teach others prompting techniques and ways-of-working to elevate the prompting skill throughout the team Research & implement novel prompting techniques Embody our culture and values. 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