ai research team 9m6i jobs in redmond wa usa

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Create and implement comprehensive evaluation frameworks and red-teaming methodologies to assess model safety across diverse scenarios, edge cases, and potential failure modes. Build automated safety testing systems, generalize safety solutions into repeatable frameworks, and write efficient code for safety model pipelines and intervention systems. Maintain a user-oriented perspective by understanding safety needs from user perspectives, validating safety approaches through user research, and serving as a trusted advisor on AI safety matters. Track advances in AI safety research, identify relevant state-of-the-art techniques, and adapt safety algorithms to drive innovation in production systems serving millions of users. Embody our culture and values. 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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. 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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": 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": 1761338425, "t_create": 1750776899, "ats_job_id": 1970324837018176, "display_job_id": 1970324837018176, "type": "ATS", "id_locale": "1970324837018176-en", "job_description": "Leverage expertise to uncover potential risks and develop novel mitigation strategies, including data mining, prompt engineering, LLM evaluation, and classifier training. Create and implement comprehensive evaluation frameworks and red-teaming methodologies to assess model safety across diverse scenarios, edge cases, and potential failure modes. Build automated safety testing systems, generalize safety solutions into repeatable frameworks, and write efficient code for safety model pipelines and intervention systems. Maintain a user-oriented perspective by understanding safety needs from user perspectives, validating safety approaches through user research, and serving as a trusted advisor on AI safety matters Track advances in AI safety research, identify relevant state-of-the-art techniques, and adapt safety algorithms to drive innovation in production systems serving millions of users. 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 Experience prompting and working with large language models. Experience writing production-quality Python code. 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. 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Generalize machine learning (ML) solutions into repeatable frameworks. Lead evaluation efforts of models deployed within Copilot. Track advances in industry and academia, identifies relevant state-of-the-art research, and adapts algorithms and/or techniques to drive innovation and develop new solutions. Independently write efficient, readable, extensible code and model pipelines. Contribute to defining the model quality roadmap for Copilot, keeping in mind business and product goals. Commit to a customer-oriented focus by acknowledging customer needs and perspectives, and building AI products that delight customers. Bachelor's Degree in Computer Science or related technical field 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. 4+ years of data science experience (e.g., managing structured and unstructured data, applying machine learning techniques and driving product direction). Experience prompting, evaluating, and working with large language models. Experience writing production-quality Python code. Doctorate in Computer Science, Machine Learning, Human-Centered AI or related field AND 2+ year(s) experience (e.g., finetuning models with supervision or reinforcement learning, understanding and fixing data quality and curation, working with collaborators on creating new products). OR Master's Degree in Computer Science, Machine Learning, or related field AND 5+ years experience (e.g., managing structured and unstructured data, developing and debugging models, creating infrastructure for AI-powered products). OR Bachelor's Degree in Computer Science, Mathematics, Machine Learning, Physics, or related field AND 7+ years data-science experience (e.g., managing structured and unstructured data, applying machine learning techniques and driving product direction). Demonstrated engineering experience or research experience (e.g. creating or leading the creation of a feature in a different company, complex graduate work, research papers, or other experience). Demonstrated interest in interactive AI.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837030398", "isPrivate": false}, {"id": 1970324837113105, "name": "Senior Technical Program 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": 1761253751, "t_create": 1759759786, "ats_job_id": 1970324837113105, "display_job_id": 1970324837113105, "type": "ATS", "id_locale": "1970324837113105-en", "job_description": "Overview Join Microsoft AI (MAI), the team behind Copilot, Bing, MSN, Microsoft Advertising, and Edge, as we build transformative AI experiences. We\u2019re looking for a  Senior Technical Program Manager (TPgM)  to lead initiatives focused on\u00a0 model response quality  and broader program architecture, ensuring our AI systems deliver accurate, safe, and user-aligned outputs. You will also support cross-cutting efforts across Copilot, helping to design and scale operational frameworks.\u00a0You will\u00a0 own the end-to-end model feedback process , including coordination across Research, Engineering, Data, and Product teams. You\u2019ll drive improvements based on production usage, manage vendor relationships for human evaluation, and develop scalable feedback loops and infrastructure. While model response quality is the initial key focus, this role  will architect and operationalize scalable systems from the ground up\u2014designing durable frameworks, workflows, tooling and governance models  \u2014allowing the TPgM to contribute to broader programmatic efforts and evolving team needs. MAI operates with the agility and intensity of a startup\u2014fast-paced, iterative, and impact-driven. Success here requires a scrappy mindset: someone who thrives in ambiguity, takes initiative, and adapts quickly to shifting priorities. This role is ideal for a candidate who enjoys architecting solutions from the ground up, not just executing predefined tasks. If you\u2019re energized by ownership, innovation, and building frameworks that influence product direction, you\u2019ll feel right at home on our team. 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 Own the Model Feedback Lifecycle : Design and manage processes for collecting, triaging, and analyzing feedback from production usage. Build dashboards and reporting systems to surface insights and drive data-informed improvements to Copilot, addressing customer needs with high quality and efficiency. Identify and mitigate project risks to ensure successful outcomes. Cross-Team Coordination : Partner with Research, Engineering, Data, and Product teams to align on goals, identify opportunities for enhancing model performance, share learnings, and drive execution at scale. Vendor Management : Oversee external vendors for data labeling and human evaluation programs. Quality Frameworks : Build and run systems to assess and enhance model responses, such as annotation platforms and evaluation pipelines. Review performance metrics to find areas for improvement. Data-Driven Decision Making : Collaborate with analytics teams to define success metrics and correlate improvements to user impact. Operational Excellence : Manage all components of project planning, execution, and delivery by developing consistent processes that accommodate product complexity and organizational growth, ensuring coordination with overall product strategy and deadlines. Strategic Program Architecture:  Partner with other TPgMs and leadership to design scalable processes and frameworks that extend beyond model response quality, supporting evolving priorities across Copilot. Maintain a deep understanding of the latest advancements in AI and Machine Learning. Qualifications Required/minimum qualifications Bachelor's Degree AND 4+ years of experience in engineering, product/technical program management, data analysis, or product development OR equivalent experience. 2+ year(s) of experience managing cross-functional and/or cross-team projects. 2+ year(s) of experience leading AI-focused products or programs with direct involvement in model evaluation strategies (Evals), optimization through loss function analysis (Losses), or overseeing data collection pipelines to support scalable training and validation workflows (Data Collection). 2+ year(s) of experience reading and/or writing code (e.g., sample documentation, product demos). Additional or preferred qualifications Bachelor's Degree AND 8+ years of experience in engineering, product/technical program management, data analysis, or product development OR equivalent experience. 6+ years of experience managing cross-functional and/or cross-team projects. Prior exposure to Large Language Models (LLMs), model evaluation, or human-in-the-loop systems. Experience working in a startup-like environment. Technical Program Management IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year.\u00a0 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. Technical Program Management IC5 - The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 per year.\u00a0 There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay\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": "onsite", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837113105", "isPrivate": false}, {"id": 1970324837017107, "name": "Technical Program Manager, Platform", "location": "Redmond, Washington, United States", "locations": ["Redmond, Washington, United States"], "hot": 0, "department": "AI Research Team (9M6I)", "business_unit": "Microsoft AI (QIA5)", "t_update": 1761253986, "t_create": 1749164220, "ats_job_id": 1970324837017107, "display_job_id": 1970324837017107, "type": "ATS", "id_locale": "1970324837017107-en", "job_description": "Technical Program Ownership & Execution Proactively problem solve across engineering teams and shape architecture decisions, optimize system performance, and mitigate technical risks. Drive cross-functional technical initiatives in service of business goals, ensuring seamless integration across infrastructure, product features, and operational workflows. Continuously analyze and refine processes to improve efficiency, reduce costs, and enhance the user experience. Develop best practices and standard operating procedures (SOPs) for internal teams. Ensure measurable impact on quality, scalability, and user experience. Design best practices for program governance, ensuring compliance with security, privacy, and operational standards while balancing executional optimization. Act as a technical bridge between engineering, product management, and business teams, ensuring cohesive execution. Advocate for scalable development practices, balancing innovation with operational efficiency. Ensure project goals are achieved by their assigned date and maintain a sense of urgency to help the team stay focused on task completion. Bachelor's Degree AND 4+ years' experience in engineering, product/technical program management, data analysis, product development, or equivalent experience. 3+ years of experience leading cross-functional and/or cross-team projects with emphasis on technical infrastructure systems including popular collaboration tool stack technologies Proven experience leading large-scale projects, including system upgrades, tool administration and platform wide implementations. Hands-on experience with background in administering and optimizing internal tools in the areas of collaboration, program management and ticketing systems. Strong analytical skills, with expertise in data-driven decision-making and program optimization. Ability to navigate ambiguity, driving clarity and execution in a rapidly evolving tech landscape. Experience working with engineering teams, translating technical requirements into scalable implementations. Familiarity with cloud infrastructure, distributed systems, or platform engineering. Passion for learning new technologies and staying up to date with industry trends, best practices, and emerging technologies in web, mobile development, and AI. Ability to work in a fast-paced environment, manage multiple priorities, and adapt to changing requirements and deadlines.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837017107", "isPrivate": false}, {"id": 1970324837004151, "name": "Member of Technical Staff - Software Engineer ", "location": "Redmond, Washington, United States", "locations": ["Redmond, Washington, United States"], "hot": 0, "department": "AI Research Team (9M6I)", "business_unit": "Microsoft AI (QIA5)", "t_update": 1761259126, "t_create": 1736351962, "ats_job_id": 1970324837004151, "display_job_id": 1970324837004151, "type": "ATS", "id_locale": "1970324837004151-en", "job_description": "Develop and tune the pretraining scalable software for Nvidia GB200 72NVL CX8 and AMD MIxxx architectures. Benchmark GB200 and AMD MIxxx GPU clusters. Gather data and insights to develop the pretraining compute roadmap. Care deeply about conversational AI and its deployment. Actively contribute to the development of AI models that are powering our innovative products. 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 Cultureand Values. 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 Experience with generative AI. Experience with distributed computing. 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. 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