Microsoft jobs in redmond washington united states

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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. 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. Demonstrated interest in Responsible AI.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "hybrid", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837029176", "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": 1763414092, "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": 1970324837085083, "name": "Member of Technical Staff, Data Research Engineer", "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": 1764870539, "t_create": 1758301120, "ats_job_id": 1970324837085083, "display_job_id": 1970324837085083, "type": "ATS", "id_locale": "1970324837085083-en", "job_description": "Overview We are seeking  Data Research Engineers  to join our  Multimodal team , where we are building the next generation of foundation models across vision, language, audio, and beyond. If you are passionate about exploring, designing, and building high-quality datasets to drive frontier AI models, this role is for you. At Microsoft AI, data is at the heart of innovation\u2014and in this role, you will collaborate closely with scientists, engineers, and annotators to curate, analyze, and evaluate diverse multimodal data sources critical to model development. You\u2019ll lead efforts in developing novel data collection strategies, improving dataset quality, understanding data-driven model behaviors, and aligning datasets with ethical and societal values. This is a cross-disciplinary, high-impact role ideal for engineers who want to push the boundaries of what AI can learn from data, especially in multimodal contexts.\u00a0 Microsoft\u2019s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Starting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location. This expectation is subject to local law and may vary by jurisdiction. Responsibilities Create high-quality datasets for training and evaluation; run experiments on new datasets (data ablations) to assess their impact and determine the most effective data Develop and maintain scalable data pipelines for multimodal ingestion, preprocessing, filtering, and annotation Analyze real-world multimodal datasets to assess quality, diversity, relevance, and identify areas for improvement Build lightweight tools and workflows for dataset auditing, visualization, and versioning Collaborate with Safety, Ethics, and Governance teams to ensure datasets meet standards for quality, privacy, and responsible AI practices Qualifications Required Qualifications: Bachelor's Degree in\u00a0AI, Computer Science, Data Science, Statistics, Physics, Engineering, or a related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, Python and common data libraries (Pandas, NumPy, etc.) OR equivalent experience 2+ years of experience in data analysis or data engineering Proficiency in statistics and exploratory data analysis methods Ability to communicate technical findings effectively to research and product teams Preferred Qualifications: Master's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, Python and common data libraries (Pandas, NumPy, etc.) OR Bachelor's Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, Python and common data libraries (Pandas, NumPy, etc.) OR equivalent experience. Familiarity with data processing frameworks such as Spark, Ray, Apache Beam Experience working with large-scale, real-world datasets that are unstructured or semi-structured Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year.\u00a0There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 - $258,000 per year. Software Engineering IC5 - The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 per year.\u00a0There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:  https://careers.microsoft.com/us/en/us-corporate-pay\u00a0\u00a0 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/1970324837085083", "isPrivate": false}, {"id": 1970324837004332, "name": "Member of Technical Staff, AI Product Engineer, iOS", "location": "Mountain View, California, United States", "locations": ["Mountain View, California, United States", "Redmond, WA, USA"], "hot": 0, "department": "SAN Management (C72N)", "business_unit": "Microsoft AI (QIA5)", "t_update": 1760148578, "t_create": 1736525131, "ats_job_id": 1970324837004332, "display_job_id": 1970324837004332, "type": "ATS", "id_locale": "1970324837004332-en", "job_description": "Care deeply about building outstanding consumer-grade mobile applications. Build consumer grade applications for iOS. Ship high-quality, well-tested, secure, and maintainable code. Work collaboratively with our Designers, Product Managers, and AI Researchers to take ambiguous projects and mold them into amazing experiences. Find a path to get things done despite roadblocks to get your work into the hands of users quickly and iteratively. Enjoy working in a fast-paced, design-driven, product development cycle. Embody our Culture and Values. Bachelor's degree in computer science, or related technical discipline AND 4+ years technical engineering experience developing mobile applications for iOS platforms with coding in languages including, but not limited to, Swift, Objective-C, or Java OR equivalent experience. Working knowledge of mobile application architecture, design patterns, and UI/UX principles. Contributions to open-source projects. Experience building iOS applications from scratch. 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 mobile development and AI. 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/1970324837004332", "isPrivate": false}, {"id": 1970324837008310, "name": "Principal Growth Product Manager - Copilot", "location": "Mountain View, California, United States", "locations": ["Mountain View, California, United States", "Redmond, WA, USA"], "hot": 0, "department": "Copilot (P0PS)", "business_unit": "Microsoft AI (QIA5)", "t_update": 1761842923, "t_create": 1740168774, "ats_job_id": 1970324837008310, "display_job_id": 1970324837008310, "type": "ATS", "id_locale": "1970324837008310-en", "job_description": "Develop the product strategy and vision for Copilot consumer offerings across multiple surfaces and capabilities. Create zero to one products that transform cutting-edge AI capabilities into world-class applications of LLM. Own a product area and be responsible for understanding user needs and behaviors, defining product requirements, and managing end to end product development, launches, and iterations. Establish clear goals and performance metrics, design experiments, and measure success through data analysis and research insights. Spearhead complex cross-functional initiatives with effective stakeholder management, communication, and storytelling. 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, collaborative product development environment. Embody our Culture and Values. Bachelor's Degree AND 8+ years experience in product management OR equivalent experience. Track record of leading product teams building 0 to 1 consumer products, finding product market, and achieving scale. Demonstrated success building consumer products that leverage Machine Learning or Large Language Models (LLMs). Experience as a startup founder is a plus. Proven track record as a product manager with firsthand experience prompting, evaluating, and deploying LLM applications into production. Have experience in working side-by-side with AI researchers and engineers. Experienced in concurrently driving multiple high stakes, time sensitive projects that span teams and time zones. Ability to work in a fast-paced environment and adapt to changing requirements and deadlines. Demonstrate a proactive attitude and enthusiasm for exploring new methods and technologies. Visionary but pragmatic. You can develop a vision and also lay out clear steps to get there. Working knowledge of SQL and coding skills (Python, Javascript) is a plus.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "hybrid", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837008310", "isPrivate": false}, {"id": 1970324837116763, "name": "Senior Technical Program Manager, Copilot Voice & Vision", "location": "Mountain View, California, United States", "locations": ["Mountain View, California, United States", "Redmond, WA, USA"], "hot": 0, "department": "SAN Management (C72N)", "business_unit": "Microsoft AI (QIA5)", "t_update": 1761962903, "t_create": 1760047055, "ats_job_id": 1970324837116763, "display_job_id": 1970324837116763, "type": "ATS", "id_locale": "1970324837116763-en", "job_description": "Own and manage the back-end infrastructure for the Copilot Voice & Vision stack, applying technical expertise in modern web stacks, networking, and large language model (LLM) serving. Serve and operate live voice and vision endpoints, including planning for Site Reliability Engineering (SRE) and on-call coverage, while monitoring and improving service quality metrics. Apply a deep understanding of multimodal LLMs\u2014including differences from text models, evaluation methods, and prompting strategies\u2014to inform product and engineering decisions. Support upstream customer teams as they develop new features on the Voice & Vision stack by understanding requirements, guiding teams to existing solutions, or scoping and delivering new features in collaboration with engineering. Collaborate with client engineers and data teams to ensure proper instrumentation for quality-of-life (QoL) metrics, enabling effective monitoring, assessment, and evaluation of new features and end-product quality. Partner with marketing to align product readiness with planned launches, proactively identifying risks, and tracking metrics that demonstrate business and user impact. Manage and prioritize the backlog of tasks across multiple teams, balancing product improvements, backend initiatives, customer feature requests, and triaging inbound bugs and support requests. Integrate with broader organizational processes such as cycle planning, RAG status updates, and weekly quality reviews (WQR) to ensure seamless alignment with company-wide operational rhythms. Lead capacity planning for efficient resource utilization, assessing the impact of new features from both the V&V team and upstream customer teams, and securing additional capacity as needed. Bachelor's Degree AND 4+ years experience in engineering, product/technical program management, data analysis, or product development OR equivalent experience. 2+ years of experience managing cross-functional and/or cross-team projects. 3+ years of experience working with modern web stacks (such as Node.js, Python, or .NET), networking protocols, or deploying or serving large language models (LLMs) in a production environment. 3+ years of experience designing, developing, or deploying voice and/or vision solutions in production environments (such as speech recognition, voice assistants, computer vision, or multimodal AI applications). Bachelor's Degree AND 8+ years experience 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. Experience developing scalable data collection pipelines and operational processes. Ability to proactively identify risks, create mitigation strategies, and ensure timely project delivery. Demonstrated success working with engineering, research, and operations to deliver high-impact AI solutions. Ability to change the momentum of current plans to a more beneficial course that amplifies team impact Effective communication skills and executive presence.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837116763", "isPrivate": false}, {"id": 1970324837018427, "name": "Member of Technical Staff - Copilot AI Web Engineering Manager", "location": "Mountain View, California, United States", "locations": ["Mountain View, California, United States", "Redmond, WA, USA"], "hot": 0, "department": "Copilot (P0PS)", "business_unit": "Microsoft AI (QIA5)", "t_update": 1761071994, "t_create": 1751056107, "ats_job_id": 1970324837018427, "display_job_id": 1970324837018427, "type": "ATS", "id_locale": "1970324837018427-en", "job_description": "In this role, you will: Hire, manage and lead a team of web engineers responsible for the quality and performance of Copilot's web products Ship delightful, AI powered experiences that will shape how millions of people will interact with AI in the future Collaborate with Eng, Design and Product leadership to prioritize features and deliver a world-class AI companion to the world Design and build a performant front-end infrastructure that drives multiple complex web applications Join a small team of world class product engineers with deep frontend expertise who are obsessed with building beautiful and performant products. Embody our Culture and Values. Bachelor's Degree in Computer Science, or related technical discipline AND 6+ years technical engineering experience with web technologies including, but not limited to, Typescript and React 3+ years people management experience. Bachelor's Degree in Computer Science, or related technical discipline AND 8+ years technical engineering experience with coding in languages including, but not limited to, Typescript and React OR equivalent experience. 6+ years people management experience. Take a user-centric approach to product development, prioritizing solutions that result in the best user experience and have the technical expertise to pull it off. Thrive in a fast-paced, collaborative environment and are comfortable making progress in ambiguity. Enjoy working closely with cross-functional partners and teammates in an inclusive, curious culture. Have strong opinions about best investments to make in establishing the most delightful and performant web engineering system.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "hybrid", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837018427", "isPrivate": false}, {"id": 1970324837085943, "name": "Member of Technical Staff - Site Reliability Engineer", "location": "Redmond, Washington, United States", "locations": ["Redmond, Washington, United States", "Mountain View, CA, USA"], "hot": 0, "department": "Copilot (P0PS)", "business_unit": "Microsoft AI (QIA5)", "t_update": 1762967476, "t_create": 1758896599, "ats_job_id": 1970324837085943, "display_job_id": 1970324837085943, "type": "ATS", "id_locale": "1970324837085943-en", "job_description": "Reliability & Availability: Ensure uptime, resiliency, and fault tolerance of AI model training and inference systems. Observability: Design and maintain monitoring, alerting, and logging systems to provide real-time visibility into model serving pipelines and infra. Performance Optimization: Analyze system performance and scalability, optimize resource utilization (compute, GPU clusters, storage, networking). Automation & Tooling: Build automation for deployments, incident response, scaling, and failover in hybrid cloud/on-prem CPU+GPU environments. Incident Management: Lead on-call rotations, troubleshoot production issues, conduct blameless postmortems, and drive continuous improvements. Security & Compliance: Ensure data privacy, compliance, and secure operations across model training and serving environments. Collaboration: Partner with ML engineers and platform teams to improve developer experience and accelerate research-to-production workflows. 4+ years of experience in Site Reliability Engineering, DevOps, or Infrastructure Engineering roles. Strong proficiency in Kubernetes, Docker, and container orchestration. Knowledge of CI/CD pipelines for Inference and ML model deployment. Hands-on experience with public cloud platforms like Azure/AWS/GCP and infrastructure-as-code. Expertise in monitoring & observability tools (Grafana, Datadog, OpenTelemetry, etc.). Strong programming/scripting skills in Python, Go, or Bash. Solid knowledge of distributed systems, networking, and storage. Experience running large-scale GPU clusters for ML/AI workloads (preferred). Familiarity with ML training/inference pipelines. Experience with high-performance computing (HPC) and workload schedulers ( Kubernetes operators). Background in capacity planning & cost optimization for GPU-heavy environments. Work on cutting-edge infrastructure that powers the future of Generative AI. Collaborate with world-class researchers and engineers. Impact millions of users through reliable and responsible AI deployments. Competitive compensation, equity options, and comprehensive benefits.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837085943", "isPrivate": false}, {"id": 1970324837085305, "name": "Member of Technical Staff, Platform Engineer - Windows Copilot", "location": "Redmond, Washington, United States", "locations": ["Redmond, Washington, United States"], "hot": 0, "department": "Copilot (P0PS)", "business_unit": "Microsoft AI (QIA5)", "t_update": 1763000087, "t_create": 1758560773, "ats_job_id": 1970324837085305, "display_job_id": 1970324837085305, "type": "ATS", "id_locale": "1970324837085305-en", "job_description": "Design and development secure and performant Platform services that support Copilot experiences on Windows. Work collaboratively with platform, infrastructure, application engineers and researchers to build next generation AI products and services. Ship high-quality, well-tested, secure, and maintainable code. Overcome obstacles to deliver work quickly and iteratively to users Enjoy working in a fast-paced, design-driven, product development cycle. Embody our Culture and Values. Bachelor's degree in computer science, or related technical discipline AND 4+ years technical engineering experience building applications including, but not limited to, Python, C#, C++, RUST, Java OR equivalent experience. 4+ years' experience building scalable services on top of public cloud infrastructure like Azure, AWS, or GCP with extensive use of various datastores like RDBMS, key-value stores, etc. 4+ years' experience building distributed systems at scale and extensive systems knowledge that spans bare-metal hosts (physical server) to containers to networking. Experience working with AI platforms, frameworks, and APIs. Ability to identify, analyze, and resolve complex technical issues, ensuring optimal performance, scalability, and user experience. Dedication to writing clean, maintainable, and well-documented code with a focus on application quality, performance, and security. Demonstrated interpersonal skills and ability to work closely with cross-functional teams, including product managers, designers, and other engineers. Ability to clearly communicate complex technical concepts to both technical and non-technical stakeholders. 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/1970324837085305", "isPrivate": false}, {"id": 1970324837140210, "name": "Member of Technical Staff, Client Engineer - Windows Copilot", "location": "Redmond, Washington, United States", "locations": ["Redmond, Washington, United States"], "hot": 0, "department": "Copilot (P0PS)", "business_unit": "Microsoft AI (QIA5)", "t_update": 1763432086, "t_create": 1761247930, "ats_job_id": 1970324837140210, "display_job_id": 1970324837140210, "type": "ATS", "id_locale": "1970324837140210-en", "job_description": "Design and develop client applications and components to support Copilot experiences. Work collaboratively with platform, infrastructure, application engineers and researchers to build next generation AI products and services. Ship high-quality, well-tested, secure, and maintainable code. Overcome obstacles to deliver work quickly and iteratively to users Enjoy working in a fast-paced, design-driven, product development cycle. Embody our Culture and Values. Bachelor's degree in computer science, or related technical discipline AND 4+ years technical engineering experience building applications including, but not limited to, Python, C#, C++, .NET, XAML Proven track record of delivering high-quality software solutions in a fast-paced multidisciplinary environment 4+ years' experience building secure, performant and well architected applications that demonstrate a focus on data driven iteration and improvement. Bachelor's degree in computer science, or related technical discipline AND 6+ years technical engineering experience building applications including, but not limited to, Python, C#, C++, .NET, XAML, Kotlin, Swift OR equivalent experience. Experience working with Windows debugging tools such as WinDBG, Sysinternals, etc. Experience working with AI platforms, frameworks, and APIs. Ability to identify, analyze, and resolve complex technical issues, ensuring optimal performance, scalability, and user experience. Dedication to writing clean, maintainable, and well-documented code with a focus on application quality, performance, and security. Demonstrated interpersonal skills and ability to work closely with cross-functional teams, including product managers, designers, and other engineers, while clearly communicating complex technical concepts to both technical and non-technical stakeholders. 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