Microsoft jobs in redmond washington united states

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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": 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. 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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": 1970324837141105, "name": "Senior Product Manager, Copilot AI", "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": 1765593112, "t_create": 1761928100, "ats_job_id": 1970324837141105, "display_job_id": 1970324837141105, "type": "ATS", "id_locale": "1970324837141105-en", "job_description": "Develop and execute on LLM platform strategy for Copilot that extend language model's capabilities. Prototype approaches by steering language models to drive response quality across a wide range of scenarios. Identify and prioritize platform, orchestration and language model issues that impact quality, factuality and safety and working with engineers and researchers to find a path to resolution. Define and build measurable evaluations with relevant datasets to demonstrate quality improvements. Define, deploy and manage experiments in production that impact language model's tool use, driving measurable improvements in relevance for and engagement with Copilot users. Partner with product teams to scale tool building and work with inference, agents and orchestration teams to resolve dependencies. Accountable to own the status of key projects, proactively identifying risks and proposing solutions to ensure timely delivery. Bachelor's Degree AND 5+ years experience in product management OR equivalent experience. 3+ years of experience leading ambiguous product areas, defining requirements, developing roadmaps, and working with multi-disciplinary teams to execute them. 2+ years of experience building ML-powered or LLM-powered products. Hands-on experience with LLM APIs (e.g. OpenAI, Anthropic, Azure OpenAI), embeddings, vector databases, and tool use. Hands-on experience with prompt design, context window management, and model evaluation. 2+ years of hands-on experience in building retrieval and/or recommendation systems, driving measurable improvements in relevance, engagement, and conversion through data-driven experimentation. Skilled in translating user intent into product strategy and collaborating closely with engineering and ML teams to deliver scalable, personalized experiences. 1+ years of experience in building LLM applications with familiarity in agent and orchestration frameworks, tool use, LLM evaluations and driving efficiency improvements. 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/1970324837141105", "isPrivate": false}, {"id": 1970324837017711, "name": "Member of Technical Staff- Product Evaluation Engineer", "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": 1762268126, "t_create": 1750188311, "ats_job_id": 1970324837017711, "display_job_id": 1970324837017711, "type": "ATS", "id_locale": "1970324837017711-en", "job_description": "Tool Development: Design and implement tools, end to end, using Typescript and Python to streamline data collection and facilitate model evaluation across AI projects. Feature Implementation: Leverage your expertise in JavaScript and its ecosystem, (React JS experience is a must, Next JS experience is a bonus), to develop robust and scalable features for internal tools that enhance the quality and efficiency of data and model evaluation. Collaboration: Work closely with AI researchers, product managers, and engineers to define requirements, scope projects, and deliver high-impact solutions. Data Handling: Build and optimize data pipelines (using Python) for collecting, processing, and analyzing large volumes of data used for training and evaluating AI models. 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 TypeScript, Python, C, C++, C#, Java 4+ years of experience in building and deploying web-based tools or applications. 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 TypeScript, Python, C, C++, C#, Java 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 TypeScript, Python, C, C++, C#, Java OR equivalent experience. 4+ years of experience with Next JS or other modern JavaScript frameworks. 5+ years of experience in software development, with a focus on building tools for data collection and/or model evaluation. Demonstrated understanding of data structures, algorithms, and software design principles. Demonstrated ability to collaborate effectively with cross-functional teams, including product management, AI research, and engineering. Familiarity with data science and machine learning concepts, especially as they relate to model evaluation and data collection.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837017711", "isPrivate": false}, {"id": 1970324837145441, "name": "Member of Technical Staff - Developer Evangelist", "location": "Redmond, Washington, United States", "locations": ["Redmond, Washington, United States"], "hot": 0, "department": "Copilot (P0PS)", "business_unit": "Microsoft AI (QIA5)", "t_update": 1762558763, "t_create": 1762201788, "ats_job_id": 1970324837145441, "display_job_id": 1970324837145441, "type": "ATS", "id_locale": "1970324837145441-en", "job_description": "Work with the mission to empower engineering teams to build faster, smarter, and more reliably on our platform. Work hands-on to improve and refine our libraries and the developer experience as a whole. Create technical content (tutorials, sample apps, blog posts, videos) that demonstrates real-world uses and best practices for the company's platform or APIs. Organize and deliver live presentations, workshops, ,webinars, and internal events to drive awareness and practical adoption. Maintain and contribute to developer-facing documentation, SDKs, command-line tools, and code examples to improve onboarding and reduce friction. Act as the primary liaison between the developer community and platform engineering teams; surface feature requests, common bugs, and usability issues. Monitor internal channels, and telemetry to respond to questions, triage problems, and identify trends. Measure and report on developer metrics (adoption, retention, active usage, contributions) and craft narratives to show business impact. Create feedback loops and structured processes for bug reporting, feature prioritization, and product validation with developers. Advocate for developer-first design inside the company by insisting on clarity, tooling, and workflows that reduce cognitive load and friction. Required 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. 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, C, C++, C#, Java, JavaScript, or Python 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, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. Hands-on coding experience API design and consumption (REST, GraphQL) Building and publishing SDKs and client libraries Sample app architecture and full-stack demo construction Debugging tools and troubleshooting production issues Git workflows and open-source contribution patterns Containerization (Docker) and local orchestration Cloud platform fundamentals (AWS/GCP/Azure) CI/CD pipelines and release automation Infrastructure as Code (Terraform, CloudFormation) Instrumentation and monitoring basics (logs, metrics, traces) Command-line interface (CLI) tooling and scripting Technical documentation and documentation tooling Package management and registry publishing (npm, PyPI) Front-end frameworks and component libraries Database fundamentals (SQL/NoSQL) and simple schema design Security basics (auth flows, tokens, OAuth, API keys) Testing strategies for example code (unit/integration) Performance profiling and optimization for demos Knowledge of open-source licenses and governance Soft Abilities Public speaking and stage presence Technical storytelling and narrative construction Empathy with developer challenges and workflows Clear, concise technical writing for diverse audiences Community building and relationship management Feedback synthesis and product advocacy Time management and prioritization across travel and content creation Collaboration and cross-functional communication Problem framing and solution validation Adaptability and resilience under public scrutiny Negotiation and partnership development Mentoring and teaching patience Cultural sensitivity for global developer audiences", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837145441", "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": 1765468253, "t_create": 1759759786, "ats_job_id": 1970324837113105, "display_job_id": 1970324837113105, "type": "ATS", "id_locale": "1970324837113105-en", "job_description": "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. 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). 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.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837113105", "isPrivate": false}, {"id": 1970324837113462, "name": "MTS, Copilot Prompt Engineer", "location": "Redmond, Washington, United States", "locations": ["Redmond, Washington, United States"], "hot": 0, "department": "Copilot (P0PS)", "business_unit": "Microsoft AI (QIA5)", "t_update": 1764470953, "t_create": 1759852471, "ats_job_id": 1970324837113462, "display_job_id": 1970324837113462, "type": "ATS", "id_locale": "1970324837113462-en", "job_description": "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 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. 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. 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.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837113462", "isPrivate": false}, {"id": 1970324837113552, "name": "Member of Technical Staff, Web Product Engineer", "location": "Redmond, Washington, United States", "locations": ["Redmond, Washington, United States"], "hot": 0, "department": "Copilot (P0PS)", "business_unit": "Microsoft AI (QIA5)", "t_update": 1764470998, "t_create": 1759944413, "ats_job_id": 1970324837113552, "display_job_id": 1970324837113552, "type": "ATS", "id_locale": "1970324837113552-en", "job_description": "In this role, you will: Ship delightful, AI powered experiences that will shape how millions of people will interact with AI in the future Collaborate with AI researchers, product managers, and designers to bring a world-class AI companion to the world Design and build efficient and reusable front-end systems that drive complex web applications Plan and deploy front end infrastructure necessary to build, test, and deploy our products 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 4+ years software engineering experience building web products at scale by coding in languages including, but not limited to, Typescript and React Bachelor's degree in computer science, or related technical discipline AND 10+ years software engineering experience building web products at scale by coding in languages including, but not limited to, Typescript and React OR Master's Degree in Computer Science, or related technical discipline AND 8+ years software engineering experience building web products at scale by coding in languages including, but not limited to, Typescript and React OR equivalent experience. Have 0 to 1 experience with a bias towards shipping and learning, while balancing a high-quality bar. 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.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837113552", "isPrivate": false}, {"id": 1970324837005181, "name": "Member of Technical Staff, Platform Engineering Manager", "location": "Redmond, Washington, United States", "locations": ["Redmond, Washington, United States"], "hot": 0, "department": "Copilot (P0PS)", "business_unit": "Microsoft AI (QIA5)", "t_update": 1765426920, "t_create": 1737482605, "ats_job_id": 1970324837005181, "display_job_id": 1970324837005181, "type": "ATS", "id_locale": "1970324837005181-en", "job_description": "Build secure and performant AI Platform services that power Copilot. Work collaboratively with other Platform, infrastructure, application engineers as well as AI Researchers to build next generation AI products and services. Ship high-quality, well-tested, secure, and maintainable code. Find a path to get things done despite roadblocks to get your work into the hands of users quickly and iteratively. Enjoy working in a fast-paced, design-driven, product development cycle. Embody our Culture and Values. Bachelor's Degree in Computer Science, or related technical discipline AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python 8+ years' experience building scalable services on top of public cloud infrastructure like Azure, AWS, or GCP. Extensive use datastores like RDBMS, key-value stores, etc. 8+ years' experience building distributed systems at scale and extensive systems knowledge that spans bare-metal hosts to containers to networking. 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, C, C++, C#, Java, JavaScript, or Python OR Master's Degree in Computer Science or related technical field AND 10+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. 6+ years people management experience. Experience working with AI platforms, frameworks, and APIs. Experience using Machine Learning frameworks, including experience using, deploying, and scaling language learning models, either personally or professionally. Ability to identify, analyze, and resolve complex technical issues, ensuring optimal performance, scalability, and user experience. Dedication to writing clean, maintainable, and well-documented code with a focus on application quality, performance, and security. 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