Microsoft jobs in redmond washington united states

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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. 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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 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 data collection, evaluation, and post-training methods for models. Design hypotheses and experiment plans for rapidly iterating on model performance. 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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": 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": 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": 1760392232, "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. 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. Passion for learning new technologies and staying up to date with industry trends, best practices, and emerging technologies in web development and AI. Ability to work in a fast-paced environment, manage multiple priorities, and adapt to changing requirements and deadlines. 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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. 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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. 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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. 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