Job posting has expired

Member of Technical Staff, Applied AI Engineer

Microsoft
$100,600.00 - $199,000.00 / yr
United States, Washington, Redmond
May 15, 2026
Overview We're hiring a Applied AI Engineerto join a fastmoving, highownership team building nextgeneration AI assistant and productivity capabilities. This role blends LLM product engineering, evaluation science, hillclimbing, and internal tool buildingwith the pace and creativity of a startup. You'll work across the entire lifecycle of features from early prototypes to productiongrade systems and help define how millions of users interact with AI. Responsibilities LLM Feature & Agent Development Design and ship LLMpowered assistant features, including conversational flows, agentic behaviors, retrieval pipelines, and multimodal interactions. Buildprompt architectures, system instructions, and orchestration logic that ensure reliability, grounding, and personality consistency. Prototype new capabilities rapidly and iterate based on user signals and evaluation data. Evaluation, Hillclimbing & Quality Systems Build and maintain evaluation frameworksfor correctness, safety, grounding, and UX quality. Runhillclimbing loopsacross prompts, models, and tooluse strategies to continuously improve assistant performance. Analyze failure modes, design mitigations, and drive systematic improvements across the stack. LLM Tooling & Internal Infrastructure Develop internal tools for prompt experimentation, model comparison telemetry and debugging automated eval pipelines Create reusable frameworks that accelerate the entire AI org's ability to ship highquality assistant features. Applied ML & Product Integration Integrate LLMs with product surfaces, APIs, and backend systems. Build lightweight ML components (ranking, classification, summarization, personalization) that enhance assistant intelligence. Collaborate with PM, design, and research to turn ambiguous ideas into polished user experiences. HighVelocity Teamwork Operate with startupfounder energy: bias for action, rapid iteration, and comfort with ambiguity. Work closely with researchers, engineers, and product leaders in afastmoving AI teamwhere ideas ship quickly and impact is immediate. Contribute to a culture of experimentation, clarity, and highquality execution. Buildprompt architectures, system instructions, and orchestration logic that ensure reliability, grounding, and personality consistency. Prototype new capabilities rapidly and iterate based on user signals and evaluation data. Qualifications Required/minimum qualifications Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) or consulting experience OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 2+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience. Preferred Qualifications Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience. 2+ years shipping production-level code, models, or data analysis. 1+ years using AI-assisted coding and analysis techniques. Experience working on small teams and mid-stage startup environments. Experience working on AI products. PhD in engineering, applied math, statistics, or related analytical field. 4+ years shipping production-level code, models, or data analysis. Deep experience building from zero-to-one. Hands on work hillclimbing AI evaluations. Data Science IC3 - The typical base pay range for this role across the U.S. is USD $100,600 - $199,000 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 $131,400 - $215,400 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 Data Science IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 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 $158,400 - $258,000 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 This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled. Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.