Senior Applied Scientist - CoreAI

Microsoft • Redmond, WA

1d • Hybrid

About The Position

Microsoft’s Enterprise customers need tools to build agentic experiences over public and private knowledge. The Azure AI Knowledge team is developing Foundry IQ Knowledge bases to transform structured and unstructured enterprise data into knowledge. The team continuously develops and deploys new capabilities to handle complex queries requiring reasoning and reflection for high-quality results. Their work involves developing LLM prompts, agents, and query execution workflows with tight latency constraints, collecting/generating/filtering training and evaluation data, building on state-of-the-art techniques, and using AI coding patterns for experimentation. The role focuses on pushing the frontier of knowledge retrieval, requiring the individual to leverage multiple coding agents (autoresearch, claws, CLI systems, etc.) to explore new techniques and bring them to production at scale. The team collaborates with M365, Bing, and Microsoft Research and seeks passionate individuals interested in AI, Machine Learning, and data science to improve search for customers globally.

Requirements

• Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics predictive analytics, research) OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research) OR equivalent experience.
• Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Nice To Haves

• Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience.
• 1+ year(s) experience developing and deploying products or systems at multiple points in the product cycle from ideation to shipping.
• Experience with agentic coding systems, including scaffolding for long‑running agents.
• Experienced hybrid collaboration skills, with clear async/sync communication and teamwork.
• Experience defining task‑specific metrics and evaluation datasets.
• Customer‑focused and execution‑driven, with strong ownership and bias for action.
• Experienced problem‑solver, comfortable with novel, open‑ended problems.

Responsibilities

• Independently incorporate state of the art research into techniques shipped to production.
• Develop and build metrics to use across the full range of search engine components.
• Seek out and incorporate customer feedback into dataset construction, evaluation, and technique development.
• Drives technical excellence and contribute to experimentation infrastructure and proofs-of-concept using AI coding agents.
• Advances the quality of the team’s experimental codebase to ensure experiments are efficient and repeatable.
• Work collaboratively with product management, engineers, and other functions across products.
• Drive clear and efficient plans, documents, and communication.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Number of Employees: 5,001-10,000 employees