Microsoft
Senior Machine Learning Engineer / Applied Scientist
Found: Today
OverviewQualifications
We are looking for a Senior Machine Learning Engineer / Applied Scientist to help design, evaluate, and ship the next generation of AI-powered product experiences. The role combines strong machine learning and applied science depth with hands-on engineering, product judgment, and end-to-end ownership from prototyping through launch and continuous improvement.
ResponsibilitiesBuild, evaluate, and improve AI/ML experiences (LLMs, RAG, agentic, multimodal systems).
Design evaluation frameworks for quality, grounding, reliability, safety, and UX.
Build offline experimentation pipelines for models/prompts/retrieval/system designs.
Partner across product/engineering/science to define measurable objectives and success metrics.
Analyze failures and drive clear product/technical improvements.
Build production-grade ML systems (scalability, latency, reliability, observability, maintainability).
Contribute to MLOps (data pipelines, telemetry, regression testing, monitoring).
Communicate risks/tradeoffs/recommendations and mentor peers.
Required Qualifications:
- 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.
