3 days ago
Redmond, WA, USA +2 moreMid Level
H1B sponsor
Base Salary
$102k - $219k/yr
Responsibilities
- Develop efficient hosting solutions for large language models and parameter-efficient adapters.
- Design architectural and parameter-efficient model adaptation techniques.
- Develop inference-time steering and controllability approaches.
- Build tooling, harnesses, and systems for model evaluation, debugging, and development.
- Implement and evaluate adaptation approaches under enterprise deployment constraints including latency, safety, privacy, policy compliance, and compute efficiency.
- Partner with research and engineering teams to translate product and customer requirements into scalable model adaptation solutions.
- Drive technical work from concept to prototype and deliver new methods, systems components, or empirical insights.
- Document approaches and share best practices for post-training and secure foundation model deployment.
Requirements
- Bachelor’s degree in a relevant field and 2+ years of related experience, or a master’s degree and 1+ year of related experience, or a doctorate, or equivalent experience.
- Ability to meet Microsoft, customer, and government security screening requirements, including the Microsoft Cloud Background Check.
- Preferred: 5+ years of related experience with a bachelor’s degree, 3+ years with a master’s degree, or 1+ year with a doctorate.
- Preferred: 1+ year of experience creating publications such as patents or peer-reviewed academic papers.
- Preferred: experience contributing to open-source systems or production deployments involving foundation model training or adaptation.
- Preferred: experience with reinforcement learning or post-training, distributed or large-scale ML training systems, AI evaluation or benchmarking, tool use, planning, agentic behaviors, or enterprise AI deployment.
- Preferred: 1+ year building scalable ML systems or pipelines for training, adapting, or deploying AI models.
- Preferred: 2+ years of experience with Python and machine learning frameworks such as PyTorch or equivalent.
Categories
AI ResearchML Engineering
About Microsoft
Microsoft develops operating systems, productivity software, cloud services, developer tools, and consumer devices for individuals, enterprises, and governments. Its main products include Windows, Microsoft 365, Azure, Visual Studio/GitHub, Xbox, and LinkedIn; revenue comes from software subscriptions and licenses, cloud consumption, hardware sales, and advertising. Founded in 1975 and headquartered in Redmond, Washington, Microsoft is a public company traded on Nasdaq.