Sign up with

Already have an account? Log in here

Need some help?
Talk to us at +91 7670800001

Principal Applied Scientist at Microsoft

Beijing, Beijing, China -

Full Time

Start Date

Immediate

Expiry Date

17 Feb, 26

Salary

0.0

Posted On

19 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Applied Machine Learning, LLMs, Agent Systems, Reinforcement Learning, Prompt Engineering, Context Engineering, Retrieval-Augmented Generation, Tool Use, Planning Agents, Long-Context Modeling, Model Training Pipelines, PyTorch, TensorFlow, JAX, Evaluation Strategies, Model Deployment

Industry

Software Development

Description

Design and implement advanced LLM-based architectures and agentic systems for real-world product scenarios. Translate research breakthroughs into production-ready algorithms, contributing to core capabilities such as reasoning, planning, long-term memory, code-gen based design. Monitor and improve model performance post-deployment through data-driven iteration and error analysis. Collaborate across teams to deliver robust, scalable models aligned with product objectives and user value. Contribute to the organization's scientific direction by identifying research opportunities that drive long-term differentiation. M.S. or Ph.D. in Computer Science, Machine Learning, or a related field, or equivalent practical experience. 5+ years of experience in applied machine learning, with a focus on LLMs, agent systems, or reinforcement learning. Strong hands-on experience with prompt engineering, context engineering, retrieval-augmented generation (RAG), tool use, planning agents, and long-context modeling, etc. Familiarity with model training pipelines using PyTorch, TensorFlow, JAX, or similar frameworks, evaluation strategies, and model deployment best practices. Solid publication record (e.g., NeurIPS, ICLR, ACL, ICML, EMNLP) is a plus, but emphasis is placed on practical contributions. Strong coding and debugging skills, and comfort working in cross-functional, agile environments. This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled. *

Responsibilities

Design and implement advanced LLM-based architectures and agentic systems for real-world product scenarios. Monitor and improve model performance post-deployment through data-driven iteration and error analysis.