Designing and implementing post-training algorithms LLMs and DLMs.
Driving efficiency and scalability improvements across training pipelines and serving systems.
Collaborating with researchers to translate cutting-edge ideas into production-ready implementations.
Exploring new paradigms for evaluation.
Demonstrating strong engineering practices, and contributing to open-source communities.

PhD in Computer Science, Electrical Engineering, or related field, or equivalent research experience in LLMs, systems, or related areas.
2+ years of experiences in machine learning, systems, distributed computing, or large-scale model training.
Proficiency in Python with hands-on experience in frameworks such as PyTorch.
Solid background in computer science fundamentals: algorithms, data structures, parallel/distributed computing, and systems programming.
Proven ability to collaborate across research and engineering teams in multifaceted environments.

Senior Research Scientist, Post-Training LLM, DLM

Key skills