Member of Engineering (Post-training)
Core
Turning pre-trained LLMs into well-aligned, highly capable AI systems for coding and software development by building data pipelines and implementing post-training algorithms.
Role type
Senior Applied Research Engineer (LLM Post-training)
Builds
Agentic systems and coding assistants deployed into development environments for security-conscious enterprises
Domain
Artificial General Intelligence, Large Language Models, Software Development
Deliverable
production ML models
Required skills
Large Language Models (LLM), Transformers, deep learning fundamentals, post-training algorithms, distributed training, synthetic data generation, RLVR, code generation, Python, PyTorch, Jax, Linux, algorithmic skills
Preferred skills
Experience in non-ML programming, familiarity with modern code agents
Technologies
PyTorch, Jax, Linux
Responsibilities
Research and experiment on ways to specialize foundational models to agentic use cases, Build and maintain data and training pipelines, Design, analyze, and iterate on training/fine-tuning/data generation experiments, Write high-quality, pragmatic code
Seniority
Senior, hands-on IC
