Senior Research Engineer/Scientist
Core
Own LLM mid-training and post-training research, prototype novel agentic architectures, and design evaluation methodologies for agent reasoning and planning.
Role type
Senior Research Engineer/Scientist (LLM & Agentic AI)
Builds
Novel agentic architectures, research harnesses, and evaluation benchmarks for LLM agents.
Domain
Artificial Intelligence / Large Language Models / Agentic Systems
Deliverable
production ML models | research
Required skills
LLM training and post-training (continued pretraining, SFT, preference optimization, RL), agentic AI (planning, reasoning, memory, tool use, retrieval), Python, PyTorch, evaluation methodology design, research project ownership
Preferred skills
Experience modifying models and training pipelines, translating research to production, publishing/patenting
Technologies
PyTorch, Python
Responsibilities
Make data-mixture and experimental decisions for LLM training, design and build research harnesses for systematic experimentation, define evaluation methodologies and develop novel benchmarks, identify model failure patterns and translate insights into improvements, drive projects from hypothesis to validated prototype
Seniority
Senior, hands-on IC
