Senior AI Research Engineer
Core
Senior AI Research Engineer leading hands-on training and improvement of Large Language Models (LLMs) across the full lifecycle, from pretraining to post-training optimization, while building robust data and training pipelines.
Role type
Senior AI Research Engineer (LLM Training & Infrastructure)
Builds
Production-ready LLMs, training pipelines, evaluation suites, and agentic workflows.
Domain
Artificial Intelligence / Large Language Models / Software Engineering
Deliverable
production ML models
Required skills
LLM training lifecycle (DAPT/CPT, SFT, RL/RLVR), transformer internals, distributed training systems, Python, data pipeline engineering, model evaluation, debugging training instabilities, LLMOps, model compression/efficiency
Preferred skills
Publications, open-source contributions, leadership in shipping LLM improvements
Technologies
PyTorch, FSDP, DeepSpeed, ZeRO, W&B, MLflow, Cursor, Copilot
Responsibilities
Lead AI Engineers/Researchers; Train and iterate on LLMs end-to-end; Design training recipes and hyperparameter strategies; Architect efficient distributed training systems; Develop and maintain large-scale LLM data pipelines; Perform deep EDA and root-cause analysis for training regressions; Build evaluation and benchmarking suites; Apply model compression and efficiency techniques; Implement LLMOps for experiment tracking and safe rollout; Collaborate on integrating models into agentic pipelines; Stay current with field advancements.
Seniority
Senior, hands-on IC with leadership responsibilities
