Machine Learning Systems Research Engineer, Agent Post-training - Enterprise GenAI

Overview

Machine Learning Systems Research Engineer for enterprise GenAI post-training and agent RL training platforms, focused on building and optimizing training/inference systems.

What you'll do

• Build, profile, and optimize training and inference frameworks.
• Post-train state-of-the-art models to define stable post-training recipes.
• Collaborate with ML teams to accelerate research and development.
• Create next-gen agent training algorithms for multi-agent/multi-tool rollouts.

What you'll need

• At least 1–3 years of LLM training in a production environment.
• Experience with post-training methods such as RLHF/RLVR.
• Experience with related algorithms such as PPO/GRPO.
• Ability to operate the architecture of a modern GPU cluster.
• Experience with multi-node LLM training and inference.
• Strong software engineering skills with tools such as CUDA, PyTorch, transformers, and flash attention.