Machine Learning Engineer, LLM Post-Training

📋 Description

• Lead LLM post-training across CPT, SFT, and RL (RLHF).
• Design and curate data for each training stage (datasets, rewards).
• Collaborate with business/product teams to map use cases to training plans.
• Train at scale on mid-to-large GPU clusters with distributed training.
• Build evaluation and verifier pipelines to measure model quality.
• Stay current with post-training research and ship production-ready code.

🎯 Requirements

• Hands-on LLM post-training experience with RL (RLHF/PPO/DPO).
• Strong ML data engineering; design data-prep plans for business needs.
• Proven large-scale GPU training on mid-to-large hardware; distributed training.
• Strong PyTorch fundamentals; TRL/Accelerate/DeepSpeed/FSDP; vLLM.
• Solid tokenization, attention knowledge and alignment/failure modes.
• Bias toward fast iteration with cross-team communication.

🎁 Benefits

• Health, dental, and vision coverage for you and family (employee 100%).
• 401(k) plan with company matching.
• Paid time off and holidays.
• FSA/HSA and commuter benefits programs.
• Team activity budget.