Senior Research Engineer, LLM Data

Location : San Francisco, CA

Employment Type : Full-time

On-site : 5 days / week in-person

About the Role

Our client is a research lab that provides post-training data and RL environments to foundation model labs and frontier applied AI companies. They have raised significant funding from top-tier VCs and are growing rapidly. As a Senior Research Engineer , you will drive cutting-edge research at the intersection of scalable infrastructure and modern reinforcement learning (RL) frameworks. This is an opportunity to join an early-stage team with high autonomy and direct exposure to projects that are used and validated in production by leading labs.

Responsibilities

• Design and implement scalable RL recipes for post-training task-specific models.
• Develop modular environments , reward functions, and evaluator scaffolds for both internal and customer-facing tasks.
• Drive research to enable RL-as-a-service and publish open-source environments and training data.
• Build data generation and curation pipelines to support frontier post-training.
• Collaborate with product teams to deliver a user-friendly interface for non-technical users to generate data.
• 4-7 years of experience in an AI / LLM research capacity (excluding undergraduate experience).
• Master's or PhD in Computer Science or a related field.
• Comfortable with core tooling like PyTorch and modern post-training techniques.
• Experience with evaluations and reward engineering.
• Published in top journals (ICLR, NeurIPS, ICML, etc.).
• Salary : $200k - $275k (Based on quality and experience).
• Equity : 0.5% - 2%.
• Visa sponsorship is available.

Due to the high volume of applications we anticipate, we regret that we are unable to provide individual feedback to all candidates.If you do not hear back from us within 4 weeks of your application, please assume that you have not been successful on this occasion. We genuinely appreciate your interest and wish you the best in your job search.

Commitment to Equality and Accessibility :

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