# Member of Technical Staff, Reinforcement Learning at Inception Labs

- Company: Inception Labs
- What the company does: We are leveraging diffusion technology to develop a new generation of LLMs. Our dLLMs are much faster and more efficient than traditional autoregressive LLMs. Backed by AI Grant and Amplify.
- Company website: https://www.inceptionlabs.ai/
- Type: Startups (AI role)
- Level: Senior
- Location: San Mateo, United States
- Work setup: On-site
- Pay: $200K to $350K base salary per year (USD)
- Posted: 2026-03-10
- Apply by: 2026-10-12
- Apply: https://jobs.gem.com/inception/am9icG9zdDpJ1umZangltW2CoSF9uK96
- Page: https://www.1752.vc/careers/jobs/inception-labs-member-of-technical-staff-reinforcement-learning/

## About the role

We seek experienced scientists and engineers with deep expertise in post-training large language models through reinforcement learning. You will design and implement RL training pipelines for our diffusion LLMs, develop reward modeling strategies, and build the algorithms that align model behavior with human intent at scale.

## What they're looking for

- Design, develop, and optimize RL training pipelines (PPO, DPO, RLHF, and novel approaches) for diffusion-based LLMs
- Build and iterate on reward models, reward shaping strategies, and evaluation of reward quality
- Implement innovative approaches for fine-tuning and scaling generative AI models
- Work on data preprocessing pipelines, model evaluation, and alignment to enterprise use cases
- Research and implement techniques for controlled text generation and constraint satisfaction
- Improve training stability, efficiency, and reproducibility of RL workloads