# Research Scientist / Engineer – Reinforcement Learning Infrastructure at Luma

- Company: Luma
- What the company does: Luma fertility blends global science with human care to offer advanced fertility treatments, zero wait times, expert doctors, and transparent outcomes. Backed by Peak XV and a16z.
- Company website: https://lumafertility.com/
- Type: Startups (AI role)
- Level: Mid level
- Location: Remote, EU
- Work setup: Remote
- Posted: 2026-10-08
- Apply by: 2026-11-22
- Apply: https://jobs.ashbyhq.com/lumaai/3abaffc4-01f1-4d72-b20d-4c8474d8cc80?utm_source=1752vc&utm_medium=careers
- Page: https://www.1752.vc/careers/jobs/luma-research-scientist-engineer-reinforcement-learning-infrastructure/

## About the role

You'll build the systems that make reinforcement learning work at frontier scale — coupling policy optimization with large fleets of inference workers, agentic environments, and the reward and verification systems that turn model behavior into learning signal. RL is how Luma's models go from capable to useful. Found on 1752vc Careers, the job board for startup and VC roles.

## What they're looking for

- Hands-on experience post-training LLMs with RL (PPO/GRPO-family, RLHF, RLVR) at meaningful scale
- Extensive distributed PyTorch training and parallelism (FSDP, Tensor/Pipeline/Expert Parallel) for foundation models
- Experience building RL environments, reward functions, verifiers, or evaluation harnesses for LLM agents, including sandboxed execution and multi-turn tool use
- Deep familiarity with RL post-training frameworks (veRL, OpenRLHF, TRL, Ray orchestration) and rollout inference engines (vLLM, SGLang)
- Strong understanding of GPU clusters, networking, and communication libraries (NCCL, MPI) under mixed training and inference workloads

Tags: Research & AI

Source: 1752vc Careers, https://www.1752.vc/careers/jobs/luma-research-scientist-engineer-reinforcement-learning-infrastructure/