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# Research Engineer, RL Environments and Infrastructure

- **Company:** Hyphen Hyphen LLC
- **Location:** San Francisco, CA, United States
- **Contract:** Permanent contract
- **Skills:** Training Data, Application Programming Interfaces (APIs), Artificial Intelligence, C++ (Programming Language), Nvidia CUDA, Databases, Python (Programming Language), TypeScript, Reinforcement Learning, Rust (Programming Language), Graphics Processing Unit (GPU), Golang
- **Published:** September 10, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=4de0bd5d217bf4d1

## About the Role

* Production AI Experience: Track record of deploying evaluations, RL loops, or sandboxed agent environments into production.
 * Systems Polyglot: Deep systems background (Python, Rust, C++, Go, TypeScript, CUDA)-you pick up new tools and frameworks within days.
 * San Francisco On-Site: In-person collaboration at our SF office to iterate quickly with founders and domain experts.
 * Pragmatic Problem Solver: Comfortable navigating raw paper implementations, undocumented SDKs, and custom distributed training setups.

## Description

* Build Stateful Agent Environments: Design deterministically verifiable, stateful sandboxes (web, OS, API, database) where agents can execute 50+ step action trajectories safely.
 * Scale Post-Training & RL Pipelines: Implement high-throughput post-training infrastructure (RLHF, Direct Preference Optimization, Process-Supervised Reward Models) for dynamic policy optimization.
 * Design Enterprise Benchmarks: Formulate evaluation metrics and automated grading harnesses that catch agent drift, hallucination, and loops in realistic enterprise environments.
 * Systems Optimization: Keep latency low and compute efficiency high across distributed GPUs and sandboxed runtime environments.


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