# Machine Learning Engineer at Relace

- Company: Relace
- What the company does: Relace delivers purpose-built AI models and scalable infrastructure for coding agents, offering ultra-fast code retrieval, merging, and autonomous workflows. Cut down errors and accelerate development with Relace. Backed by Y Combinator and a16z.
- Company website: https://relace.ai
- Type: Startups (AI role)
- Level: Mid level
- Location: San Francisco
- Work setup: On-site
- Posted: 2025-10-29
- Apply by: 2026-10-08
- Apply: https://jobs.ashbyhq.com/relace/2deb110b-b848-4316-a120-f1864d788e94
- Page: https://www.1752.vc/careers/jobs/relace-machine-learning-engineer/

## About the role

We’re looking for a Machine Learning Engineer who loves getting close to the metal. This is a hands-on engineering role focused on making models faster, more efficient, and more reliable through low-level optimizations and smart systems design.

## What they're looking for

- Strong background in systems-level ML engineering
- Experience with CUDA, GPU kernel optimization, and performance tuning
- Fluency in Python and at least one systems language (C++ or Rust preferred)
- Familiarity with distributed training frameworks (e.g., PyTorch, JAX, DeepSpeed, or similar)
- Experience working with large-scale training or inference infrastructure
- Understanding of memory management, parallelization, and hardware-aware model optimization

Tags: Model Training