# Member of Technical Staff - ML Training Systems

**Company:** [Modal](https://hotfix.jobs/companies/modal)
**Location:** New York, NY, San Francisco, CA
**Role:** ML Engineering
**Salary:** $150k – $350k/yr
**Experience:** 5+ years
**Skills:** PyTorch, Hugging Face, Ml Training Optimization, Linux Kernel, File Systems, Containers
**Posted:** 2026-02-25

> Build and optimize ML training systems for production-scale language models using PyTorch and frameworks like Hugging Face. Requires 5+ years experience in high-performance code and training optimizations; onsite in NYC or SF.

## Job Description

## Requirements

- 5+ years of experience writing high-quality, high-performance code.
- Experience working with torch and high-level training frameworks (Huggingface, verl, slime)
- Experience with ML training optimization (tell us a story about eliminating data loading bottlenecks, overlapping communications with compute, rewriting a trainer to handle off-policy rollouts, etc.)
- **Nice-to-have**: familiarity with low-level operating system foundations (Linux kernel, file systems, containers, etc.)
- Ability to work in-person, in our NYC or San Francisco office.

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