M
$180,000 – $250,000
Listed on Modal’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
Modal is hiring ML engineers to work directly with top AI companies, optimizing their production workloads on Modal's infrastructure platform. You'll split time between hands-on technical work—architecting inference systems, tuning model training pipelines, and GPU optimization—and building relationships with technical leaders at frontier AI labs.
Our summary, not Modal’s wording. The full posting is on their site.
What they ask for
Required
- 2+ years professional ML engineering experience
- Hands-on work in inference optimization, model training, GPU programming, or ML infrastructure
- Familiarity with serving toolchains (vLLM, SGLang) or training toolchains (slime, verl, TRL)
- Deep technical knowledge in at least one ML toolchain
- Strong communicator able to explain technical architecture and tradeoffs
- Genuine interest in direct customer engagement
- Willing to work in-person in New York City, San Francisco, or Stockholm
Nice to have
- Side projects, open-source contributions, or published work in ML or systems performance