Get a reply from this employer
Your resume and cover letter, tailored to exactly what they’re hiring for.
TalentPluto, Inc. is hiring an engineer to build and scale data infrastructure for reinforcement-learning products.
You will develop complex data workflows and high-throughput pipelines that power core features, shipping Next.js web components and Python desktop apps. You will own projects end to end in a fast-paced environment, collaborating closely with a growing team, and working onsite in San Francisco, CA.
Compensation: $180K-$220K base, $280K-$500K OTE
Location: San Francisco, CA
Work Model: Onsite
Industry: Applied AI / AI research data
Compensation: $180K-$220K base, $280K-$500K OTE
Our partner is a fast-growing applied AI company that builds high-quality reinforcement-learning environments, agents, and data sold to the world's leading frontier AI labs. They recently grew from under twenty people to more than fifty in a matter of months and have reached a nine-figure revenue run rate. Their work directly powers foundation-model development across the industry.
As one of the first engineering hires, you will build and scale the data infrastructure behind the company's products: complex data workflows and high-throughput pipelines that hold up under heavy load. You will work across Next.js on the web and Python for desktop applications.
This is a high-ownership IC role for an engineer who ships fast, owns projects end to end, and wants their work to directly power the most important model development happening today.