Head of Applied AI

Storm3; San Francisco (CA); On-site; USD 300,000 - 400,000; Full time

Benefits offered by this job

Relocation support

In-person schedule flexibility

Founding-level equity

Competitive cash compensation

Job summary

Storm3 is seeking a Head of Applied AI/Engineering to bridge SOTA research and product development for our Supercomputing Infrastructure initiatives. You will lead a distributed team of engineers and researchers across RL, agentic models, and infra, shaping the R&D stack.

Based in San Francisco or London, you will own the engineering and applied AI function, guide future direction, and receive competitive cash compensation plus founding-level equity. Relocation support is provided.

Qualifications

• Expertise in state-of-the-art model training, especially agentic & eval harnesses or post-training and RL.
• Experience leading RL/agents/evals at frontier model labs.
• Strong understanding of distributed systems and infra.

Responsibilities

• Own the bridge between SOTA research and product development.
• Shape technical and strategic direction for R&D across post-training & systems stack.
• Grow and lead a distributed team of engineers and researchers.

Skills

Agentic RL research

Distributed systems

Team leadership

Post-training & eval harnesses

Job description

Head of Applied AI / Engineering

AI for Supercomputing Infrastructure ($200M+ valuation)

San Francisco, CA or London, UK

$300,000 - 400,000 cash + founding-level equity

Come join a rocketship, building Agentic & Self-Evolving Systems for Supercomputing Infrastructure!

This is a fast-growing start-up and AI research lab who are developing Agentic Intelligence / Foundation Models for the most critical issues in Supercomputing.

Responsibilities

• Own the bridge between SOTA research and product development
• Shape technical and strategic direction for R&D - across post-training & systems stack
• Grow and lead a team of Engineers + Researchers

Requirements

• Expertise in state-of-the-art model training – particularly in agentic & eval harnesses, or post-training and RL
• Previously led efforts in RL / agents / evals at frontier model training labs
• Strong understanding of distributed systems and lower-level infra
• Ability to grow and manage a distributed team

Why join?

• High-momentum team, and a market-leading product within a billion-dollar space
• Opportunity to own the Engineering / Applied AI function & future direction
• Competitive cash and founding-level equity
• Relocation support and in-person schedule flexibility

San Francisco, USA