Halluminate — Member of Technical Staff, Platform Engineering
$200,000–$250,000 year
On-siteSan Francisco, California, United States
Job Summary
Build the training and inference infrastructure supporting customer usage of reinforcement-learning environments at scale. Research and develop next-generation RL environments that are more realistic, longer-horizon, and harder for frontier models. Ship tooling that increases the quality and throughput of environment creation, including synthetic data pipelines and platform analytics for costs and bottlenecks. Craft domain-specific verifiers and reward functions for financial workflows like presentation building and quantitative trading. Establish engineering practices and culture from the ground up as a founding Member of Technical Staff.
Required Qualifications
- 2–8 years of platform or full-stack engineering experience
- ideally building RL environments or ML infrastructure
- Time spent at an early-stage startup (pre-seed to Series A)
- experience as a founder
- A track record as a platform, full-stack, or backend engineer at fast-moving, high-growth companies
- A degree in CS, ML, or a related technical field
- Demonstrated experience building scalable platforms for internal or external users
- ML tooling, benchmarking, or agent products
- A heavy user of AI coding tools
- ships at high velocity
- Based in the Bay Area
- ready to relocate
- able to work on-site 5 days a week
- Open to visa transfers (e.g. OPT, H-1B transfers)
Desired Qualifications
- Big-tech experience earlier in your career before moving to a startup
- Hands-on experience building RL environments, evals, or benchmarks for AI agents
- Background in, or strong interest in, fintech or financial services
- Experience designing domain-specific verifiers or reward functions
- cloud (AWS, S3) a plus
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