Halluminate — Member of Technical Staff, Platform Engineering

• →2–8 years of experience in platform/full-stack engineering, building RL environments or ML infrastructure [Required]

• Experience at a Pre-seed/Seed/Series A startup, or a former founder [Must have]
• Experience as a platform, full-stack, or backend software engineer in fast-moving, high-growth companies [Required]
• Big tech experience before going to a startup [Strongly preferred]
• Built RL environments, evals, or benchmarks for AI agents (Scale AI, Turing, Handshake AI, etc.) [Strongly preferred]
• Experience or significant interest in fintech or financial services [Strongly preferred]

• CS, ML, or related technical degree [Required]

• Experience building scalable platforms for internal or external customers (ML tooling, benchmarking, or agent products) [Required]
• Domain-specific verifier or reward function design [Strongly preferred]

• Heavy user of AI coding tools and shipping at high velocity [Must have]
• Currently lives in the Bay Area and willing to work in person 5 days a week [Required]

• No startup experience / 5+ years in big tech
• Pure researcher or MLE

• Salary: $200K–$250K (intake call cited $150K–$250K — conflict)
• Equity: 0.15–0.3% (intake call and "Why Join" cited 0.25–0.5% — conflict)
• On-site policy: 5 days in-office, San Francisco
• Visa sponsorship: Open to visa transfers (e.g. OPT, H-1B transfers)
• Employment type: Full-time
• Location: San Francisco, CA (Dogpatch)
• Hiring count: 6–8

1. What's the most autonomous project you've owned end-to-end? (optional)

Per the intake call (the on-page "3 steps" detail was not itemized in the pasted HTML):

Confirm the exact 3-step structure against Paraform — this is reconstructed from the intake summary, not the itemized interview-process field.

No dedicated Ideal Companies section was present in the pasted HTML. The only companies named inline (in the RL-environments requirement) are:

RL environments / evals / benchmarks Scale AI, Turing, Handshake AI

For reference only — do not source these specific profiles.

Red Giuliano — LinkedIn CTO at Stealth Startup | New York, United States

• Wyatt called this "probably the closest to a perfect resume"
• Best combination of enterprise technical work plus startup founder skillset
• Data science and ML at large-scale production enterprise capacity
• Strong finance overlap
• Founded his own startup (Zero-True) — ships fast, decides with limited info, iterates quickly, acts autonomously

Rohan Bansal — LinkedIn Software Engineer | United States

• Google Cloud Storage team — infra and production experience
• Finance domain experience via quant research at an arbitrage firm
• Generally strong education and internship experience
• Area for improvement: slightly less startup/founder experience than Red

• Prioritize candidates with early-stage startup experience — ensure they've built products from 0-to-1 rather than coming from big tech or research-only backgrounds.
• Focus on profiles that demonstrate ML tooling / agent platform ownership — hands-on experience creating and scaling RL environments and evaluation systems.
• Only consider candidates who are Bay Area-based or willing to relocate immediately to meet the strict 5-day in-office requirement.