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Senior Platform Engineer (Reinforcement Learning Environments) - AI/Finance
Visa Sponsorship
Relocation
AI Summary
Lead the development of scalable RL environment infrastructure and next-gen training platforms for AI agents in financial services. Own platform engineering, synthetic data pipelines, and engineering culture while collaborating with SMEs and customers. Requires expertise in RL, strong product ownership, and startup agility with client-facing comfort.
Key Highlights
Own platform engineering for RL environments, training, and inference infrastructure at scale
Research and build increasingly realistic, long-horizon RL environments for AI agents in finance
Establish engineering culture and practices from the ground up in a high-growth startup
Key Responsibilities
Build and scale RL environment training and inference infrastructure to support customer usage
Develop next-generation RL environments with realistic, long-horizon, and complex financial tasks
Innovate synthetic data pipelines to create realistic problems for AI agents in Excel modeling, pitch decks, and quantitative trading
Establish platform analytics for cost, performance, bottlenecks, and SME management
Craft domain-specific verifiers (reward functions) for financial services applications
Lead engineering culture and practices in a rapidly growing team
Technical Skills Required
Benefits & Perks
Fully covered medical, dental, and vision insurance (subsidized for dependents)
$10,000+ relocation stipend for San Francisco
Up to 4% employer 401(k) match
Nice to Have
Research background in training AI models or publishing papers
Founding experience or early-stage startup background
Job Description
About Halluminate
Halluminate is an applied AI and data company building computer-use and tool-use RL gyms to train AI agents on real financial services work — Excel modeling, pitch decks, and everything investment banking, private equity, and hedge funds rely on. We work with frontier labs, graduated from Y Combinator (S25), and raised a seed round to scale the team.
The role
Base: $200–275k
- Equity: 0.15–0.30%
- Location: San Francisco, 5 days in office
Responsibilities
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- Build our RL environment training and inference infrastructure to support customer usage at scale.
- Research and develop next-generation RL environments — increasingly realistic, long-horizon, and difficult for frontier models.
- Build software that 10–100x's the quality and throughput of RL environment creation.
- Innovate on synthetic data pipelines to create realistic problems.
- Build platform analytics for environment cost, hours, bottlenecks, and SME management.
- Craft domain-specific verifiers (verifiable rewards for decks, Excel modeling, quantitative trading, and beyond).
- Establish engineering culture and practices from the ground up.
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- Familiarity building evaluations, benchmarks, or RL for AI agents.
- Startup speed: iterate quick, ask quick, respond quick, make mistakes quick.
- Strong product and user ownership; ability to prioritize across a large roadmap.
- Client-facing comfort — you'll talk to users, customers, and SMEs.
- Research background (training models, publishing papers).
- Former founders or experience at early-stage startups.
Interested in relocating to United State? Check out our comprehensive Relocation Jobs in United State page with detailed relocation packages and benefits.
- Healthcare — Fully covered medical, dental, and vision for you. Subsidized for dependents.
- Relocation — $10k+ relocation stipend to help you get to San Francisco.
- 401(k) — Up to 4% employer match.
- Food — Free breakfast, lunch, and dinner while working.
- Health — Free gym membership.
- Transportation — Free Ubers and Waymo rides to and from the office.
- Visa sponsorship — We sponsor visas, including H-1B.
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