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Platform Engineer - Reinforcement Learning Infrastructure for Financial Services AI

coffeespace • United States
Visa Sponsorship Relocation
This Job is No Longer Active This position is no longer accepting applications

Build scalable training and inference infrastructure for reinforcement learning environments used in financial services workflows. Design synthetic data pipelines, verifiers, and internal platforms to accelerate environment creation and evaluation. Requires 3-8 years of platform/full-stack engineering experience with strong Python, TypeScript, and systems fundamentals.

Key Highlights
Frontier AI RL environments for financial services workflows
Scalable infrastructure and synthetic data pipelines
Direct collaboration with AI labs and financial institutions
Full ownership of platform tooling and evaluation systems
Equity compensation and visa sponsorship available
Key Responsibilities
Build scalable training and inference infrastructure for RL environments
Develop realistic, long-horizon environments for frontier AI agents
Design synthetic data pipelines and domain-specific verifiers
Create internal platforms and analytics for managing costs, workflows, and bottlenecks
Work directly with engineers, customers, and subject-matter experts
Technical Skills Required
Python TypeScript Infrastructure Systems Engineering
Benefits & Perks
Healthcare
Relocation support
Meals
Transportation
401(k) matching

Job Description

This role is being recruited by CoffeeSpace on behalf of an anonymous venture-backed AI startup building reinforcement learning environments and infrastructure for frontier AI systems in financial services.

We’re identifying a small number of exceptional platform and full-stack engineers from our network. If there’s a strong fit, we’ll introduce you directly to the founding team.

Location: San Francisco, CA

Compensation: $200K–$250K base + 0.15%–0.3% equity

Employment type: Full-time

Work setup: 5 days in-office

Visa: Open to visa transfers, including OPT and H-1B transfers

About the company

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