Member of Technical Staff, Platform Engineering

About The Company Our client is an early-stage, venture-backed AI startup building fully managed reinforcement-learning environments and benchmarks used to train computer-using agents for financial services. Their gyms teach AI agents to carry out real analyst and operator work — think spreadsheet modeling, presentation building, and trading workflows — and leading AI labs are already paying customers. They are growing fast and scaling the founding engineering team. Founded 2024 :6 people Industry: AI, Data, Financial Services, Enterprise The Role As a founding Member of Technical Staff on platform engineering, you will own the infrastructure behind the company's RL environments, develop increasingly realistic and long-horizon environments for frontier models, and help stand up the engineering org and its culture from scratch. What You'll Be Doing Build the training and inference infrastructure that supports customer usage of RL environments at scaleResearch and develop next-generation RL environments that are more realistic, longer-horizon, and harder for frontier modelsShip tooling that dramatically increases the quality and throughput of environment creationDesign synthetic data pipelines that generate realistic problemsBuild platform analytics for environment costs, throughput, bottlenecks, and expert managementCraft domain-specific verifiers and reward functions for financial workflows (e.g. presentation building, spreadsheet modeling, quantitative trading)Establish engineering practices and culture from the ground up Tech stack: Python, TypeScript, Docker, AI coding tools; cloud (AWS, S3) a plus Requirements 2–8 years of platform or full-stack engineering experience, ideally building RL environments or ML infrastructureTime spent at an early-stage startup (pre-seed to Series A), or experience as a founderA track record as a platform, full-stack, or backend engineer at fast-moving, high-growth companiesA degree in CS, ML, or a related technical fieldDemonstrated experience building scalable platforms for internal or external users (ML tooling, benchmarking, or agent products)A heavy user of AI coding tools who ships at high velocityBased in the Bay Area, or ready to relocate, and able to work on-site 5 days a week Nice to Haves Big-tech experience earlier in your career before moving to a startupHands-on experience building RL environments, evals, or benchmarks for AI agentsBackground in, or strong interest in, fintech or financial servicesExperience designing domain-specific verifiers or reward functions Why Join Frontier AI labs are already paying customers, with fast-growing revenue and momentumTrue founding ownership over platform engineering and the engineering org you'll help buildStrong benefits for the stage: fully covered healthcare, relocation support, 401k with a 4% match, free meals, gym, and covered transportation Details Location: San Francisco, CAWork policy: On-site, 5 days a weekCompensation: $200K–$250K + equityVisa sponsorship: Open to visa transfers (e.g. OPT, H-1B transfers)Employment type: Full-time