Member of Technical Staff - Platform Engineering ($200K–$250K + Equity) Developing RL Environments

About the jobThis role is being recruited by CoffeeSpace on behalf of an anonymous startup focused on developing realistic environments for training frontier AI agents, particularly in finance workflows.We’re identifying exceptional technical staff from our network. If there’s a strong fit, we’ll introduce you directly to the founding team.

Location: San Francisco, California, United StatesCompensation: $200K–$250K base + 0.15–0.3% equityEmployment type: Full-timeVisa: Visa sponsorship available, including H-1B transfers, TN, and STEM OPTAbout the companyThis company specializes in creating realistic reinforcement learning environments for frontier AI models, with a focus on financial services.

They have a small team of around 10 people and have recently raised $6M at an $80M valuation. Their customers include major AI companies like OpenAI and Anthropic.The company’s mission is to build software that significantly enhances the quality and throughput of RL environment creation. They are working on innovative synthetic data pipelines and platform analytics to support scalable customer usage.About the roleAs a founding member of the technical staff, you will own platform engineering and play a crucial role in building the engineering organization from the ground up. You will develop infrastructure for RL environment training and inference, innovate on synthetic data pipelines, and establish engineering culture and practices.What You’ll DoBuild RL environment training/inference infrastructure to support customer usage at scaleResearch and develop next-generation RL environments that are realistic and long-horizonInnovate on synthetic data pipelines to create realistic problemsCreate platform analytics to track data on RL environment costs and bottlenecksCraft domain-specific verifiers for financial services verticalsEstablish engineering culture and practices from the ground upWhy This Role Is CompellingWork with leading AI companies like OpenAI and AnthropicContribute to a startup with strong growth and financial backingDevelop RL platforms for high-impact finance workflowsEnjoy strong benefits including fully covered healthcare, relocation stipend, and 401k matchThe Ideal Candidate5–12 years of experience in a technical roleFamiliarity with building evaluations, benchmarks, and RL for AI agentsAbility to iterate quickly and prioritize a large roadmap of featuresComfortable with client-facing interactionsExperience with Python, TypeScript, Docker, AWS, and AI toolsNice To HaveResearch background in training models or publishing papersExperience as a founder or in early-stage startupsNext steps1. Apply via this LinkedIn job post2. We’ll review and reach out if there’s a strong match3. If aligned, we’ll introduce you directly to the team4. If this role isn’t the right fit, we may suggest and make introductions to other high-signal startup roles we’re recruiting for, always with your permission.A quick note on authenticityThis is a real, active role that CoffeeSpace is recruiting for in close partnership with the hiring team. We don’t post speculative roles and work directly with teams on their actual hiring needs.