https://www.ycombinator.com/companies/foundry/jobs/uwi8b6I-founding-engineer-ml-x-swe Y Combinator About What Happens at YC?ApplyYC Interview GuideFAQPeopleYC Blog Companies Startup DirectoryFounder DirectoryLaunch YC Startup Jobs All Jobs* Engineering* Operations* Marketing* SalesStartup Job Guide YC Startup Jobs Blog Find a Co-Founder Library SAFE Resources Startup SchoolNewsletterRequests for StartupsFor InvestorsHacker News Bookface Open main menu Apply for S2025 batch.Apply [58c5d9a291] Foundry World Model for Browser Agents Founding Engineer (ML x SWE) $120K - $180K / 3.00% Location San Francisco, CA, US / Remote (US) Job Type Full-time Experience 3+ years Connect directly with founders of the best YC-funded startups. Apply to role > Manil Lakabi Manil Lakabi Founder About the role Stop building GPT wrappers. Build a world model instead. --------------------------------------------------------------------- Why Foundry exists: Every SaaS app, enterprise tool, and internal workflow without an API will soon be automated by browser agents--not traditional API integrations. Tens of trillions of dollars in global labor depend on browser-based workflows that no AI system can reliably automate today. But browser agents right now are like GPT-1: impressive demos, but brittle and broken in practice. To scale browser agents from GPT-1 demos to GPT-4 reliability--and unlock this enormous economic leap--they need purpose-built infrastructure: * Hyper-realistic, deterministic web simulations * Comprehensive annotation framework for labeling and debugging * Reliable benchmarks immune to web drift, IP bans, and rate limits * Robust RL training environments and infrastructure No one's built it yet. We're going first. We're building exactly this--core infrastructure designed from first principles, specifically for browser agents. No incremental tools, no wrappers around GPT--just the foundational AI stack everyone else will depend on later. Our founding team is ex-Scale AI & Meta --------------------------------------------------------------------- What we're looking for: A founding engineer who's cracked at software engineering--but who now wants to ship core ML systems and RL infrastructure from scratch. This is not another prompt-engineering job. You'll: * Build a browser agent gym--sparse rewards, non-determinism, messy DOM trees. * Solve hard ML problems at the edge of production--every single day. --------------------------------------------------------------------- You probably: * Are a killer engineer (Python, TypeScript) * Ship insanely fast--internships, side projects, OSS, real research--things you've built yourself. * Have real ML exposure: trained models, built infra, ran experiments. * Have strong OSS contributions, publications we'd recognize, or both. * Want a grind. Want to get better. Want to build something genuinely novel. --------------------------------------------------------------------- Bonus points: * You've built RL agents, browser automation (Puppeteer, Playwright), or eval tooling. * You're tired of wrapping APIs and fine-tuning HuggingFace models--ready to do something deeper. --------------------------------------------------------------------- Why join: * Real-world ML infrastructure, real users, real technical complexity. * Early equity, competitive pay, and massive growth trajectory. We're building core infra. The ML stack everyone else will use later--that's what we're shipping today. --------------------------------------------------------------------- If you've read this far, you probably get it. Reach out directly--let's build. About Foundry We're building the first end-to-end evaluation and training platform for web agents. Our system enables teams to test, benchmark, and optimize browser automation models at scale. * Deterministic Web Simulation - Stable, reproducible testing with versioned web snapshots. * Live Web Evaluation - Identify failures caused by UI drift, captchas, and dynamic content. * Automated Annotation & Labeling - Generate high-quality training data for benchmarking. * RL-Driven Agent Optimization - Improve models with scalable, feedback-driven learning. By combining synthetic user simulations, automated evaluations, and large-scale benchmarking, we help teams build more reliable web agents that handle real-world environments with confidence. Foundry Foundry Founded:2024 Batch:F24 Team Size:2 Status: Active Location:San Francisco X (Twitter) logo Founders Manil Lakabi Manil Lakabi Founder Pranav Raja Pranav Raja Founder Footer Y CombinatorY Combinator Programs * YC Program * Startup School * Work at a Startup * Co-Founder Matching Company * YC Blog * Contact * Press * People * Careers * Privacy Policy * Notice at Collection * Security * Terms of Use Resources * Startup Directory * Startup Library * Investors * SAFE * Hacker News * Launch YC * YC Deals Make something people want. Apply TwitterFacebookInstagramLinkedInYoutube (c) 2025 Y Combinator