As a founding AI/ML Research Engineer at Generalcatalyst.com, you will bridge the gap between cutting-edge research and production systems. You'll build autonomous agents that reason, plan, and execute complex workflows across GUI and legacy systems. This is a high-impact role working directly with founders to define the future of enterprise automation.
Founding AI/ML Research Engineer at Generalcatalyst
Join Generalcatalyst.com as a Founding AI/ML Research Engineer and build the world's fastest computer-use agents for enterprise automation. Backed by Y Combinator (W26), you’ll work directly with founders—Vansh Ramani (IIT Delhi, CMU AI researcher) and Shourya Vir Jain (McKinsey)—to develop AI that operates just like a human at the keyboard. This role offers a unique intersection of cutting-edge ML research and real-world deployment, allowing you to ship production systems that automate legacy apps and web portals at 10x speed. With a significant 0.30%-1.20% equity stake, this is a career-defining opportunity to shape the core technology of a high-growth startup in San Francisco.
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Location
San Francisco, United States
Compensation
Not Disclosed + 0.30%-1.20% Equity
Company
Generalcatalyst
Role overview
General Catalyst is a global venture capital and investment firm partnering with entrepreneurs from seed stage to growth, specializing in transformational investments across sectors including technology, healthcare, fintech, and applied artificial intelligence. Founded in 2000, the firm manages $40+ billion assets under management as of June 2025 and has a portfolio of over 800 companies such as Airbnb, Stripe, HubSpot, and Snap. With offices in San Francisco, New York City, Boston, Berlin, Bangalore, and London, General Catalyst collaborates with founders to drive innovation, global resilience, and technology transformation.
What you will do
- Research and design multi-agent coordination strategies including context management, memory architectures, and resource utilization.
- Develop robust reasoning pipelines such as chain-of-thought and reflexion agents that remain reliable under distribution shift.
- Implement visual reasoning systems using Vision-Language Models (VLMs) for advanced GUI understanding and screen interpretation.
Who this is a fit for
- Recent PhD or Master’s graduate from a top-tier program like Stanford, MIT, or CMU with a track record in AI/ML.
- Proven research background with publications at top venues such as NeurIPS, ICML, ICLR, ACL, or CVPR.
- Engineering proficiency in Python, PyTorch, and agentic orchestration frameworks like LangChain, LangGraph, or AutoGen.
Why this role is remarkable
- Secure a ground-floor opportunity with 0.30%-1.20% equity in a YC W26 company with strong investor backing.
- Work directly with founders from IIT Delhi, CMU AI research, and McKinsey to shape the core technology from day one.
- Bridge the gap between elite AI research and production by shipping systems that automate workflows at 10x speed.
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