NomadicML is building the platform for ultra-specific video insights delivered as actionable & real-time intelligence. We are solving big problems in semantic video understanding, cost-effective optimization of fine-tuning & inferencing of VLMs, and ML component orchestration.
We are based out of San Francisco, CA 🌁, and are backed by leading investors and enterprises such as **Pear VC (**early investor in billion dollar companies like DoorDash, Gusto, Branch and Vanta) BAG VC, Confluent (authors of Apache Kafka & Flink) and Cognition AI (makers of Devin the AI SWE).
💨 Work on hard engineering problems in ML Systems
⛰️ Shape the foundational technology of a fast-growing space of multi-agentic AI applications.
🤖 Work with cutting edge AI companies in autonomous ground and aerial vehicles and robotics.
🚀 Join an early seed, fast-growing startup.
🧠 Work on fundamental engineering challenges for realtime AI systems
📍 Primarily in-person at our San Francisco office with hybrid flexibility.
Mustafa and Varun met at Harvard, where they both did research in the intersection of computation and evaluations. Between them, they have authored multiple published papers in the machine learning domain and hold numerous patents and awards. Drawing on their experiences as tech leads at Snowflake and Lyft, they founded NomadicML to solve a critical industry challenge: elevate critical operations of video-ingesting enterprises with domain-specific semantic reasoning.
We are currently hiring for the following roles:
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**Founding Machine Learning Engineer 📍** San Francisco, CA
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**Founding Machine Learning Infrastructure Engineer 📍** San Francisco, CA
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**Generalist 📍** San Francisco, CA
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**Click here** to learn more about the roles and apply.