ZeroEntropy
ZeroEntropy trains small, specialized AI models — state-of-the-art rerankers, embeddings, and custom-trained models for production AI systems.
- Open roles
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Job facts
- Location
- San Francisco, CA, US
- Type
- Internship
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Y Combinator Work at a Startup
Machine Learning Engineering Intern (Summer 2026)
at ZeroEntropy
About Us:
ZeroEntropy is building next-generation technology for information retrieval over complex unstructured data.
We are a team of engineers and scientists from Berkeley, CMU, Ecole Polytechnique, USACO, and have become experts in information retrieval technologies.
We are a well funded startup out of Y Combinator, and have already gained great traction in the last few months.
We are looking for a highly skilled intern developer to join us on our mission to build the future of search.
What you will work on:
- Contribute to all phases of the development lifecycle, from theoretical research to deployment.
- Create state-of-the-art ML models, including LLMs for information retrieval, rerankers, embedding models, etc.
- Work autonomously on complex projects involving compilers, OS-level work, assembly, but also model architecture, training optimization, and more.
- Create scalable and low-latency infrastructure for a state-of-the-art search engine / database using Rust and k8s.
- Talk to customers to understand their needs, and improve on the technology to meet them.
Requirements:
- Proficiency in Rust/C/C++, Python, SML/OCaml, Assembly.
- Deep understanding of the tech stack down to the metal, including experience with assembly, EVM, graphics shaders, CUDA, or kernel work.
- Deep understanding of theoretical foundations in mathematics and computer science, including combinatorics/number theory/abstract algebra.
- Solid grasp of computer science fundamentals like algorithms, data structures, and time complexity, but also knowledge of functional programming concepts like map, filter, and reduce.
- Familiarity with software design principles and best practices.
- Experience or willingness to learn about scalability technologies like AWS/Azure, Docker, and Kubernetes.
- Bonus: any background in math/programming competitions.
About the internship
- Based in person in San Francisco.
- Small startup where you’ll be working closely with both founders, and exceptionally gifted interns already joining us for the summer.