Machine Learning Engineering Intern (Summer 2026)

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.