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Adaptive ML · United States · Senior · Hybrid
Adaptive ML is a frontier AI startup building a Reinforcement Learning Operations (RLOps) platform that enables enterprises to specialize and deploy LLMs into production with measurable impact. We provide the core infrastructure to tune, evaluate, and serve specialized models at scale — pioneering task-specific LLM development and running production-ready workflows that serve millions of requests while optimizing for cost and performance across distributed systems.
Our tightly-knit team was previously involved in the creation of state-of-the-art open-access large language models. We raised a $20M seed led by Index Ventures and ICONIQ in early 2024, and we are already live in production with customers including Manulife, AT&T, and Deloitte across travel and financial services — with much more to be announced soon.
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We are looking for a Performance Engineer to join our core engineering team and build the foundational technology powering Adaptive ML. This role sits at the heart of our systems infrastructure, combining high-performance software engineering with the rigour required to operate at scale in production AI environments.
You will write high-quality Rust, diagnose complex bugs at the hardware–software boundary, and contribute directly to the technical direction of the product. We are a distributed, asynchronous-first team that values depth, ownership, and clear communication.
The background below is only suggestive of a few pointers we believe could be relevant. We welcome applications from candidates with diverse backgrounds — do not hesitate to get in touch if you think you could be a great fit even if the below doesn’t fully describe you.