We work with robots that run biology experiments. The robots are accurate, but programming them by hand takes so long that most labs don't bother. So we wrote a compiler and visual editor a scientist can use. They describe their protocol in plain language, we parse it into a structured format, and compile that to optimized code. Our end goal is to build the infrastructure for autonomous science and a centralized cloud lab. Short demo: https://tinyurl.com/mrx63phb The team is three software engineers, an automation engineer, the founders, and soon a designer. The codebase is one monorepo containing an OCaml compiler, Python backend services, and a TypeScript/React editor. The challenges come in the form of eliciting scientific context and tacit knowledge and in the fact that a protocol has to deterministically run correctly. We are looking for at least 3 years of experience. OCaml isn't a requirement, just a willingness to learn it. Nice if you've done DSLs, compilers, life sciences or lab automation, an ML-family language, or LLM parsing and evals. Apply: https://jobs.ashbyhq.com/tetsuwan/ad583fec-dc0a-4b6c-8171-41...
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