View on Hacker News
Roles
Compensation
USD 140000 - 180000
$140K–$180K + equity
- Salary period
- yearly
- Equity
- Equity
Benefits
- Equity
- $140K–$180K salary
Tech stack
Required
Nice to have
Location
San Francisco (SoMa)
Work setup
- Employment
- Full-time
- Level
- Mid-level
- Remote policy
- ON-SITE
- Remote scope
- onsite
Role details
Requirements
- At least 3 years of experience
- Willingness to learn OCaml
- Nice if you've done DSLs, compilers, life sciences or lab automation, an ML-family language, or LLM parsing and evals
Application
Apply via https://jobs.ashbyhq.com/tetsuwan/ad583fec-dc0a-4b6c-8171-416403a0e7ed/application
- Portfolio
- unclear
- GitHub
- unclear
- Cover letter
- unclear
- Apply flow
- ats
Company context
Build infrastructure for autonomous science and a centralized cloud lab.
- Product
- compiler and visual editor for scientists to describe biology experiment protocols and compile them to optimized code; infrastructure for autonomous science and a centralized cloud lab
- Industry
- unclear
- HQ
- SAN FRANCISCO, CA, USA
- Stage
- startup
- Open source
- unclear
Description
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. 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. Challenges include eliciting scientific context and tacit knowledge and ensuring a protocol deterministically runs 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 via the provided link.
Similar jobs
-
Loading similar jobs...