LatchBioResearch Engineer (Biology)
LatchBio is hiring a Research Engineer (Biology) in San Francisco, United States. It pays $175k-$250k a year and Level rates it ; you can apply on LatchBio.
Level's read on this job
- Builds AI ●●●● is how Level rates this role: the job is building AI systems.
- The posting mentions AI agents among its tools and skills.
- LatchBio has 28 other open roles on Level.
- Posted in the last few days.
AI in this role
Engineer Researcher
Latch builds scientific benchmarks at benchmarks.bio that measure how well AI agents do real biology. Frontier AI labs and pharma companies use them to answer one question: can an agent handle the multilayered reasoning that biological work demands? Every benchmark is grounded in experimental and clinical work and built by scientists who have done that work themselves.
The Role
You will be working on problems in post-training, data quality, task and reward shaping, ML infrastructure, scientific benchmark design, and benchmark delivery. Challenges span understanding the intersection of biology and ML, collaborating directly with scientists, and maintaining quality at a fast cadence.
How we work
Our engineering team is in-person in San Francisco. We look for driven engineers who are excited to take ownership on hard problems and ship creative, useful solutions
Learn More About Us
Hiring process
Our process is typically completed within two weeks.
• Round 1: Introduction
• Round 2: Takehome Assessment
• Round 3: Technical
• Round 4: Final/ 3-Day Paid Onsite Project
• Offer
How we rate this
Research Engineer (Biology) at LatchBio rates 90 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- How do you decide when an AI agent can act on its own versus asking for approval first?
- How would you decide a model or AI system is ready to ship?
- Tell me about a time a model underperformed in production. How did you find out, and what did you change?
Adapt your resume
- List these exact terms on your resume: AI agents. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.
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