Research Engineer (Biology)

LatchBio
San Francisco, CA
On-site

Who this role is best for

Aimed at mid-to-senior level engineers with biology and ML expertise who can take ownership of complex problems and deliver high-quality solutions.

Best fit for

  • Candidates with interdisciplinary experience in both ML and experimental biology
    — “understanding the intersection of biology and ML”
  • Engineers who thrive in collaborative, scientist-facing environments
    — “collaborating directly with scientists”
  • Individuals with a track record of shipping creative, useful solutions quickly
    — “ship creative, useful solutions”

Things to consider

  • The role requires in-person presence in San Francisco, with no indication of remote flexibility
    — “Our engineering team is in-person in San Francisco”
  • The hiring process involves a 3-day paid onsite project, which is a significant time commitment
    — “3-Day Paid Onsite Project”

How to stand out

  • Highlight experience with scientific benchmark design and data quality in your resume and interviews
    — “scientific benchmark design, and benchmark delivery”
  • Emphasize your ability to work fast and maintain quality under pressure
    — “maintaining quality at a fast cadence”
  • Showcase projects where you shaped tasks and rewards in ML contexts
    — “task and reward shaping”
Pace · SteadyCollaboration · MediumAutonomy · HighDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • AI benchmarks for biological work
  • multilayered reasoning in biology
  • maintaining quality at a fast cadence
Typical background
engineering experience in AI and biologyexcited to take ownership on hard problems

Skills & requirements

Required

Machine LearningData QualityTask And Reward ShapingML InfrastructureScientific Benchmark DesignBiological Reasoning

Preferred

Post-trainingBenchmark DeliveryCollaboration With Scientists

Stack & domain

AIML InfrastructureScientific Benchmark DesignBenchmark DeliveryPost-trainingData QualityTask And Reward ShapingUnderstanding Biology And MLCollaborating With ScientistsMaintaining QualityOwnershipProblem-solvingCommunicationTeamworkInnovationBiologyMLScientific BenchmarksPharma

About the role

Original posting from LatchBio via Ashby

Engineer Researcher

Latch builds scientific benchmarks at benchmarks.bio http://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

  • About Us https://latch.bio/about · Website https://latch.bio/ · Twitter https://x.com/LatchBio?lang=en · Blog https://blog.latch.bio/

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

Source: LatchBio careers (Ashby)

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