Latent Labs

Technical Staff Member

Latent Labs

full-time

Posted on:

Location Type: Hybrid

Location: San Francisco • California • United States

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Job Level

Lead

About the role

  • Build machine learning models that work in the physical world
  • Contribute to a careful curation of our training and evaluation data.
  • Propose and build ML evaluation metrics that align with real world success and company goals.
  • Quickly prototype generative models against our lead metrics and perform deep analyses of improvements.
  • Collaborate in a joint codebase with other research scientists, engineers and protein designers, maintaining highest code standards.
  • Contribute to the maintenance of our compute and ML development infrastructure.
  • In collaboration with the bio team, plan wet lab testing campaigns and carry out model inference against biological targets to enable their testing in the wet lab.
  • Quickly learn from wet lab results and feedback data to our models.
  • Stay on top of the latest developments in ML.
  • Participate in knowledge sharing, e.g. organize and present at our internal reading group.
  • Attend and present at conferences.

Requirements

  • You are a strong ML researcher with experience in generative modeling.
  • You are a skillful ML developer.
  • You are a data engineer.
  • You are passionate about model performance.
  • You are mission driven and curious.
  • You have experience in computational biology or protein design.
  • You have a natural science background.
Benefits
  • Private health insurance
  • Pension/401(K) contributions
  • Generous leave policies (including gender neutral parental leave)
  • Hybrid working
  • Travel opportunities and more
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
machine learninggenerative modelingML evaluation metricsdata engineeringmodel inferencedeep analysisprototypingcode standardscompute infrastructurewet lab testing
Soft Skills
collaborationknowledge sharingcuriositymission drivenpassion for model performance