Capable

Capable

Machine Learning Researcher

San Francisco

Sponsorship not specified$130k-$300kDetected 25 days ago
Machine LearningRecruitingResearchAnimal StudiesCollaborationMentoring

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odds of building a lasting career here

37Unrated
Cap-exempt (no lottery)0
Sponsors this role0
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70

No strong sponsorship signal in the public record yet. In the full product we resolve the exact legal entity and show its filing history with a confidence score — treat as unverified until then.

Lottery odds assume a STEM candidate.

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About the role

  • We are a vibrant and intensely mission-driven team in San Francisco, comprising members from MIT, Harvard Medical School, Roche, ETH, and Dana-Farber.
  • In an early-stage environment, we value people who can bring clarity to open-ended problems, take ownership of the next steps, and follow through with energy.
  • Capable Labs is a place for ambitious, high-integrity people who want to become dramatically better.

Responsibilities

  • Identify high-impact bottlenecks across our drug discovery pipeline and develop targeted ML approaches to address them.
  • Build systems that support experiment planning, literature triage, protocol drafting, and in silico candidate screening.
  • Develop tools to automate work across the preclinical and clinical stack in close collaboration with wet-lab scientists and operators.
  • Fine-tune and apply protein and structure models, including ESM, AlphaFold-family models, RFdiffusion, and ProteinMPNN, on in-house data to generate and optimize candidates across programs.
  • Develop and implement methods for drug design, including candidate generation, filtering, in silico modeling, and predictive analysis. Relevant approaches may include molecular dynamics, post-training biomolecular models, and probe-based model evaluation.
  • Build internal evaluations that measure whether ML systems are accelerating drug development in practice.
  • We support visa sponsorship where appropriate, including O-1, H-1B, J-1, TN, and other employment-based pathways.

Requirements

  • You are curious and data-driven
  • You are motivated to accelerate drug development.

Compensation

  • $130,000-$300,000 salary, plus equity options with an implied current value of approximately $50,000-$200,000 before exercise cost, taxes, dilution, and liquidity risk.

Benefits

  • $130,000-$300,000 salary, plus equity options with an implied current value of approximately $50,000-$200,000 before exercise cost, taxes, dilution, and liquidity risk.
  • $500+ monthly wellness budget for training, supplements, coaching, recovery, or other tools that help you perform at your best.
  • You will also have access to HSA, FSA, and 401K plans.
  • Close the loop between in silico predictions and in vivo results using active learning methods.
  • We read every referral carefully, and if your referral joins Capable, we'll send you a thank-you bonus.

Company info

  • ABOUT THE ROLE We are a vibrant and intensely mission-driven team in San Francisco, comprising members from MIT, Harvard Medical School, Roche, ETH, and Dana-Farber.
  • If your background, experience, or compensation needs fall outside this range, we are still open to a conversation based on the scope and impact you could bring.

Visa & Work Authorization

  • We support visa sponsorship where appropriate, including O-1, H-1B, J-1, TN, and other employment-based pathways.
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