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# Machine Learning Engineer

- **Company:** Capable LLC
- **Location:** San Francisco, CA, United States
- **Contract:** Permanent contract
- **Skills:** Computer Simulation, Machine Learning, AlphaFold, Build Tools
- **Published:** November 4, 2026
- **Apply:** https://www.careerbuilder.com/job-details/machine-learning-engineer-san-francisco-ca--af7bc61d-bc2f-4574-848b-75e3a1c8935a

## About the Role

Machine Learning, Follow Through, Drug Discovery, Machine Learning, Identify Issues, Drug Development, Predictive Modeling, Analysis Skills, Candidate Sourcing, Candidate Screening, * Strong research judgment in biomolecular modeling and drug development, or a demonstrated ability and desire to develop that judgment quickly.

 * The ability to own an ambiguous problem end to end, from identifying the useful question through building, evaluating, and improving a working system.
 * A practical interest in wet-lab reality and in building tools around the constraints of experiments, operators, data quality, and scientific decisions.
 * Curiosity, strong analytical instincts, and a habit of testing whether a method creates real-world value rather than relying on benchmark performance alone.
 * Experience with active learning, data-constrained biological modeling, multimodal omics, imaging, phenotypic data, or production-scale agent platforms is helpful but not required.

## Description

You will build machine-learning systems that remove real bottlenecks from drug discovery and development. The role spans research and engineering: identifying valuable problems, adapting modern biomolecular models, building tools for scientists, and closing the loop between model predictions and wet-lab results. Success is measured by whether the systems accelerate better experiments and better drug-development decisions., * Work with scientists to identify high-value bottlenecks in drug discovery and development where machine learning can materially improve speed or decision quality.

 * Build systems for experiment planning, literature triage, protocol drafting, in silico screening, candidate generation, filtering, and predictive analysis.
 * Fine-tune and apply biomolecular models such as ESM, AlphaFold-family models, RFdiffusion, ProteinMPNN, and related approaches using Capable's data.
 * Develop candidate-analysis workflows that may include molecular dynamics, post-training, probing, evaluation, and other fit-for-purpose computational methods.
 * Work directly with wet-lab scientists and operators to automate preclinical or clinical-development workflows and make tools usable in practice.
 * Build active-learning loops that connect in silico predictions to in vivo results.
 * Create internal evaluations that measure whether models and tools improve experimental throughput, candidate quality, or program decisions., * Compensation and equity will depend on the skills, experience, and scope of impact you bring. We are open to a conversation based on the scope and impact you could bring.
 * $500+ monthly wellness budget for training, supplements, coaching, recovery, or other tools that help you perform at your best.
 * Healthcare: We offer a broad range of medical, dental, and vision coverage options, with Capable covering 100% of the base policy.
 * You will also have access to HSA, FSA, and 401K plans.
 * Healthy vegetarian dinners with the team are provided daily.
 * We support visa sponsorship where appropriate, including O-1, H-1B, J-1, TN, and other employment-based pathways. Our team is already international, with members from Canada, Pakistan, Germany, Austria, Switzerland, China, India, and the United States.