Job Details

Machine Learning Engineer – Prescient Design

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We are seeking a skilled and innovative Machine Learning Engineer to join our dynamic team at Prescient Design. The ideal candidate will have a strong background in machine learning algorithms, data analysis, and software engineering to help drive our projects forward.

???? Location: South San Francisco, CA

⏰ Work Mode: Work From Office

???? Role: Machine Learning Engineer

Pay Scale: $97,803 – $158,946 (Dependent on Experience)

What You'll Do

• Join Prescient Design within the Computational Sciences organization in gRED.
• Collaborate closely with scientists within Prescient and across gRED.
• Develop machine learning and Bayesian optimization workflows to analyze existing and design new small and large molecules.
• Form close working relationships with small molecule and protein therapeutic development efforts across gRED.
• Work on existing projects and generate new project ideas.

What We're Looking For

• PhD in a quantitative field (e.g., Computer Science, Chemistry, Chemical Engineering, Computational Biology, Physics), or MS with ≥3+ years of industry experience.
• Demonstrated experience with machine learning libraries in production-ready workflows (e.g., PyTorch + Lightning + Weights and Biases).
• Record of achievement, including at least one high-impact first author publication or equivalent.
• Excellent written, visual, and oral communication and collaboration skills.
• Experience with physical modeling methods (e.g., molecular dynamics) and cheminformatics toolkits (e.g., rdkit).

Ready to make an impact? ???? Apply now and let's grow together!