ML Engineer

🌟 We're Hiring: ML Engineer! 🌟

We are seeking to hire a Machine Learning Engineer in South San Francisco, CA.

📍 Location: South San Francisco, CA

⏰ Work Mode: Work From Office

💼 Role: Machine Learning Engineer

Pay Scale: $75, 691 – $168, 653 (Dependent on Experience)

What You'll Do

∙ You will join Prescient Design within the Computational Sciences organization in gRED.

∙ Your peers will be machine learning scientists, engineers, computational chemists, and

computational biologists.

∙ You will closely collaborate with scientists within Prescient and across gRED.

∙ You will develop machine learning and Bayesian optimization workflows to analyze existing,

and design new, small and large molecules.

∙ You will be expected to form close working relationships with small molecule and protein

therapeutic development efforts across the gRED organization.

What We're Looking For

∙ PhD degree in a quantitative field (e.g., Computer Science, Chemistry, Chemical

Engineering, Computational Biology, Physics), or MS degree and 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 innovate together!