Machine Learning Engineer

Job Description

Our client, a world leader in diagnostics and life sciences, is looking for a "Machine Learning Engineer" based out of South San Francisco, CA.

Job Duration : Long Term Contract (Possibility Of Further Extension)

Company Benefits : Medical, Dental, Vision, Paid Sick leave, 401K

Job Description :

The successful candidate will manage projects deploying new techniques for machine learning based molecular optimization for the analysis and design of small and large molecule drugs within target-driven design campaigns. Special focus will be given to engineering pipelines for probabilistic molecular property prediction and Bayesian acquisition for active learning based drug discovery.

• Additional activities may extend to include engineering pipelines for molecular generative modeling
• 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.

Skills :

Qualifications :

PhD degree in a quantitative field (Computer Science, Chemistry, Chemical Engineering, Computational Biology, Physics), or MS degree and 3+ years of industry experience.

If interested, please send us your updated resume at

hr@dawarconsulting.com / kavitha@dawarconsulting.com