Machine Learning Engineer; Molecular Design
Job in
Tahoma, El Dorado County, California, 96142, USA
Listed on 2026-06-02
Listing for:
3B Staffing
Full Time
position Listed on 2026-06-02
Job specializations:
-
Software Development
Machine Learning/ ML Engineer, Data Scientist, Computer Science
Job Description & How to Apply Below
Location: Tahoma
Job Title: Machine Learning Engineer (Molecular Design)
Location: Hybrid - Bay Area, CA
Job Description:
We are seeking a Machine Learning Engineer with expertise in molecular design to support cutting-edge drug discovery initiatives. The role focuses on developing and optimizing ML workflows for molecular property prediction and generative modeling to accelerate research and innovation.
Key Responsibilities:
- Develop and implement machine learning models for molecular property prediction and generative molecular design.
- Collaborate with cross-functional teams to integrate ML workflows into drug discovery pipelines.
- Analyze and interpret complex molecular datasets to guide experimental design.
- Stay up-to-date with the latest research and publications in molecular modeling and computational chemistry.
- 3-5 years of experience in machine learning, computational chemistry, or molecular modeling, or a PhD with relevant publications in molecular design.
- Strong programming skills in Python and familiarity with ML frameworks (e.g., PyTorch, Tensor Flow).
- Hands-on experience with generative models, predictive modeling, and molecular simulations.
- Excellent analytical, problem-solving, and communication skills.
- Experience in drug discovery or pharmaceutical research environments.
- Familiarity with cheminformatics tools and molecular libraries.
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