Machine Learning Engineer
Machine Learning Engineer
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1 Vacancy
Job Description
Hello There
My name is Himanshu Sharma and I serve as the Recruitment Lead at Kanak-IT INC. I am reaching out to share an excellent career opportunity for the role of Machine Learning Engineer with our esteemed client. If you are interested then please share your updated resume at .
Job Description
Title: Machine Learning Engineer
Location: South San Francisco CA - hybrid role in Bay Arear
Position Type: Contract
Note: DO NOT SEND WITHOUT MOLECULAR EXPERIENCE
Work on ML workflows for molecular property prediction & generative modeling to accelerate drug discovery. 3 5 yrs esp. or PhD with publications in molecular design.
Must have Masters or PH.D. Must have experience in working environment or while getting Masters or no to very little work exp with PH.D in Molecular design. Need to have portfolio of their work or be published. Find me Machine Learning with Molecular experience in Bay Area or someone who will relocate as last resort.
MindSource is looking for a Machine Learning Engineer to join our clients team in South San Francisco CA. They will be developing and deploying advanced computational methods for molecular design. This is a 12-month hybrid contract.
About the Role
- Build pipelines for probabilistic molecular property prediction and Bayesian acquisition to power active learning driven drug discovery.
- Engineer workflows for molecular generative modeling and other innovative design approaches.
- Collaborate with machine learning scientists engineers computational chemists and biologists.
- Partner with therapeutic development teams to analyze existing molecules and design new candidates.
- Contribute to ongoing initiatives while driving new research directions.
Qualifications
- PhD in Computer Science Chemistry Chemical Engineering Computational Biology Physics or related quantitative field - OR MS 3 years of relevant industry experience.
- Demonstrated expertise in production-ready ML workflows (e.g. PyTorch Lightning Weights & Biases).
- Strong track record of achievement (e.g. high-impact first-author publication or equivalent).
- Excellent written visual and verbal communication skills.
Preferred Experience
- Knowledge of physical modeling (e.g. molecular dynamics) and cheminformatics (e.g. RDKit).
- Background in molecular property prediction computational chemistry de novo drug design medicinal chemistry small molecule design self-supervised learning geometric deep learning Bayesian optimization probabilistic modeling or statistical methods.
- Hands-on experience with Python PyTorch Torch Geometric PyTorch Lightning RDKit and BoTorch.
- Public portfolio of computational projects (e.g. GitHub).
Employment Type
Full-time
