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 Himanshu01@kanakits.com .

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 Master's 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 client's 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).

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