Senior Machine Learning Scientist

Well-funded, innovative biotech startup. Excellent benefits, meaningful product, room for growth!

This Jobot Job is hosted by: Grant Greenhalgh
Are you a fit? Easy Apply now by clicking the "Quick Apply" button and sending us your resume.
Salary: $175,000 - $250,000 per year

A bit about us:

We’re an innovative biotechnology company applying advanced machine learning and computational science to design and test molecules. This is an opportunity to join a growing research team developing next-generation predictive models for molecular design, drug discovery, and complex scientific challenges.

Why join us?

• Well-Funded
• Complex & Exciting Technical Problems
• Excellent Healthcare, Vision and Dental benefits.
• Yearly bonus
• Competitive Salary
• Upward mobility & Growth

Job Details

We’re seeking a Senior Machine Learning Scientist to help develop, improve, and scale sophisticated ML models used in computational drug discovery. The ideal candidate brings strong expertise in machine learning architecture and model development, along with experience applying these techniques to molecular science, computational chemistry, or related scientific disciplines.

Key Responsibilities

• Design, develop, adapt, and optimize machine learning models for scientific applications.
• Improve model accuracy, efficiency, and predictive performance.
• Work with molecular modeling, protein-related predictions, and computational drug discovery techniques.
• Develop and optimize model training workflows, including GPU-based computing.
• Collaborate with computational scientists and researchers to translate scientific challenges into ML solutions.

Ideal Background

• Strong Python programming skills and experience with PyTorch or similar ML frameworks.
• Professional experience developing, training, or substantially improving machine learning models.
• Background in computational chemistry, molecular machine learning, structural biology, or related scientific fields.
• Familiarity with deep learning architectures, generative modeling, or physics-informed ML.
• Experience with GPU computing, model optimization, or high-performance computing.
• Advanced degree in Machine Learning, Computer Science, Chemistry, Physics, Computational Biology, or a related discipline preferred.

Interested in hearing more? Easy Apply now by clicking the "Quick Apply" button.

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