Deep Learning Scientist

Vilya • Seattle, WA

1d • $140,000 - $210,000

About The Position

Design, develop, optimize, and maintain deep learning frameworks that support and power Vilya’s drug design pipeline for macrocycles. Collaborate and communicate with fellow experts in deep learning as well as the broader interdisciplinary Vilya team, understand the domain problems, and apply deep learning to solve challenges. Apply and implement state of the art deep learning techniques in related fields (e.g. geometric deep learning, protein deep learning, etc…) to continuously improve our approaches to drug design and development.

Requirements

• Ph.D. (or equivalent industry experience) in computer science and/or mathematics
• Strong knowledge of linear algebra, calculus, statistics, and graph theory.
• Capable of applying a wide range of fundamental machine learning theories and methods to solve challenges, including active learning and generative modeling.
• Experience developing, deploying, and managing deep learning models and formatting large datasets for real-world problems.
• Clear mathematical understanding of the deep learning techniques relevant to the protein and small molecule deep learning field (e.g. Transformers, Graph Networks, equivariant neural networks, diffusion and flow-based models)
• Proficiency in the Python/Pytorch framework for developing deep learning models.
• Desire to continuously expand domain-specific knowledge.
• Ability to work well with an interdisciplinary team and to communicate complex scientific ideas to diverse audiences.

Nice To Haves

• 4+ years of hands-on experience in developing deep learning models.
• Developing and deploying deep networks at scale.
• Expertise in geometric deep learning and point cloud modeling.
• Expertise in transfer learning and parameter efficient fine tuning techniques.
• Experience performing deep learning on small molecule/protein structures and interactions.
• Exposure to concepts in drug discovery such as ADME / Tox / DMPK.

Responsibilities

• Design, develop, optimize, and maintain deep learning frameworks that support and power Vilya’s drug design pipeline for macrocycles.
• Collaborate and communicate with fellow experts in deep learning as well as the broader interdisciplinary Vilya team, understand the domain problems, and apply deep learning to solve challenges.
• Apply and implement state of the art deep learning techniques in related fields (e.g. geometric deep learning, protein deep learning, etc…) to continuously improve our approaches to drug design and development.

Benefits

• Opportunity to work in a disruptive startup with a talented, experienced, and dedicated team
• 401(k) plan with employer matching for contributions
• Stock options
• Excellent medical, dental, and vision coverage
• Open, flexible vacation policy
• Support to attend professional conferences meaningful to your career growth
• Monthly cell phone and internet stipend
• Monthly wellness and commuter stipend

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Ph.D. or professional degree
• Number of Employees: 11-50 employees