AI Scientist, Deep Learning

Key Skills

Data science techniques, Deep Learning, Geometry, Machine learning techniques, NumPy, Pandas, Python Programming, PyTorch, SciPy

Job Description

AI Scientist, Deep Learning role at Vancouver, WA, USA office.

We are seeking Research Scientists to join our world-class Artificial Intelligence (AI) team and advance generative models for protein drug design. As a Research Scientist, you will develop advanced machine learning techniques that will be deployed for the creation of lifesaving drugs. We are looking for people who can draw on significant expertise in deep learning or related disciplines such as natural language processing, protein design, and computer vision, to develop innovative models that can learn from and generate new proteins. This position can be Remote, Hybrid or Onsite in Vancouver, WA, New York, New York or Belgrade, Serbia.

Example responsibilities

• Design, implement and evaluate cutting-edge generative models for protein design
• Effectively report and communicate research findings to AI and wet-lab teams across the company
• Develop sampling techniques for designing diverse proteins
• Collaborate with data scientists and wet-lab biologists on the design and integration of wet-lab experiments
• Deploy large-scale distributed training systems on our in-house A100-based supercomputer

Qualifications

• PhD in Machine Learning or equivalent practical experience
• Publications at major machine learning conferences & scientific journals, or extensive experience creating deep learning models in industry
• Strong Python programming skills, including with Numpy, Scipy, and Pandas, with emphasis on data science and machine learning applications.
• Experience designing and training complex deep learning models in PyTorch or related platforms
• Demonstrated ability to work collaboratively on projects with multiple contributor.

Preferred (but not required):

• Industry experience developing and training deep learning models, preferably in the life-sciences domain
• Background in structural biology
• Experience with antibody / biologics engineering
• NGS analysis experience
• Experience with large-scale multi-node training on an HPC GPU cluster
• Hands-on experience developing deep generative models for language modeling or geometric applications

The salary range for this position is $80,000 - $250,000/year. Competitive equity package applies. Pay offered may vary considerably depending on job-related knowledge, skills, and experience, with an emphasis in machine learning, engineering, and modeling expertise. In addition to equity, compensation package includes a wide range of medical, dental, vision, and other benefits.