Machine Learning / Senior Machine Learning Scientist / Engineer

Calico • South San Francisco, CA

74d • $170,000 - $233,000

About The Position

Calico (Calico Life Sciences LLC) is an Alphabet-founded research and development company whose mission is to harness advanced technologies and model systems to increase our understanding of the biology that controls human aging. Calico will use that knowledge to devise interventions that enable people to lead longer and healthier lives. Calico’s highly innovative technology labs, its commitment to curiosity-driven discovery science, and, with academic and industry partners, its vibrant drug-development pipeline, together create an inspiring and exciting place to catalyze and enable medical breakthroughs. Calico is seeking a machine learning engineer to develop innovative machine learning algorithms to model and design proteins. This person will work with a team of dedicated experimental biologists to design experiments to test and iteratively refine machine learning predictions.

Requirements

• Ph.D. in Computer Science, Computational Biology, or related technical field; or M.S. in Computer Science, Computational Biology, or related technical field, plus 2+ years industry experience
• Experience in applying deep learning to model biological sequences and structures
• Expert in TensorFlow, PyTorch, and/or JAX
• Strong software engineering skills and substantial expertise in Python
• Track record of outstanding communication and collaboration in a cross-functional environment
• Strong analytical and quantitative skills
• Must be willing to work onsite at least four days a week

Nice To Haves

• Domain expertise in computational biology, biochemistry or structural biology
• Familiarity with state of the art structure modeling tools such as AlphaFold
• Public recognition in the field, e.g. via scientific publications or success in machine learning competitions
• Prior experience working with biologists
• Prior experience working as an ML Engineer/Scientist

Responsibilities

• Develop innovative machine learning algorithms to model and design proteins.
• Work with a team of experimental biologists to design experiments.
• Test and iteratively refine machine learning predictions.
• Explore relevant ML literature and apply novel approaches to protein design problems.
• Communicate ideas and results through publications and presentations.
• Collaborate cross-functionally to execute on complex projects.

Benefits

• Estimated base salary range of $170,000 - $233,000
• Eligible for two annual cash bonuses

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Ph.D. or professional degree
• Number of Employees: 251-500 employees