Calico Life Sciences · 10 hours ago
Machine Learning / Senior Machine Learning Scientist / Engineer
South San Francisco, CA
Full-time
Hybrid
Mid, Senior Level
$170K/yr - $233K/yr
2+ years expCalico Life Sciences is a research and development company focused on understanding human aging through advanced technologies. They are seeking a Senior Machine Learning Scientist to develop innovative algorithms for modeling and designing proteins, collaborating with experimental biologists to refine machine learning predictions.
Responsibilities
Develop innovative machine learning algorithms to model and design proteins
Work with a team of dedicated experimental biologists to design experiments to test and iteratively refine machine learning predictions
Qualification
Required
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
Preferred
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
Benefits
This position is also eligible for two annual cash bonuses.
Company
Calico Life Sciences
Calico is an Alphabet-founded research and development company whose mission is to harness advanced technologies.
201-500 employees
H1B Sponsorship
Calico Life Sciences has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (12)
2024 (12)
2023 (7)
2022 (10)
2021 (5)
2020 (14)
Funding
Current Stage
Growth StageLeadership Team
Ashley Archuleta
Sr. Administrative Assistant to the Chief Business Officer
Jonathan Lewis
Chief Business Officer
Recent News
Research & Development World
2026-01-23
2026-01-22
2025-11-15
Company data provided by crunchbase