Calico Life Sciences ยท 1 week ago
Machine Learning Engineer
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Biotechnology Research
Insider Connection @Calico Life Sciences
Responsibilities
Develop innovative machine learning algorithms to model and design proteins.
Collaborate with experimental biologists to design experiments and refine machine learning predictions iteratively.
Implement, extend, and debug state-of-the-art machine learning models.
Design and build robust data infrastructure and tools.
Explore relevant ML literature and apply novel approaches to protein design problems.
Communicate ideas and results through publications and presentations.
Work cross-functionally to execute on complex projects.
Qualification
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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
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 a ML Engineer/Scientist
Benefits
Two annual cash bonuses
Company
Calico Life Sciences
Calico is an Alphabet-founded research and development company whose mission is to harness advanced technologies.
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
Trends of Total Sponsorships
2023 (4)
2022 (12)
2021 (5)
2020 (13)
Funding
Current Stage
Growth StageLeadership Team
Recent News
2024-03-28
2024-01-23
The New Stack
2023-12-16
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