Calico Life Sciences
Senior Machine Learning Research Scientist / Senior Machine Learning Engineer
Calico Life Sciences, South San Francisco, California, us, 94083
Senior Machine Learning Research Scientist / Senior Machine Learning Engineer
Join to apply for the
Senior Machine Learning Research Scientist / Senior Machine Learning Engineer
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Calico Life Sciences Senior Machine Learning Research Scientist / Senior Machine Learning Engineer
Join to apply for the
Senior Machine Learning Research Scientist / Senior Machine Learning Engineer
role at
Calico Life Sciences Get AI-powered advice on this job and more exclusive features. Who We Are
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. Who We Are
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.
Position Description
Calico is seeking a Senior 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.
The ideal candidate should be familiar with state-of-the-art machine learning techniques, including language/sequence modeling, representation learning, generative models, and self-supervised learning techniques. Candidates should have experience implementing, extending, and debugging state of the art machine learning models, and have expertise in designing and building robust data infrastructure and tools. Candidates should be independent, self-motivated and be expected to explore relevant ML literature and apply novel approaches to various protein design problems at Calico. Candidates must demonstrate a strong ability to communicate ideas and results through publications and presentations and be able to work cross-functionally to execute on complex projects.
Position Requirements
Ph.D. in Computer Science, Computational Biology, or related technical field plus 5+ years industry experience; OR M.S. in Computer Science, Computational Biology, or related technical field, plus 7+ 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 a ML Engineer/Scientist
The estimated base salary range for this role is $209,000 - $233,000. Actual pay will be based on a number of factors including experience and qualifications. This position is also eligible for two annual cash bonuses. Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Job function Science, Analyst, and Engineering Referrals increase your chances of interviewing at Calico Life Sciences by 2x Get notified about new Machine Learning Researcher jobs in
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Join to apply for the
Senior Machine Learning Research Scientist / Senior Machine Learning Engineer
role at
Calico Life Sciences Senior Machine Learning Research Scientist / Senior Machine Learning Engineer
Join to apply for the
Senior Machine Learning Research Scientist / Senior Machine Learning Engineer
role at
Calico Life Sciences Get AI-powered advice on this job and more exclusive features. Who We Are
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. Who We Are
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.
Position Description
Calico is seeking a Senior 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.
The ideal candidate should be familiar with state-of-the-art machine learning techniques, including language/sequence modeling, representation learning, generative models, and self-supervised learning techniques. Candidates should have experience implementing, extending, and debugging state of the art machine learning models, and have expertise in designing and building robust data infrastructure and tools. Candidates should be independent, self-motivated and be expected to explore relevant ML literature and apply novel approaches to various protein design problems at Calico. Candidates must demonstrate a strong ability to communicate ideas and results through publications and presentations and be able to work cross-functionally to execute on complex projects.
Position Requirements
Ph.D. in Computer Science, Computational Biology, or related technical field plus 5+ years industry experience; OR M.S. in Computer Science, Computational Biology, or related technical field, plus 7+ 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 a ML Engineer/Scientist
The estimated base salary range for this role is $209,000 - $233,000. Actual pay will be based on a number of factors including experience and qualifications. This position is also eligible for two annual cash bonuses. Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Job function Science, Analyst, and Engineering Referrals increase your chances of interviewing at Calico Life Sciences by 2x Get notified about new Machine Learning Researcher jobs in
South San Francisco, CA . San Mateo, CA $140,000.00-$210,000.00 1 month ago San Francisco, CA $225,000.00-$325,000.00 6 months ago San Francisco, CA $120,000.00-$180,000.00 3 weeks ago Machine Learning Research Engineer (1 Year Fixed Term)
Stanford, CA $126,810.00-$151,461.00 2 weeks ago San Mateo, CA $195,000.00-$255,000.00 8 months ago AI Engineer & Researcher - Pre-training Scaling, Data, and Eval
Palo Alto, CA $180,000.00-$440,000.00 2 weeks ago Head of Computer Vision and Machine Learning
Redwood City, CA $160,000.00-$220,000.00 1 year ago Machine Learning Research Scientist / Engineer, Reasoning
San Francisco, CA $115,000.00-$185,000.00 2 weeks ago AI Engineer & Researcher - Personality - Post-Training
Distinguished Research Scientist, Physics Informed AI
San Francisco, CA $199,900.00-$323,400.00 7 hours ago San Francisco, CA $160,000.00-$230,000.00 2 weeks ago San Francisco, CA $150,000.00-$250,000.00 1 month ago Machine Learning Engineer, Monetization Engineering
San Francisco, CA $100,000.00-$300,000.00 2 weeks ago AI Engineer & Researcher - Product Safety
San Francisco, CA $130,000.00-$240,000.00 1 month ago San Francisco, CA $160,000.00-$250,000.00 1 month ago San Francisco, CA $120,000.00-$200,000.00 11 months ago Machine Learning Engineer (I, II, or Sr.)
Machine Learning Scientist, Open-Endedness (Level Flexible)
Machine Learning Engineer, Reinforcement Learning, Self-Driving
Machine Learning Engineer, Monetization Engineering
We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr