Senior Machine Learning Research Scientist / Senior Machine Learning Engineer

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
• Self-Supervised Learning Techniques

Candidates should have experience implementing, extending, and debugging state-of-the-art machine learning models, as well as expertise in designing and building robust data infrastructure and tools. Applicants must be independent, self-motivated, and able to explore relevant ML literature and apply novel approaches to various protein design problems at Calico. Strong communication skills are essential for conveying ideas and results through publications and presentations, as well as for collaborating cross-functionally to execute complex projects.

Position Requirements - Ph.D. in Computer Science, Computational Biology, or a related technical field plus 5+ years of industry experience; OR M.S. in Computer Science, Computational Biology, or a related technical field plus 7+ years of industry experience - Experience in applying deep learning to model biological sequences and structures - Expert in TensorFlow, PyTorch, and/or JAX - Strong software engineering skills with 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

The estimated base salary range for this role is $217,000 - $223,000. Actual pay will be based on several factors, including experience and qualifications. This position is also eligible for two annual cash bonuses.