Machine Learning Engineer

Job Description

• Calico is seeking a machine learning engineer to develop innovative machine learning algorithms to model and design proteins • 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 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

Qualifications

• 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

Benefits

• Actual pay will be based on a number of factors including experience and qualifications. • This position is also eligible for two annual cash bonuses.