Altos Labs is seeking a Machine Learning Engineer to accelerate and optimize progress in developing foundation models for biology.
Requirements
Experience with large scale machine learning tools and infrastructure
Experience applying software engineering practices in a scientific environment, collaborating with cross-functional teams
Familiarity with biological data formats, concepts, and computational models is a plus
Responsibilities
Training, evaluating, and optimizing large-scale machine learning systems including data transformation pipelines, feature stores, distributed training, architecture optimization, model management & serving, etc.
Building, deploying, and managing systems to accelerate large-scale machine learning workflows in an integrated, usable framework
Developing reliable, scalable, performant systems in a cloud environment
Employing maintainable, scalable, and reusable software engineering techniques
Demonstrating best practices around development tools, CI/CD, and other methods to improve code quality and efficiency.
Other
M.S. or Ph.D. in Computer Science, or related quantitative field, or equivalent technical experience
Candidates should have 1-4 years of relevant industry and/or academic experience
Strong written and verbal communication skills
Altos currently requires all employees to be fully vaccinated against COVID-19, subject to legally required exemptions
