Job Details

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Job Summary:

Altos Labs is dedicated to restoring cell health and resilience through cell rejuvenation. They are seeking a Machine Learning Engineer I/II to contribute to the development of foundation models for biology, working closely with a team of experienced engineers and computational scientists.

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

• Understanding user needs across a wide range of scientific disciplines, and communicating with users to build systems that they can use productively

• 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.

Qualifications:

Required:

• 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

• Experience with large scale machine learning tools and infrastructure

• Experience applying software engineering practices in a scientific environment, collaborating with cross-functional teams

• Strong written and verbal communication skills

Preferred:

• Familiarity with biological data formats, concepts, and computational models is a plus

Company:

Altos Labs focuses on cellular rejuvenation programming to restore cell health and resilience, to reverse disease to transform medicine. Founded in 2021, the company is headquartered in San Francisco, California, USA, with a team of 201-500 employees. The company is currently Growth Stage. Altos Labs has a track record of offering H1B sponsorships.

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