Machine Learning Engineer – Systems

What You Will Contribute To Altos

Altos Labs is seeking a Machine Learning Engineer I/II who can accelerate and optimize our progress in developing foundation models for biology. This role is integral to our Computational Systems Modeling & Scaling team, working in a team of experienced ML and infrastructure engineers to deliver compelling internal frameworks, services, and expertise, and to train and deploy scalable, robust models. It will involve close collaboration with computational scientists from a diverse range of disciplines, including molecular modeling, computational biology, discrete simulation, machine learning, and artificial intelligence.

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.

Who You Are

Minimum Qualifications

• 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 Qualifications

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

The salary range for San Francisco Bay Area, CA:

Machine Learning Engineer I: $153,000 – $207,000
Machine Learning Engineer II: $178,500 – $241,500

The salary range for San Diego, CA:

Machine Learning Engineer I: $150,450 – $203,550
Machine Learning Engineer II: $170,000 – $230,000
Exact compensation may vary based on skills, experience, and location.