Machine Learning Engineer - Systems

Mission

Our mission is to restore cell health and resilience through cell rejuvenation to reverse disease, injury, and the disabilities that can occur throughout life.

Value

Our Single Altos Value: Everyone Owns Achieving Our Inspiring Mission.

Diversity at Altos

We believe that diverse perspectives are foundational to scientific innovation and inquiry. At Altos, exceptional scientists and industry leaders from around the world work together to advance a shared mission. Our intentional focus is on Belonging, so that all employees know that they are valued for their unique perspectives. We are all accountable for sustaining a diverse and inclusive environment.

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.

Salary Range: San Francisco Bay Area, CA

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

Salary Range: 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.

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What We Want You To Know

We are a culture of collaboration and scientific excellence, and we believe in the values of inclusion and belonging to inspire innovation.

Equal Employment Opportunity

Altos Labs provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

COVID 19 Vaccination

Altos currently requires all employees to be fully vaccinated against COVID 19, subject to legally required exemptions (e.g., due to a medical condition or sincerely held religious belief).

Thank You

Thank you for your interest in Altos Labs where we strive for a culture of scientific excellence, learning, and belonging.

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