Senior Machine Learning Engineer

Our Mission

To restore cell health and resilience through cellular rejuvenation programming to reverse disease, injury, and the disabilities that can occur throughout life.

For more information, see our website at altoslabs.com.

Diversity at Altos

We believe that diverse perspectives are foundational to scientific innovation and inquiry. 

We are building a company where exceptional scientists and industry leaders from around the world work side by side to advance a shared mission. 

Our intentional focus is on Belonging, so that all employees know that they are valued for their unique perspectives. 

At Altos, we are all accountable for sustaining a diverse and inclusive environment.

What You Will Contribute to Altos

The Altos Labs Data & ML Platform group is building a high-performance, scalable, flexible platform for managing scientific data and models across many different modalities. We will enable and accelerate the Altos science mission by making all our data easily findable, interpretable, and accessible for machine learning and exploratory data analysis, and making all our models easily trainable, findable, interpretable, and accessible across diverse research groups.

Responsibilities

• Motivated to build, deploy, and manage systems to organize diverse kinds of scientific data, scientific analysis, and machine learning workflows in an integrated, usable framework
• Interested in understanding user needs across a wide range of scientific disciplines, and communicating with users to build systems that they can use productively
• Demonstrated software engineering skills in developing reliable, scalable, performant distributed systems in a cloud environment
• Designing and building large-scale data systems including metadata management, storage tiering, lineage tracing, versioning, partitioning, data transformation pipelines, etc.
• Designing and building large-scale machine learning systems including data transformation pipelines, model management & serving, versioning & dependency management, data lakes, feature stores, etc.
• Capable of proposing, building, and owning complex system designs and integrating them into a coherent whole
• Champion maintainable, scalable, and reusable software engineering techniques and acts as an ambassador to promulgate tools and practices to the research community.
• Mentor software engineers and computational scientists, evangelizing best practices around development tools, CI/CD, and other methods to improve code quality and efficiency.

Who You Are

Required Qualifications

• M.S. or Ph.D. in Computer Science, or related quantitative field, or equivalent technical experience
• 3+ years software development experience
• Experience with one or more programming languages commonly used for large-scale data management and machine learning, such as Python, C++, Scala, Julia, etc., and related software engineering frameworks and processes such as package management, CI/CD, etc.
• Experience applying software engineering practices in a scientific environment, or another environment with similar characteristics
• Strong knowledge and understanding of data management systems, software development frameworks, cloud computing, and/or distributed/parallel computing.
• Demonstrated track record of hands-on technical leadership.
• Excited to design, implement, and evangelize technical and cultural standards across scientific and technical functions.

 

The salary ranges for this position are: San Diego $170,000 to $230,000; Redwood City $186,150 to $251,850; Cambridge UK £83,300 - £112,700

 

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What We Want You To Know

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

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. 

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 sincer