Senior Lead Machine Learning Infrastructure Engineer

Labcorp Genetics (formerly Invitae) is seeking a Senior Lead Machine Learning Infrastructure Engineer to spearhead their ML platform development. This role is crucial in supporting the company's mission of bringing comprehensive genetic information into mainstream medicine. The position offers a competitive salary range of $140,000-$200,000 annually, with comprehensive benefits including medical, dental, vision coverage, and 401(k).

The role involves leading the development of modeling platforms that support rapid prototyping, scalable deployment, and evaluation of diverse evidence models. These systems directly impact hundreds of thousands of patients annually through clinical interpretation of genetic testing results. The ideal candidate will have 10+ years of technical experience, strong expertise in distributed systems, and proficiency in Python and cloud computing infrastructure.

Working at Labcorp means joining a team of nearly 70,000 employees serving clients in more than 100 countries, focusing on transforming patient care through innovative solutions. The company leverages clinical genomic expertise, massive genetics and lab data, and cutting-edge AI/ML technologies to improve diagnosis, clinical care, and treatment options.

The position offers both technical leadership and hands-on engineering opportunities, requiring someone who can both architect solutions and mentor team members. The role is remote-friendly with a base in San Francisco, CA, making it an excellent opportunity for experienced ML infrastructure engineers looking to make a significant impact in healthcare technology.

This role is perfect for someone passionate about combining technical excellence with healthcare innovation, offering the chance to work on systems that directly improve patient care while building and leading high-performing technical teams.