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Senior Lead Machine Learning Infrastructure Engineer

A leading global life sciences company providing vital information and diagnostics services to doctors, hospitals, pharmaceutical companies, researchers, and patients across 100+ countries.
$140,000 - $200,000
Machine Learning
Staff Software Engineer
Remote
5,000+ Employees
10+ years of experience
Healthcare · AI
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Description For Senior Lead Machine Learning Infrastructure Engineer

Labcorp Genetics (formerly Invitae) is seeking a Senior Lead Machine Learning Infrastructure Engineer to spearhead their ML platforms development. This role is crucial in supporting the company's mission of bringing comprehensive genetic information into mainstream medicine. The position involves leading the development of modeling platforms that directly impact hundreds of thousands of patients annually through clinical interpretation of genetic testing results.

The role combines technical leadership with hands-on engineering, requiring expertise in ML infrastructure, distributed systems, and cloud computing. You'll be responsible for building and scaling the platforms that enable scientists to prototype, validate, and distribute diverse models for patient care. The position offers a competitive salary range of $140,000-$200,000 annually, plus comprehensive benefits including medical insurance, 401(k), and equity opportunities.

As a senior technical leader, you'll shape the technical vision for ML infrastructure while mentoring other engineers and fostering a culture of innovation. The ideal candidate brings 10+ years of experience in building scalable backend systems for ML, with strong expertise in Python, distributed systems, and cloud platforms. This role offers the opportunity to make a significant impact in healthcare through technology, working with a team dedicated to transforming the genetics industry and improving patient care through advanced ML solutions.

Working at Labcorp means joining a global team of nearly 70,000 employees serving clients in over 100 countries, with the chance to directly influence healthcare outcomes through cutting-edge technology and innovation. The position offers flexibility with remote work options while being part of a mission-driven organization that's leading the transformation of the genetics industry.

Last updated a month ago

Responsibilities For Senior Lead Machine Learning Infrastructure Engineer

  • Define technical vision and long-term roadmap for ML infrastructure
  • Modernize and expand end-to-end platform for model prototyping and deployment
  • Enhance computational infrastructure for machine learning
  • Operationalize large-scale ML workloads
  • Design end-to-end lifecycles for distributed ML systems
  • Architect robust MLOps solutions
  • Drive adoption of new technologies
  • Mentor engineers
  • Guide engineering culture

Requirements For Senior Lead Machine Learning Infrastructure Engineer

Python
Kubernetes
  • 10+ years of technical experience in building scalable backend systems for ML
  • Proficiency in Python
  • Strong expertise in distributed systems, reliability and scalability
  • Hands-on experience with building REST APIs
  • Proficient in cloud computing infrastructure and tools
  • Bachelor's degree in Engineering, Computer Science, IT or related field
  • Strong communication skills

Benefits For Senior Lead Machine Learning Infrastructure Engineer

Medical Insurance
Dental Insurance
Vision Insurance
401k
Education Budget
  • Medical Insurance
  • Dental Insurance
  • Vision Insurance
  • Life Insurance
  • STD/LTD Insurance
  • 401(k)
  • Paid Time Off (PTO)
  • Flexible Time Off (FTO)
  • Tuition Reimbursement
  • Employee Stock Purchase Plan
  • Annual Bonus Plan