Senior Lead Machine Learning Infrastructure Engineer
Company: Labcorp
Location: San Diego
Posted on: July 3, 2025
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Job Description:
Labcorp Genetics (formerly Invitae) is dedicated to bringing
comprehensive genetic information into mainstream medicine to
improve healthcare for billions of people! Our team is driven to
make a difference for the patients we serve. We are leading the
transformation of the genetics industry, by making clinical-grade
genetic information affordable and accessible to guide health
decisions across all stages of life. The genomics insights team
leverages clinical genomic expertise, our massive genetics and lab
data, and the latest AI/ML technologies to improve diagnosis,
clinical care, and treatment options. We design and develop robust,
quantitative, and scalable systems for variant interpretation and
disease insights. We have an opening on our team for a Senior Lead
Machine Learning Infrastructure Engineer. The primary
responsibility of this role will be to lead the development of our
modeling platforms, which support the rapid prototyping, scalable
deployment, and evaluation of diverse evidence models. These models
in turn provide key support for patient care, such as clinical
interpretation of genetic testing results, directly impacting
hundreds of thousands of patients every year. RESPONSIBILITIES
Define the technical vision and long-term roadmap for ML
infrastructure within the team, aligning with other engineering
teams across the organization. Modernize and expand upon our
end-to-end platform that enables scientists of various backgrounds
to rapidly prototype, scale, validate and distribute diverse models
to support patient care. Enhance and improve our computational
infrastructure for machine learning, focusing on performance,
scalability, maintainability, and resource optimization.
Operationalize large-scale ML workloads, ensuring distributed
trainings are robust, efficient, and fault-tolerant. Design and
integrate end-to-end lifecycles for distributed ML systems (from
data ingestion to model integration). Architect robust MLOps
solutions to streamline and automate data sanitation and ingestion.
Drive adoption of new technologies and architectural patterns
guided by evolving R&D, clinical, and regulatory requirements.
Mentor engineers in areas of your expertise, fostering skill growth
and knowledge sharing. Guide engineering culture centered on
collaboration, technical excellence, and innovation. REQUIREMENTS
10 years of technical experience, including hands-on experience
building scalable backend systems for training, evaluation, and
deployment of machine learning models. Proficiency in Python.
Strong expertise in distributed systems, reliability and
scalability, deployment orchestration, data warehousing,
containerization, and cloud platforms. Hands-on experience with
building REST APIs. Proficient in cloud computing infrastructure
and tools (for example Kubernetes, Snowflake, etc.) Ability to
clearly and concisely communicate technical and architectural
problems, while working with partners to iteratively find
solutions. Preferred Qualifications: Advanced degrees in Computer
Science, Engineering, or a related field. Proficient in ML training
and validation frameworks, like: Tensorflow, PyTorch. EDUCATION
Bachelors degree in Engineering, Computer Science, IT or related
field. Application Window will close 7/8/2025 Pay Range:
$140,000-200,000 annual salary All job offers will be based on a
candidate’s skills and prior relevant experience, applicable
degrees/certifications, as well as internal equity and market data.
LBP / Equity Eligible Positions The position is also eligible for
an annual bonus under the Labcorp Bonus Plan. Bonuses are payable
based on corporate and/or business segment performance and are
subject to individual performance modifiers. Compensation may also
include discretionary short- and long-term incentive packages.
Benefits: Employees regularly scheduled to work 20 or more hours
per week are eligible for comprehensive benefits including:
Medical, Dental, Vision, Life, STD/LTD, 401(k), Paid Time Off (PTO)
or Flexible Time Off (FTO), Tuition Reimbursement and Employee
Stock Purchase Plan. Casual, PRN & Part Time employees regularly
scheduled to work less than 20 hours are eligible to participate in
the 401(k) Plan only. For more detailed information, please click
here. Labcorp is proud to be an Equal Opportunity Employer: Labcorp
strives for inclusion and belonging in the workforce and does not
tolerate harassment or discrimination of any kind. We make
employment decisions based on the needs of our business and the
qualifications and merit of the individual. Qualified applicants
will receive consideration for employment without regard to race,
religion, color, national origin, sex (including pregnancy,
childbirth, or related medical conditions), family or parental
status, marital, civil union or domestic partnership status, sexual
orientation, gender identity, gender expression, personal
appearance, age, veteran status, disability, genetic information,
or any other legally protected characteristic. Additionally, all
qualified applicants with arrest or conviction records will be
considered for employment in accordance with applicable law. We
encourage all to apply If you are an individual with a disability
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jobs, or needs an accommodation, please visit our accessibility
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Keywords: Labcorp, Lake Elsinore , Senior Lead Machine Learning Infrastructure Engineer, IT / Software / Systems , San Diego, California