Senior Lead Machine Learning Infrastructure Engineer

Laboratory Corporation; San Francisco (CA); On-site; USD 140,000 - 200,000; Full time

Job summary

A leading company in the genetics industry is seeking a Senior Lead Machine Learning Infrastructure Engineer to drive the development of modeling platforms that enhance patient care. This role involves modernizing ML infrastructure, mentoring engineers, and ensuring robust and scalable systems to support clinical interpretations of genetic testing results.

Benefits

Comprehensive benefits including Medical, Dental, Vision

401(k) plan

Paid Time Off (PTO) or Flexible Time Off (FTO)

Tuition Reimbursement

Employee Stock Purchase Plan

Qualifications

• 10+ years of technical experience in scalable backend systems.
• Strong expertise in reliability and scalability.
• Ability to communicate technical problems clearly.

Responsibilities

• Lead the development of modeling platforms for patient care.
• Modernize and expand the ML infrastructure.
• Mentor engineers and foster a collaborative culture.

Skills

Python

Distributed systems

Cloud computing

Building REST APIs

Education

Bachelor's degree in Engineering, Computer Science, IT or related field

Advanced degrees in Computer Science, Engineering, or a related field

Tools

Tensorflow

PyTorch

Kubernetes

Snowflake

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

• Bachelor's 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 bebased on a candidate’s skills and prior relevant experience, applicabledegrees/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, pleaseclick 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

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