Labcorp Genetics is looking for a Senior Machine Learning Engineer to strengthen its Applied AI team. This is a full-time remote opportunity that blends cutting-edge machine learning innovation with the mission of transforming healthcare. If you want to work on meaningful projects that improve patient outcomes while shaping the future of AI in medicine, this role offers the platform to do it.
Why This Opportunity Stands Out
Labcorp’s Applied AI team is at the forefront of healthcare technology. The group has already launched real-time API integrations for model inference, built cloud-based machine learning infrastructure, and applied state-of-the-art models to critical healthcare challenges. Joining this team means working on solutions that are not only technically advanced but also have a direct impact on people’s lives.
What You Will Focus On
As a senior engineer, your role will go beyond coding. You will architect and guide end-to-end machine learning systems while mentoring peers and setting best practices. Expect to be involved in:
- Designing and deploying production-ready ML workflows that cover data pipelines, training processes, and real-time inference
- Translating complex clinical and operational questions into clear ML strategies with measurable outcomes
- Building cloud-native, secure, and cost-effective infrastructure for scalable model serving
- Monitoring performance metrics such as accuracy, latency, and reliability while integrating the latest research and user feedback
- Collaborating with product managers, scientists, and engineers across disciplines to deliver impactful AI projects
Skills and Experience That Will Help You Excel
This role calls for deep expertise across both software engineering and machine learning. You will thrive here if you bring:
- More than 10 years of professional experience in software or machine learning engineering, or equivalent expertise, supported by an advanced degree
- Strong command of cloud environments such as AWS, GCP, or Azure
- Proven proficiency in Python, ML frameworks like TensorFlow and PyTorch, and modern deployment workflows
- Experience with containerization, orchestration, and automation tools such as Kubernetes and GitHub Actions
- Familiarity with performance monitoring tools like New Relic and search technologies such as OpenSearch
- Solid background in building data pipelines, training large-scale models, and managing production deployments
- Analytical skills that allow you to create solutions with measurable business and healthcare impact
- Clear and effective communication, both written and verbal
Added Advantages
Applicants with the following expertise will stand out even more:
- Hands-on experience with LLMs, retrieval augmented generation, and vector search pipelines
- Knowledge of MLOps best practices, including model versioning, drift detection, and shadow deployments
- Background in genetics or healthcare data science
Educational Background
An advanced degree in Computer Science, Machine Learning, or a related technical field is strongly preferred.
Compensation and Benefits
- Competitive salary range between $165,000 and $205,000 annually
- Eligibility for the Labcorp Bonus Plan is tied to both company and individual performance
- Comprehensive benefits for employees working 20 or more hours per week, including medical, dental, vision, life insurance, disability coverage, retirement plans, paid time off, tuition reimbursement, and employee stock purchase opportunities
- 401(k) plan participation for part-time staff working less than 20 hours weekly
Inclusive Workplace
Labcorp is committed to building a workplace where inclusion and belonging are core values. The company does not tolerate harassment or discrimination of any kind and considers all qualified applicants regardless of race, religion, color, gender, age, disability, sexual orientation, veteran status, or other protected characteristics. Candidates with arrest or conviction records are also encouraged to apply where permitted by law.
Application Details
- Application window closes September 29, 2025
- Job ID: 2526639
- Location: Remote, with options across multiple regions
- Category: Information Technology
Labcorp welcomes applicants who share the vision of advancing healthcare with the power of technology. If you are ready to make a real impact with your expertise, this is the opportunity to do so.
Apply ASAP by visiting the official Labcorp careers page.