Regeneron · 2 weeks ago
Associate Manager, Production AI/ML Engineering, Advanced Informatics
Regeneron is a science-driven organization focused on developing life-changing medicines. They are seeking an Associate Manager, Production AI/ML Engineering to architect and scale the computational ecosystem for AI/ML applications, collaborating with various teams to transform clinical data into reliable model inference.
PharmaceuticalBiotechnologyBiopharma
Responsibilities
Architect and maintain a scalable AWS/Kubernetes ecosystem supporting model training, batch inference, and real-time serving
Design and maintain production-grade ML pipelines over population-scale clinical and claims data, including ingestion, normalization, and transformation across controlled terminologies (SNOMED CT, ICD-10/11, LOINC, RxNorm, OMOP CDM)
Develop RESTful APIs that reliably expose model inference to downstream teams and applications
Operationalize models from the Applied AI team — owning deployment, versioning, rollback, and A/B testing
Build MLOps infrastructure (CI/CD, feature stores, model registries) and champion engineering best practices
Own monitoring, alerting, and incident response for production ML systems
Partner with data governance and compliance to ensure pipelines and deployments adhere to data use agreements and de-identification standards
Shape capacity planning and the long-term technical roadmap for the team's AI/ML platform
Qualification
Required
Bachelor's degree in Computer Science, Software Engineering, Data Science, Biomedical Informatics, or related
7–9 years of progressive ML/platform/software engineering experience with an infrastructure focus
Proven experience designing and operating ML infrastructure at enterprise scale on AWS (SageMaker, ECS, EC2, S3, Lambda, or equivalent)
Strong Kubernetes expertise: cluster management, workload scheduling, autoscaling, and deploying containerized ML services in production
Proficiency building and maintaining RESTful APIs; experience with API design, versioning, performance tuning, and integration with ML serving frameworks
Hands-on experience with Postgres: schema design, query optimization, and integration into data and ML pipelines
Expert-level Python and SQL; strong software engineering fundamentals including Git, modular design, testing, and CI/CD
Proficiency with MLOps tooling: experiment tracking (MLflow, W&B), model registries, containerization (Docker), and pipeline orchestration (Airflow, Prefect, or similar)
Preferred
Master's degree in Computer Science, Software Engineering, Data Science, Biomedical Informatics, or related
Informatics knowledge with health or life sciences data — EHR/EMR records, claims data, clinical notes, or administrative data
Benefits
Annual bonuses or other incentive plans (may include, depending on country and role)
Equity awards (may include, depending on country and role)
Pension or retirement benefits (may include, depending on country and role)
401(k) company match (may include, depending on country and role)
Health and wellness programs (may include, depending on country and role)
Fitness centers (may include, depending on country and role)
Insurance benefits (e.g. medical, dental, vision, life and disability) (may include, depending on country and role)
Paid time off (may include, depending on country and role)
Family support benefits (may include, depending on country and role)
Where required, we will provide reasonable accommodation to applicants with known disabilities or chronic illnesses during the recruitment process, unless such accommodation would impose undue hardship.
Company
Regeneron
Regeneron Pharmaceuticals specializes in the discovery, development, and commercialization of innovative medicines.
Funding
Current Stage
Public CompanyTotal Funding
$15.93MKey Investors
U.S. Department of Health & Human Services
2024-07-11Post Ipo Equity· $2.03M
2023-10-18Post Ipo Equity· $5M
2016-08-22Post Ipo Equity· $8.9M
Leadership Team
Recent News
The Motley Fool
2026-08-15
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