Note: The job is a remote job and is open to candidates in USA. Regeneron Pharmaceuticals, Inc is a science-driven organization focused on developing life-changing medicines. They are seeking an Associate Manager, Production AI/ML Engineering to join their Advanced Informatics team, where the role involves architecting and scaling the computational ecosystem for AI/ML applications and collaborating with various teams to transform clinical and claims data into reliable model inferences.
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
Skills
- Bachelor's degree in Computer Science, Software Engineering, Data Science, Biomedical Informatics, or related (Master's preferred) with 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)
- 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
- Equity awards
- Pension or retirement benefits
- 401(k) company match
- Health and wellness programs
- Fitness centers
- Insurance benefits (e.g. medical, dental, vision, life and disability)
- Paid time off
- Family support benefits
Company Overview
Company H1B Sponsorship