Sr Staff Engineer, AI and Advanced Analytics
Regeneron
Location
Tarrytown, NY
Job Type
Full-time
Posted
March 1, 2026
Views
22
Salary Range
$151k - $246k
USD
Job Description
Regeneron is seeking a Senior Staff Engineer for AI and Advanced Analytics to join our team.
This role will lead the development of AI/ML solutions and advanced analytics platforms that accelerate drug discovery and development. You will work with cutting-edge technologies to solve complex problems in genomics, clinical research, and pharmaceutical sciences.
Responsibilities
- Design and implement production-grade AI/ML systems for drug discovery
- Develop advanced analytics solutions using machine learning and statistical methods
- Build scalable infrastructure for model training, deployment, and monitoring
- Lead MLOps initiatives and establish best practices for ML engineering
- Create tools and platforms for data scientists and researchers
- Collaborate with cross-functional teams to identify AI opportunities
- Mentor engineers and contribute to technical strategy
Requirements
- MS/PhD in Computer Science, Machine Learning, or related field
- 10+ years of software engineering experience with 5+ years in ML/AI
- Expert-level Python and ML frameworks (PyTorch, TensorFlow, scikit-learn)
- Experience building production ML systems at scale
- Strong knowledge of MLOps practices and tools (MLflow, Kubeflow, etc.)
- Experience with cloud ML platforms (AWS SageMaker, GCP Vertex AI, Azure ML)
- Proficiency in distributed computing and containerization (Docker, Kubernetes)
Preferred
- Experience in pharmaceutical or biotech industry
- Knowledge of applications in genomics, drug discovery, or clinical trials
- Experience with LLMs and generative AI
- Publications or patents in AI/ML
Regeneron is a leading biotechnology company that invents life-transforming medicines for people with serious diseases.
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Job Information
Source:
company-career-page
Remote Type:
hybrid
Experience:
lead
Allowed Locations:
Worldwide
Skills & Tags:
ai
machine-learning
python
pytorch
mlops
aws
kubernetes
data-science