Engineer - MLOps & Scientific Platforms - Data Foundry
Eli Lilly and Company1 day ago
San Francisco, CA, USAMid Level
Base Salary
$66k - $165k/yr
Responsibilities
- Build and maintain end-to-end ML deployment pipelines covering experiment tracking, model versioning, containerized serving, and automated retraining.
- Develop model registries, feature-engineering pipelines, monitoring, alerting, dashboards, structured logging, and tracing for data pipelines, APIs, models, and agentic systems.
- Deploy and operationalize analytical and predictive scientific methods with versioning, structured error handling, response-time guarantees, and synchronous or asynchronous serving.
- Define API contracts, documentation standards, and testing frameworks for reliable scientific tools and expose them through REST and MCP-compatible interfaces.
- Build and operate cloud-native model-serving infrastructure using containers, Kubernetes, and infrastructure-as-code.
- Develop CI/CD workflows with automated validation, A/B testing, canary deployments, and rollback procedures.
- Collaborate with scientific, software engineering, Tech@Lilly, and Frontier AI teams on API performance, model confidence metrics, and agent-facing interfaces.
Requirements
- B.S. or M.S. in Computer Science, Data Science, Machine Learning, Bioinformatics, Computational Biology, or a related field.
- At least 3 years of experience in MLOps, ML engineering, or scientific platform development.
- Strong Python skills and experience with ML frameworks such as PyTorch, TensorFlow, and scikit-learn.
- Experience building and deploying production model-serving infrastructure, containerized endpoints, RESTful or gRPC APIs, and operational monitoring.
- Working knowledge of AWS, Azure, or GCP, Kubernetes, and CI/CD automation.
- Experience with model monitoring, drift detection, automated retraining, feature stores, data versioning, or large-scale experiment tracking.
- Preferred pharmaceutical or biotech research experience and experience operationalizing cheminformatics, bioinformatics, structural biology, QSAR, molecular simulations, PK/PD, systems biology, or ODE-based models.
- Preferred familiarity with API gateway patterns, event-driven architectures, service mesh technologies, MCP, LangChain, or programmatic AI-system interfaces.
- Preferred experience with C, C++, CUDA, GPU-accelerated computing, or containerized HPC workloads using Singularity or Apptainer.
- Strong communication and cross-functional collaboration skills.
Benefits
- Full-time role with eligibility for a company bonus based partly on company and individual performance.
- Eligible employees may participate in a company-sponsored 401(k), pension, vacation, medical, dental, vision, prescription drug, flexible spending, life insurance, leave, and well-being benefits.
- Employee resource groups, fitness benefits, employee assistance, clubs, and activities are available.
- The role is listed in San Francisco, California; Louisville, Colorado; and Indianapolis, Indiana.
Tech Stack
Categories
About Eli Lilly and Company
Eli Lilly and Company researches, develops, manufactures, and markets prescription medicines and biologics for patients, sold through healthcare providers, pharmacies, and payers. Core therapeutic areas include diabetes, oncology, immunology, neuroscience, and obesity. Founded in 1876 and headquartered in Indianapolis, it is a public company (NYSE: LLY) with global operations and is building a new advanced manufacturing site for gene therapy and other modalities in Lebanon, Indiana.