At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We’re looking for people who are determined to make life better for people around the world.
Requirements
- Apply traditional and advanced computer vision algorithms to solve complex challenges through data exploration, model prototyping, and evaluation.
- Handle imbalanced, noisy, and high-dimensional datasets, ensuring robust experimental results and well-documented data preprocessing pipelines.
- Partner with cross-functional teams to understand requirements and translate them into CV experiments in medical imaging and/or manufacturing vision-based inspection.
- Support configuration and integration of imaging systems (cameras/sensors) in collaboration with engineers, as applicable to the project.
- Build and optimize models for scenarios such as real-time inference and batch processing, including benchmarking latency/throughput and accuracy trade-offs.
- Contribute to the model lifecycle by packaging experiments, writing clean inference scripts/APIs, and supporting deployment handoff (as needed) under guidance from the team.
- Leverage machine learning, optimization, and deep learning techniques to improve detection/segmentation performance and reduce manual review effort for selected use cases.
- Use version control (e.g., Git) and Docker to ensure reproducible experiments; exposure to CI/CD workflows is a plus.
- Leverage image annotation tools and image registration methods (especially for medical imaging workflows) for domain-specific challenges.
- Collaborate with the team and communicate results through clear experiment reports, demos, and documentation.
Benefits
- Generous Paid Time Off
- 401k Matching
- Retirement Plan
- Visa Sponsorship
- Four Day Work Week
- Generous Parental Leave
- Tuition Reimbursement
- Relocation Assistance
Originally posted on Himalayas
