Intern - Advanced Intelligence and Research

Lilly is seeking a professional to apply computer vision algorithms and machine learning techniques to solve complex challenges in medical imaging and manufacturing, supporting the development and deployment of vision-based inspection systems.

Location: India

Responsibilities

• 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.

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