AI ML Intern — Impactful Healthcare AI (Paid)

100 Eli Lilly and Company; Indianapolis (IN); On-site; USD 59,000 - 72,000; Full time

Benefits offered by this job

Free parking

Lilly LIFE fitness access

Mentoring & social events

Job summary

Lilly is seeking a hands‑on applied machine learning engineering intern for 12 weeks during the summer in Indianapolis. You will work with ML engineers and researchers on training, tuning, evaluating models, and building production‑ready pipelines that impact clinical development.

The role emphasizes Python, ML frameworks (PyTorch, scikit‑learn, TensorFlow), SQL and Spark data handling, AWS cloud tools, and MLOps practices.

Qualifications

• Currently enrolled in a Bachelor’s degree in Computer Science, Computer Engineering, Data Science, Statistics, Mathematics, Applied Mathematics, Electrical Engineering, or related field
• Will have completed Junior year by June 2027
• Authorized to work in the United States on a full‑time basis

Responsibilities

• Work on a scoped ML project with real business impact
• Collaborate with ML engineers and research scientists
• Build production‑quality code and data pipelines
• Present project highlights to senior leaders

Skills

Python

PyTorch

scikit-learn

TensorFlow

SQL

Spark/Databricks

AWS

MLOps

Git

Docker

Education

Bachelor’s degree in Computer Science or related field

Tools

Databricks

MLflow

Weights & Biases

Job description

Lilly is seeking a hands‑on applied machine learning engineering intern for 12 weeks during the summer in Indianapolis. You will work with ML engineers and researchers on training, tuning, evaluating models, and building production‑ready pipelines that impact clinical development.

The role emphasizes Python, ML frameworks (PyTorch, scikit‑learn, TensorFlow), SQL and Spark data handling, AWS cloud tools, and MLOps practices.