Uber is seeking ML Infrastructure Interns to build systems powering machine learning at scale. Work on infrastructure serving billions of predictions daily across rides delivery and freight.

Responsibilities:

• Build ML training and inference infrastructure

• Develop tools for model deployment and monitoring

• Optimize ML pipelines for performance and cost

• Work on feature stores and data platforms

• Collaborate with ML engineers and data scientists

Requirements:

• Currently pursuing Bachelor's Master's or PhD in Computer Science or related field

• Strong programming skills in Python Go or Java

• Experience with ML frameworks TensorFlow PyTorch or MLflow

• Understanding of distributed systems and cloud infrastructure

• Knowledge of Kubernetes Docker and container orchestration

Perks:

• Competitive hourly compensation of $52-65 per hour

• Work on ML systems serving billions of predictions

• Impact riders drivers and eaters worldwide

• Mentorship from ML infrastructure experts

• Strong conversion to full-time ML platform roles