Software Engineer Intern, Machine Learning (Summer 2027)
Core
Build and deploy machine learning models for Lyft's next-generation ML platform to improve low-cost, ultra-immersive transportation.
Role type
Machine Learning Engineer Intern
Builds
Production ML pipelines and models for Lyft's Marketplace, Mapping, Fraud, and Growth domains
Domain
Transportation / Machine Learning
Deliverable
production ML models
Required skills
Machine learning workflows, Python programming, end-to-end ML system design, software system design, experimental data analysis, code review
Preferred skills
Converting research papers to code, learning new technologies independently
Technologies
scikit-learn, Tensorflow, PyTorch, Keras, MXNet
Responsibilities
Design, build, train, and test ML models; Write production-level code for ML pipelines; Partner with Product Managers and Data Scientists to frame ML problems; Analyze experimental and observational data; Participate in code and spec reviews
Seniority
Intern
