ML Software Engineer, ETA
Core
Building and maintaining Lyft's system for estimating/predicting ETAs for every ride request to support matching, pricing, and user experience.
Role type
Machine Learning Engineer
Builds
ETA prediction system for rideshare platform
Domain
Rideshare / Transportation
Deliverable
production ML models
Required skills
machine learning workflows, statistical modeling, optimization, production code development, data analysis, tradeoff analysis
Preferred skills
big data processing, distributed data pipelines
Technologies
AWS, Kubernetes, Go, Spark, Python, Apache Airflow
Responsibilities
Perform data analysis and build proof-of-concept to explore ML and non-ML solutions; Develop statistical, machine learning, or optimization models; Write production quality code that scales to millions of requests; Make tradeoffs between model accuracy, productization complexity, and runtime performance; Participate in code reviews, design reviews, and incident triaging.
Seniority
Mid-level, hands-on IC
