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Senior Machine Learning Engineer, Rider Applied AI at Lyft - ApplyBlast

Senior Machine Learning Engineer, Rider Applied AI

Lyft

4 months ago

4.1 on Glassdoor

Toronto, Canada

Hybrid

Full Time

Senior

0 applicants

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About this role

A Senior Machine Learning Engineer at Lyft leads the design, development, and deployment of AI and ML systems for the Rider Applied AI team. This role involves building scalable pipelines, training models for real-time applications, and collaborating with cross-functional teams to solve complex business problems using state-of-the-art technologies. The ideal candidate will balance high-level system architecture with hands-on implementation to drive the future of ride-sharing through data and machine learning.

Responsibilities

Design, build, train, and deploy machine learning models for real-time applications
Architect scalable and maintainable machine learning pipelines integrating with backend systems
Lead cross-functional collaboration to align ML initiatives with business goals
Explore new algorithms and frameworks to solve complex problems and introduce use cases
Provide technical leadership, mentor engineers, and foster a culture of learning

Skills

Qualifications

B.S. in Computer ScienceM.S. in Computer SciencePh.D. in Computer Science

About Lyft

lyft.com

Headquarters

San Francisco, California, United States

Company Size

5001-10000 employees

Founded

2012

View Profile

Lyft is a mobility platform that connects riders with drivers through a mobile app for on-demand rides and also offers scooters, e-bikes, and bikeshare services. Riders can request trips, view fare details and local pricing, while drivers earn on flexible, independent terms. The company emphasizes convenience, safety guidance, and app-based features like promotions, booking, and micromobility access. Lyft operates across many U.S. and Canadian cities to provide affordable, short-trip transportation options.