
About Lyft
The friendly ride-sharing alternative to Uber
Key Highlights
- Headquartered in San Francisco, CA
- Over 100 million rides completed
- $4.9 billion raised in funding
- Acquired PBSC Urban Solutions in 2022
Lyft, headquartered in San Francisco, CA, is a leading ride-sharing company focused on improving transportation experiences in the U.S. and Canada. With over 100 million rides completed and $4.9 billion raised in funding, Lyft aims to provide a more reliable and environmentally friendly alternative ...
🎁 Benefits
Lyft offers a comprehensive benefits package including unlimited paid time off for salaried employees, 15 days PTO for hourly team members, and 18 wee...
🌟 Culture
Lyft fosters a culture focused on reliability and friendliness, positioning itself as a greener alternative to Uber. The company emphasizes local oper...
Skills & Technologies
Overview
Lyft is hiring a Machine Learning Engineer to develop and launch algorithms that power the platform’s core services. You'll work with large datasets to solve complex problems in transportation and personalization. This role requires expertise in machine learning workflows.
Job Description
Who you are
You have a strong background in machine learning workflows and are passionate about solving business problems using data. Your experience includes developing and launching algorithms that impact core services and products. You thrive in a collaborative environment and are eager to tackle diverse challenges across various domains such as transportation, economics, and personalization.
You possess critical thinking skills and are motivated to build reliable machine learning systems. Your ability to work with large datasets and apply modern ML techniques is essential for success in this role. You are excited about the opportunity to contribute to Lyft's mission of improving people's lives through innovative transportation solutions.
What you'll do
As a Machine Learning Engineer at Lyft, you will develop algorithms that power our core services. You will work on challenging problems that require creative solutions and a deep understanding of machine learning principles. Your role will involve collaborating with cross-functional teams to define and implement solutions that directly impact our business.
You will be responsible for building and optimizing machine learning models, ensuring they are reliable and scalable. Your work will contribute to various aspects of our platform, including mapping, fraud detection, and user personalization. You will also engage in data analysis to derive insights that inform product decisions and enhance user experiences.
What we offer
At Lyft, we foster a work environment where all team members belong and have the opportunity to thrive. We encourage you to apply even if your experience doesn't match every requirement. Join us in solving hard problems in a rapidly growing domain with a lot of data and creative solutions.
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