Early Talent
At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.
With over half a billion rides and counting, Lyft is solving hard problems in a flourishing domain with a lot of data and creative solutions in Marketplace, Mapping, Fraud, Growth and beyond. We're actively building the next-generation Machine Learning (ML) platform for low-cost, ultra-immersive transportation to improve people’s lives using modern ML with peta-byte scale data. Our Machine Learning Engineers are excited to work on these challenging problems and redefine solutions to directly impact various aspects of Lyft's primary business.
If you are a student with experience in machine learning workflows, passionate about solving challenging problems using data and working in a dynamic, creative, and collaborative environment, this opportunity is for you!
Responsibilities
- Contribute to the design, build, train and test of Machine Learning models
- Write production-level code to convert ML models into working pipelines
- Partner with Product Managers, Data Scientists, and fellow ML Engineers to frame Machine Learning problems within the business context
- Analyze experimental and observational data, communicate findings to support decisions
- Participate in code and spec reviews to ensure code quality and distribute knowledge
Experience
- Currently pursuing a Bachelor's, Master's, or PhD degree in Computer Science or a related technical field from a university in Canada (required) , with a gradu