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Toronto, Ontario, Canada
From C$46/hr
● Strong current hiring demand for this role
PythonMachine LearningArtificial Intelligence
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Pay vs market · Bottom quarter
This job's pay (CA$95,680 a year at the midpoint) is lower than over 90% of 69 salary-listed Software Engineer jobs in Toronto in the last 12 months; their median is CA$139,378.
Role overview
Job description
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 env
…About this listing
- Listed from a Greenhouse careers board
- First seen by Jobiba 12 Sept 2026
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Role market pulse
How Software Engineer demand looks in Canada
Live jobs
298
Posted 30d
138
30d movement
+51.6%
Remote share
32.9%
Salary listed
77.9%
Salary trend 1Y
Not enough history
What they are looking for
Skills & requirements
Qualification
For any candidates who are master's students who worked between their bachelor's and master's programs: candidates should also have less than 2 years of relevant full-time work experience Available during Summer 2027 for the internship in Toronto Good understanding and knowledge of ML libraries like scikit-learn, Tensorflow, PyTorch, Keras, MXNet, etc
Department · Early Talent
Hiring company
Lyft
Technology
Wherever you’re headed, count on Lyft for rides in minutes. The Lyft app matches you with local drivers at the tap of a button. Just request and go. Ride by ride, we’re changing the way our world works. We imagine a world where cities feel small again. Where transportation and tech bring people together, instead of apart. We see the future as community-driven — and it starts with you.
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