At Lyft, our purpose is to serve and connect. Marketplace teams sit at the core of Lyft's products and decision-making, owning everything from rider pricing to driver earnings, incentives, and matching efficiency. We're looking for passionate, driven engineers who want to build systems that give riders and drivers the best possible transportation experience through prediction, adaptivity, and personalization — and who thrive in a rapid-paced, high-impact environment solving distributed computing, ML, and data challenges.

The Planned

Pricing team sits within Lyft's Marketplace org and is responsible for forecasting, planning, and setting prices ahead of demand — ensuring pricing strategy is proactive rather than purely reactive. As an owner of a flow that shapes forecasting and long-term pricing decisions across the company, you'll tackle a wide range of problems — from large-scale distributed systems and data pipelines to experimentation and forecasting accuracy. If you're excited about playing a key role in demand/supply planning and improving the Lyft experience for millions of riders and drivers, this could be a great fit.

Collaborate with engineers and partners in science & product to drive projects from inception, specification, execution, to launch Write well-crafted, well-tested, readable and maintainable code Participate in code reviews to ensure code quality and distribute knowledge Design and own the way pricing data is consumed, stored, and shared with the entirety of Lyft Utilize your expertise in Python, Golang, AWS to deliver robust and scalable solutions 1 - 3 years of software engineering industry experience ~ BS/MS or equivalent in Computer Engineering, Computer Science, or related field or relevant work experience ~ Extensive experience in object-oriented programming (ideally Python or Go)



~ Experience in backend software development of large-scale distributed systems and concurrency ~ Extended health and dental coverage options, along with life insurance and disability benefits Family building advantages Child care and pet advantages Access to a Lyft funded Health Care Savings Account RRSP plan with company match to help save for your future In addition to provincial observed holidays, salaried team members are covered under Lyft's flexible paid time off policy. The policy allows team members to take off as much time as they need (with manager approval). Hourly team members get 15 days paid time off, with an additional day for each year of service Lyft believes that every person has a right to equal employment opportunities without discrimination because of race, ancestry, place of origin, colour, ethnic origin, citizenship, creed, sex, sexual orientation, gender identity, gender expression, age, marital status, family status, disability, pardoned record of offences, or any other basis protected by applicable law or by Company policy.

Accommodation for persons with disabilities will be provided upon request in accordance with applicable law during the application and hiring process. Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office at least 3 days per week, including on Mondays, Wednesdays, and Thursdays.

Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. The expected base pay range for this position in the Toronto area is CAD $108,000 - CAD $135,000, not inclusive of potential equity offering, bonus or benefits.

Lyft may use artificial intelligence to screen applicants, however, Lyft employees make the ultimate selection and hiring decisions.

📌 Software Development Engineer - Machine Learning (Toronto)
🏢 Speedrun Talent Network
📍 Toronto