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At Lyft, our purpose is to serve and connect. To do this, we start with our own community by creating an open, inclusive, and diverse organization.
The Marketplace teams at Lyft are at the heart of our products and decision-making, responsible for accelerating the growth of the business and for delivering our top business/company goals around financial metrics and marketplace performance. Pricing is an integral part of achieving this goal. Our team is responsible for setting the prices for every single ride at Lyft, across all rides types, in order to balance Lyft’s two-sided marketplace, which sees millions of requests each day.
We are looking for someone who is passionate about solving problems with distributed computing, ML, data alongside building reliable systems, and is excited about working in a fast-paced, innovative, and collegial environment. As a Marketplace engineer, on the Pricing team, you will be developing our core systems for managing real-time supply and demand balance via adaptive pricing. In this role, you will work closely with the Product and Data Science teams on a wide array of challenges. This will range from large scale distributed systems and sub millisecond request serving to real-time forecasting, experimentation, and ML modeling.
Responsibilities:
This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year.
The expected base pay range for this position in the Toronto area is CAD $108,000 - CAD $135,000. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Range is not inclusive of potential equity offering, bonus or benefits. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.
The Marketplace teams at Lyft are at the heart of our products and decision-making, responsible for accelerating the growth of the business and for delivering our top business/company goals around financial metrics and marketplace performance. Pricing is an integral part of achieving this goal. Our team is responsible for setting the prices for every single ride at Lyft, across all rides types, in order to balance Lyft’s two-sided marketplace, which sees millions of requests each day.
We are looking for someone who is passionate about solving problems with distributed computing, ML, data alongside building reliable systems, and is excited about working in a fast-paced, innovative, and collegial environment. As a Marketplace engineer, on the Pricing team, you will be developing our core systems for managing real-time supply and demand balance via adaptive pricing. In this role, you will work closely with the Product and Data Science teams on a wide array of challenges. This will range from large scale distributed systems and sub millisecond request serving to real-time forecasting, experimentation, and ML modeling.
Responsibilities:
- Responsible for the design, develop, deploy, monitor, operate and maintain existing or new elements of our systems and infrastructure
- Write well-crafted, well-tested, readable, maintainable code/scripts and configurations
- Have a good grasp and ability to explain the various trade-offs made in decisions
- Participate in code reviews to ensure code quality and distribute knowledge
- Lead projects from idea to positive execution
- Analyze our internal systems and processes and locate areas for improvement/automation
- Incorporate considerations for business context, failure modes, monitoring, compliance, and security in your work
- Proactively participate in resolving ongoing incidents
- Unblock, support, effectively communicate, and obtain buy-in across teams to achieve results
- Share your knowledge by giving brown bags, tech talks, and evangelizing appropriate tech and engineering best practices
- BS/MS or equivalent in Computer Engineering, Computer Science, or related field or relevant work experience
- 3+ years in backend software development of large-scale distributed systems, and/or experience with data infrastructure
- Experience designing, debugging and running fault-tolerant, highly available, large-scale distributed systems
- Experience working with public cloud platforms (e.g., AWS, GCP, Microsoft Azure, etc.)
- Proficiency in scripting languages to use APIs to automate manual processes
- Experience with common CI tools (Jenkins, Buildkite, CircleCI, TeamCity), and proficiency in at least one of those tools
- Experience working with databases, relational or NoSQL
- Experience developing and shipping ML models is desirable
- Extended health and dental coverage options, along with life insurance and disability benefits
- Mental health benefits
- Family building benefits
- Child care and pet benefits
- Access to a Lyft funded Health Care Savings Account
- RRSP plan 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 is proud to support new parents with 18 weeks of paid time off, designed as a top-up plan to complement provincial programs. Biological, adoptive, and foster parents are all eligible.
- Subsidized commuter benefits
This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year.
The expected base pay range for this position in the Toronto area is CAD $108,000 - CAD $135,000. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Range is not inclusive of potential equity offering, bonus or benefits. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.
Key Skills
Ranked by relevance
distributed computing
circleci
jenkins
cloud
aws
gcp
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- Posted
- Mar 01, 2025
- Type
- Full-time
- Level
- Mid-Senior
- Location
- Toronto
- Company
- Lyft
Industries
Ground Passenger Transportation
Categories
Engineering
Information Technology
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3 roles aligned with this opportunity
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