Senior Software Engineer, Marketplace

About

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.

Lyft is looking for experienced software engineers from a variety of disciplines. We are growing our team with people who want to build, improve and incorporate technologies that make the lives of our community more enriched. As an engineer at Lyft, you'll collaborate with teams like product, data science, analytics, and operations on code that empowers us to iterate quickly, while focusing on delighting our passengers and drivers.

Responsibilities

• Help define the roadmap and architecture based on technology and business needs
• Drive AI innovation for business analytics and operations
• Write well‑crafted, well‑tested, readable, maintainable code
• Have a good grasp and ability to explain the various tradeoffs made in decisions
• Participate in code reviews to ensure code quality and distribute knowledge
• Lead projects from idea to positive execution
• Incorporate considerations for business context and failure modes 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

Experience

• 5+ years of software engineering industry experience with a high level programming language (bonus points for experience with Python or Go)
• AI Experience in Agentic workflows, Model Evaluation, Causal models and Anomaly detection
• When facing a problem that's poorly defined or outside of your expertise, you can quickly learn what you need to dig in, make sense of the problem, and start working towards a solution
• You're a great communicator, and can advocate for your proposals while also empathizing with your teammates' goals and priorities
• You have experience defining API schemas and developing backend services in a microservices environment
• You have a history of going out of your way to help out your fellow engineer to make them more productive

Benefits

• 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 with company match to help save for your future
• Paid time off policy: salaried team members covered under Lyft's flexible paid time off policy; hourly team members get 15 days paid time off, with an additional day for each year of service
• 18 weeks of paid time off for new parents (Biological, adoptive, foster)
• Subsidized commuter benefits and Lyft ride credits

EEO Statement

Lyft is committed to creating an inclusive workforce that fosters belonging. 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. Lyft also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. Accommodation for persons with disabilities will be provided upon request in accordance with applicable law during the application and hiring process. Please contact your recruiter if you wish to make such a request.

Work Schedule

This role will be in‑office on a hybrid schedule. Team members are 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. Hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year.

Compensation

The expected base pay range for this position in the Toronto area is CAD $136,000 - CAD $170,000, not inclusive of potential equity offering, bonus or be

#J-18808-Ljbffr