At Lyft, our purpose is to serve and connect. The Govtech team builds rich and creative features that set the standard for the ride sharing industry. We are seeking a highly motivated, mid-career software engineer to contribute to the development of features that facilitate Lyft's entry into new markets, ensure the company's adherence to local regulatory requirements, and utilize the latest AI technologies to enhance the user experience. Ownership is a key quality for this team; this person should be driven to track a project to successful completion and beyond, taking initiative to work with other teams and functions to ensure the code they write reaches users and drives impact.
As a Software Engineer for Govtech, you’ll be responsible for executing integrations with partners, making tradeoffs between technical investments and product work, and collaborating with other engineers on system design. You will help shape the product direction by developing a deep understanding of the customer and working closely with cross-functional partners from Product, Design, Science, and Operations. You will work with a group of talented engineers and help the team to deliver significant business impact. If you enjoy collaborating with technical and nontechnical partners in a fast-moving space with real-world impact, this is the role for you.
Help establish roadmap and architecture based on technology and understanding of customer needs
Write well-crafted, well-tested, readable, maintainable code
Can help lead large projects from idea to positive execution
Participate in code reviews to ensure code quality and distribute knowledge
3+ years of software engineering experience with high-level programming languages; experience with Python and Go is a plus.

- BS/MS in Computer Engineering, Computer Science, or related field, or equivalent work experience.
- Robust background in distributed systems, and proficient in relational or NoSQL databases.
- Experience working with public cloud platforms (e.g., AWS, GCP,



Microsoft Azure, etc.)
- Nice to have: experience with machine learning and building LLM applications
- Nice to have: proficiency in AI tools.

Extended health and dental coverage options, along with life insurance and disability advantages
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
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)
🏢 Lyft
📍 Toronto