Actively Hiring
LY
Software Engineer, AI Entries
Lyft
Toronto
Skills:
Data Science
Job Description
Job Title: Software Engineer, AI Entries
Company: Lyft
Job Category: Data Science
Roles & Responsibilities:
Responsibilities:
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* Establish engineering best practices and patterns; help uplift the team's craft and drive a culture of engineering excellence
* Drive high\-impact projects and innovate new solutions to deliver the best user experience
* Produce and drive scalable system design for large, complex features — from idea through execution and launch
* Mentor engineers on the team, providing technical guidance and supporting their growth
* Write well\-crafted, well\-tested, readable, maintainable code
* Participate in code reviews to ensure code quality and share knowledge across the team
* Participate in the team's on\-call rotation; identify, triage, debug, and resolve issues across our applications and platforms
* Have the ability to explain the various trade offs made in decisions
* Manage project priorities, deadlines, and deliverables.
* 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
* 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 and Lyft ride credits
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. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. \#Hybrid
Work Location: Toronto, ON, Canada
Availability: Full time
Requirements
Experience:
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* BS/MS or equivalent in Computer Engineering, Computer Science, or related field or equivalent practical experience.
* 3\+ years of software engineering/production infrastructure industry experience.
* Experience with Python and Go.
* Experience with cloud platforms (AWS, GCP, or Azure), distributed systems, and databases such as PostgreSQL or DynamoDB
* Proficient and effective in using AI tools (e.g. Copilot, Claude Code, Cursor) to accelerate coding and engineering workflows
* Proficiency in object\-oriented programming.
* Experience working with data structures or algorithms.
* Ability to work with a low\-ego, highly collaborative, and cross\-functional team.
* Bonus points: Experience with LLM orchestration (LangChain, etc.), Vector Databases, or building APIs for conversational agents.
Benefits:
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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. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.
Key Skills: Data Science
Salary: CAD 108000 - 135000 per yearly