---
title: 'Machine Learning Engineer, Lyft Business & Ads at Lyft'
canonical: 'https://feeny.ai/job/machine-learning-engineer-lyft-business-ads-lyft-toronto-3ynjczmgs9ad'
type: 'job'
last_seen: '2026-10-13'
---

# Machine Learning Engineer, Lyft Business & Ads at Lyft

- **Company:** Lyft
- **Location:** Toronto, Canada
- **Posted:** 2026-07-06
- **Last confirmed live:** 2026-10-13
- **Apply:** https://app.careerpuck.com/job-board/lyft/job/8620859002?gh_jid=8620859002

## Job description

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.

Machine Learning is at the heart of Lyft’s products and decision-making. Machine Learning Engineers at Lyft operate in dynamic environments, moving quickly to build the world’s best transportation solutions. We tackle a wide range of challenges, from pricing and marketplace frameworks that ensure reliability and competitiveness, to agentic AI platforms that automate analytical workflows, to behavioral detection systems that protect the integrity of our network. We operate at the intersection of applied ML and real business impact, shipping models that directly influence revenue, rider experience, and partner trust.

Lyft Business builds products that help organizations move the people who matter most—employees, customers, patients, and guests—easily and efficiently. Our offerings include Business Travel, Lyft Pass, and Concierge (for healthcare and non-healthcare rides), enabling companies to manage transportation at scale through APIs, integrations (e.g., Concur, Expensify), and dedicated tools. These platforms power high-impact B2B use cases across corporate travel, healthcare access, customer experience, and community programs.

We're looking for a Machine Learning Engineer to design, build, and deploy ML systems across Lyft Business. This is a high-scope role: you won't be siloed into one problem area. Instead, you'll move across pricing algorithms, fraud and behavior detection, agentic AI systems, and emerging ML applications as the business evolves. You'll write production-quality code, own models end-to-end from prototyping through deployment, and collaborate closely with Data Scientists, Product Managers, and Software Engineers to translate complex business problems into scalable ML solutions.

This role is ideal for someone who is technically versatile, energized by variety, and wants to see their work directly shape a large-scale business.

Responsibilities:

- Develop and deploy ML models across multiple problem domains — including dynamic pricing, marketplace optimization, fraud detection, and anomaly/behavior detection — in production environments serving millions of rides
- Build and iterate on agentic AI systems (e.g., LLM-powered analytical agents) that automate decision-making and reduce operational overhead
- Design and implement feature pipelines, model training workflows, and serving infrastructure using Lyft's ML platform
- Partner with Data Scientists on the Algorithms and Decisions teams to take research prototypes from proof-of-concept to production at scale
- Evaluate ML system performance against business KPIs, run experiments, and drive continuous model improvement
- Identify new opportunities where ML can create leverage across Lyft Business verticals (Healthcare, Lyft Pass, Business Travel) and pitch solutions
- Contribute to team engineering standards — code quality, observability, documentation, and testing practices

Experience:

- Experience with GenAI / LLM ecosystems — prompt engineering, RAG, agent frameworks (e.g., LangChain, LangGraph), or fine-tuning
- Exposure to graph-based ML methods (graph neural networks, knowledge graphs, network analysis)
- Experience with pricing, marketplace, or fraud-related ML problems
- Familiarity with cloud ML services (AWS SageMaker, Bedrock) or internal ML platforms
- Track record of identifying and scoping ML projects independently, not just executing on pre-defined specs

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
- 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 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.

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

The expected base pay range for this position in the Toronto area is CAD $118,800 - CAD $148,500, 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.

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

This job fills an existing vacancy.

## About Lyft

## Company Overview
- **One-liner**: Lyft operates a ride-hailing, bikeshare, and scooter platform that connects drivers and riders, aiming to reduce personal car ownership and make cities more livable.
- **Entity Type**: Public (NASDAQ: LYFT)
- **Headquarters**: San Francisco, California, USA
- **Founded**: 2012
- **Founders**: Logan Green and John Zimmer

## Core Business
- **Primary industry/industries**: Mobility, Transportation, Ride-hailing, Micromobility
- **Target customers**: B2C (riders and drivers), B2B (Lyft Business for enterprise commutes), and public sector (transit partnerships)
- **Mission or purpose statement**: "To serve and connect" — building a more connected world, ride by ride.

## Products & Services
- **[Lyft Rideshare]**: The core on-demand ride-hailing service connecting passengers with drivers. Type: Platform / Service.
- **[Lyft Pink]**: A subscription membership offering perks like discounted rides, priority airport pickups, and free bike/scooter unlocks. Type: Subscription.
- **[Lyft Business]**: A suite of tools for companies to manage employee commutes, client rides, and delivery logistics. Type: B2B SaaS / Service.
- **[Lyft Bikes & Scooters]**: Shared electric bikes and scooters available in select cities, including the Bixi network in Montreal. Type: Micromobility Service.
- **[Lyft Flexdrive]**: A car rental program for drivers who don't own a vehicle, enabling them to earn on the platform. Type: Service / Fleet Management.
- **[Lyft Ads]**: In-app advertising platform allowing brands to reach riders and drivers. Type: Ad Tech / Marketplace.

## Market Standing
- **Valuation/Market Cap**: Approximately $4.5 billion (as of mid-2025, market cap fluctuates). **Not publicly available** for private valuation — public company.
- **Key Metric**: Annual Revenue of approximately $4.4 billion (FY 2023), with $1.3 billion in Q1 2025 reported revenue.
- **Notable Investors/Partners**: Major institutional investors include Fidelity, Vanguard, and BlackRock. Key partners include Uber (in some markets, e.g., transit data sharing), Motivate (bikeshare operator), and various municipal transit agencies.
- **Growth Signals**: Launched Lyft Ads in 2024; expanded into autonomous vehicle partnerships (Waymo, Motional); opened new offices in Toronto (2024) and Mexico City (2022); strong recovery in ride volumes post-pandemic.

## Competitive Advantages
- **Differentiated brand and culture**: Known for a friendlier, more community-oriented brand compared to competitors, with a focus on driver and rider safety.
- **Integrated multimodal platform**: Combines ride-hailing, bikes, scooters, and public transit info in one app, making it a one-stop mobility solution.
- **Strong transit partnerships**: Deep integrations with city transit agencies (e.g., Montreal's Bixi, LA Metro) provide a unique public-sector moat.
- **Data & network effects**: Large dataset on urban mobility patterns enables better routing, pricing, and demand prediction.

## Strategic Focus
- **Autonomous vehicle (AV) readiness**: Building partnerships and infrastructure to integrate AVs into the platform, positioning for a future without human drivers.
- **Advertising revenue**: Scaling Lyft Ads to create a new high-margin revenue stream, leveraging its large user base.
- **International expansion**: Selectively entering new markets (e.g., Canada, Mexico) and deepening presence in existing ones via bikeshare and transit.
- **Profitability**: Continued focus on operational efficiency and cost discipline to achieve sustained GAAP profitability.

## Why Work Here
- **Culture**: Lyft emphasizes a welcoming, inclusive culture with core values like "Be yourself," "Make it happen," and "Uplift others." The company fosters a strong sense of belonging through Employee Resource Groups (ERGs) and community events.
- **Remote/Hybrid/Office Policy**: Hybrid model — employees are expected in the office a few days a week, with flexibility. Offices are designed with tech-equipped workspaces, stocked kitchens, and themed rooms.
- **Notable Perks**:
    - **Health & Well-being**: Comprehensive medical, dental, vision; free One Medical membership; free access to therapists via Modern Health.
    - **Time Off**: Unlimited paid vacation for salaried US employees; generous PTO for hourly employees.
    - **Parental Leave**: 18 weeks of paid leave for all new parents (biological, adoptive, foster).
    - **Financial**: 401(k) plan with financial training sessions.
    - **Commute**: Free Lyft Pink membership; pre-tax commuter benefits.
    - **Learning**: Udemy subscription for professional development; mentorship programs for interns and new grads.
    - **Office Environment**: Dog-friendly offices; regular team offsites and social events.
- **Engineering Culture**: Known for high-impact work on large-scale distributed systems, machine learning, and mobile engineering. Early-career talent is highly valued, with structured mentorship and real project ownership.

## Sources
1. [Lyft Careers](https://www.lyft.com/careers)
2. [Lyft Life at Lyft](https://www.lyft.com/careers/life-at-lyft)
3. [Lyft Early Talent Programs](https://www.lyft.com/careers/early-talent)
4. [Lyft Homepage](https://www.lyft.com/)
5. [LinkedIn Lyft](https://www.linkedin.com/company/lyft)

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