---
title: 'Software Engineer Intern, Machine Learning (Summer 2027) at Lyft'
canonical: 'https://feeny.ai/job/software-engineer-intern-machine-learning-summer-2027-lyft-toronto-3g4ekxfjhrwf'
type: 'job'
last_seen: '2026-09-15'
---

# Software Engineer Intern, Machine Learning (Summer 2027) at Lyft

- **Company:** Lyft
- **Location:** Toronto, Canada
- **Posted:** 2026-09-11
- **Last confirmed live:** 2026-09-15
- **Apply:** https://app.careerpuck.com/job-board/lyft/job/8802332002?gh_jid=8802332002

## 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.

With over half a billion rides and counting, Lyft is solving hard problems in a flourishing domain with a lot of data and creative solutions in Marketplace, Mapping, Fraud, Growth and beyond. We're actively building the next-generation Machine Learning (ML) platform for low-cost, ultra-immersive transportation to improve people’s lives using modern ML with peta-byte scale data. Our Machine Learning Engineers are excited to work on these challenging problems and redefine solutions to directly impact various aspects of Lyft's primary business.

If you are a student with experience in machine learning workflows, passionate about solving challenging problems using data and working in a dynamic, creative, and collaborative environment, this opportunity is for you!

Responsibilities:

- Contribute to the design, build, train and test of Machine Learning models
- Write production-level code to convert ML models into working pipelines
- Partner with Product Managers, Data Scientists, and fellow ML Engineers to frame Machine Learning problems within the business context
- Analyze experimental and observational data, communicate findings to support decisions
- Participate in code and spec reviews to ensure code quality and distribute knowledge

Experience:

- Currently pursuing a Bachelor's, Master's, or PhD degree in Computer Science or a related technical field from a university in Canada (required), with a graduation date between December 2027 and Summer 2028 (required). For any candidates who are master's students who worked between their bachelor's and master's programs: candidates should also have less than 2 years of relevant full-time work experience
- Available during Summer 2027 for the internship in Toronto
- Good understanding and knowledge of ML libraries like scikit-learn, Tensorflow, PyTorch, Keras, MXNet, etc.
- Strong programming skills in Python or a similar object oriented language
- Proven ability to effectively turn research ML papers into working code
- Practical knowledge of how to build efficient end-to-end ML workflows
- “Engineer at heart” with a high degree of comfort in designing software systems and producing high-quality code
- Curiosity and ability to quickly learn new concepts and technologies
- Strong problem solving mindset, resourcefulness, and willingness to figure things out independently through research or collaboratively through brainstorming
- Demonstrated oral and written interpersonal skills

Benefits:

- Mental health benefits
- In addition to holidays, interns receive 2 days paid time off and 3 days sick time off
- 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. #Hybrid

The expected base pay range for this position in the Toronto area is CAD $46 - CAD $53 per hour. 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 is a new position.

## 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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