Software Engineer Intern, Machine Learning (Summer 2027)
Summary
Lyft is hiring a Summer 2027 Machine Learning intern in Toronto to help design, train, and test ML models and turn them into production pipelines at petabyte scale. The role requires Python, ML libraries like PyTorch/TensorFlow, and study at a Canadian university, working hybrid (3 days/week in-office).
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.
Skills
As published by greenhouse · 12 questions
Basics
First Name, Last Name, Email, Phone, Resume/CV, Location
Short answers (4)
- Please describe any need for a reasonable accommodation for this hiring process (no documentation required). optional
- LinkedIn Profile optional
- Zip / postal code
- I certify that the facts set forth in this Application for Employment are true and complete to the best of my knowledge. I understand that if I am employed, false statements, omissions or misrepresentations may result in my dismissal. I authorize the Employer to make an investigation of any of the facts set forth in this application and release the Employer from any liability. The employer may contact any provided references.
Pick from a list (8)
- Are you currently attending a university in Canada?
- What is your anticipated graduation month and year?
- May we contact your current employer?
- Work Authorization
- Please review the linked document:
- Please share your gender pronouns. optional
- Have you been employed by Lyft, or any subsidiary, affiliate, or business unit of Lyft, in the past (whether on a full-time or part-time basis)?
- This position is required to work out of a Lyft Office in Toronto, if you do not reside within the country and within commutable proximity to the office, are you open to relocating?
