# Software Engineer Intern, Machine Learning (Summer 2027 - Toronto)

**Company**: Lyft
**Location**: Toronto, ON
**Work arrangement**: onsite
**Experience**: entry
**Job type**: internship
**Category**: Engineering
**Industry**: Technology

**Apply**: https://job-boards.greenhouse.io/lyft/jobs/8802332002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_3df276df-1c8

## 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

## Skills

### Required
- Python
- scikit-learn
- Tensorflow
- PyTorch
- Keras
- MXNet
- Machine Learning

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/lyft/jobs/8802332002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)