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About the Role
Lyft is seeking students with machine learning workflow experience for an internship opportunity. This role involves solving challenging problems using data in a dynamic, creative, and collaborative environment, contributing to the next-generation ML platform for low-cost transportation.
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, and communicate findings to support decisions.
- Participate in code and spec reviews to ensure code quality and distribute knowledge.
Requirements
- Currently pursuing a Bachelor's, Master's, or PhD degree in Computer Science or a related technical field from a university in Canada.
- Graduation date between December 2027 and Summer 2028.
- For master's students who worked between their bachelor's and master's programs, candidates should 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.
Skills
- Machine learning workflows
- Python
- scikit-learn
- Tensorflow
- PyTorch
- Keras
- MXNet
Location
- Toronto
Work Type
- Hybrid
- In-office
Experience Level
- Internship
Education Level
- Bachelor's degree
- Master's degree
- PhD
Salary/Compensations
- CAD $46 - CAD $53 per hour
Benefits
- Mental health benefits
- 2 days paid time off
- 3 days sick time off
- Subsidized commuter benefits
- Lyft ride credits
About the Company
- Lyft's purpose is to serve and connect.
- Lyft is solving hard problems in a flourishing domain with a lot of data and creative solutions in Marketplace, Mapping, Fraud, Growth and beyond.
- Lyft is 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.
- Lyft highly values having employees working in-office to foster a collaborative work environment and company culture.
Equal Opportunity
- 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.
- Lyft may use artificial intelligence to screen applicants, however, Lyft employees make the ultimate selection and hiring decisions.