About the company
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.
Responsibilities
- Design, build, and deploy machine learning models for real-time applications, including translating state-of-the-art research into production-ready solutions.
- Architect scalable, reliable ML pipelines that integrate seamlessly with existing backend systems.
- Stay ahead of the curve by exploring emerging algorithms, technologies (such as LLMs and LLM-based applications), and frameworks — critically evaluating new research and identifying high-impact use cases across business areas.
- Partner with ML engineers, product managers, data scientists, and software engineers to align ML initiatives with business goals.
- Leverage data-driven insights to inform and refine ML strategies and solutions.
- Provide technical direction, mentor Junior engineers, and foster a culture of learning and collaboration.
- Write production-level code and participate in code reviews to ensure quality and share knowledge across the team.
Requirements
- M.S. or Ph.D. in Computer Science or related technical field
- 5+ years (or Ph.D. with 3+ years) of experience in machine learning modelling or related fields
- Experience with deep learning technologies for recommendation systems, including TensorFlow, PyTorch, or similar frameworks
- Understanding of statistical concepts such as hypothesis testing, regression analysis, and performance evaluation metrics for machine learning
- Experience with translating state-of-the-art ML research into production systems
- Proficiency in Python, Golang, or other programming language
- Proven ability to tackle ambiguous problems and deliver solutions at scale.
- Strong communication and interpersonal skills for effective cross-functional collaboration.
Conditions
- 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.
- Lyft is proud to support new parents with 18 weeks of paid time off.
- 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.