Shape the future of ride-sharing with Lyft as a Senior Machine Learning Engineer. Apply your machine learning skills in a collaborative, hybrid setting to enhance user experiences.
You will join the Rider Applied AI team, focusing on developing state-of-the-art machine learning models from concept to deployment. The position emphasizes innovation and technical leadership, requiring proficiency in tools like Tensor Flow and an understanding of deep learning frameworks.

Collaboration across various teams is essential to amplify business strategies with effective ML solutions.

Key Responsibilities:

- Develop machine learning models for real-time applications
- Create reliable ML pipelines integrated with existing systems




- Innovate by assessing new algorithms and frameworks
- Partner with product teams to align on business goals
- Provide mentorship and maintain high code standards

Requirements:

- M.S. or Ph.D. in Computer Science or a related field
- 5+ years in machine learning modeling
- Solid programming skills in Python or Golang
- Knowledge of ML statistical concepts
- Proven capability in resolving complex problems

Transform data into actionable insights at Lyft and redefine transportation with your machine learning expertise.

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📌 Lyft Senior Engineer for Machine Learning (Toronto)
🏢 Socotra
📍 Toronto