Drive innovation at Lyft as an AI Engineer at the intersection of safety and customer care. In this hybrid position, you will develop cutting-edge AI solutions to enhance user interactions. The Safety and Customer Care (SCC) team relies on your expertise in machine learning to adapt and optimize models for over 1.7 million monthly interactions.

You will foster a seamless user experience, transforming challenges into prospects for meaningful connections between riders and drivers. Key Responsibilities:
Conduct literature reviews to guide post-training frameworks
Create and evaluate AI agents throughout the development lifecycle
Execute regression testing and build evaluation benchmarks
Integrate human feedback into model improvement cycles




Apply traditional ML techniques in collaboration with diverse stakeholders Requirements:
Minimum 3 years in ML/AI, MS or PhD in relevant field
Comprehensive experience with fine-tuning techniques
Experience with agent development and lifecycle management
Robust Python programming skills and PyTorch experience
Proven track record in AI evaluation and deployment Join Lyft’s mission to enhance support through intelligent AI and help define the future of safety in ridesharing.

📌 Ai Engineer For Safety And Support At Lyft Toronto (Canada)
🏢 Socotra
📍 Canada