Transform customer care experiences as a Machine Learning Engineer at Lyft, focusing on AI for safety and support. This role emphasizes a blend of innovation and practical application in a hybrid work setting.

Joining

Lyft's SCC team, you will fine-tune models tailored to support riders and drivers, ensuring their safety and comfort. Your contributions will play a critical role in building effective AI agents and defining standards of excellence within real-time systems. Key Responsibilities:
Adapt open-source models using advanced tuning methods
Build AI-powered support systems for safety case management
Develop evaluation frameworks that ensure agent efficacy
Monitor and ship models in high-volume, real-time settings
Collaborate to define success metrics for AI solutions Requirements:
3+ years of dedicated ML/AI experience, MS or PhD required
Proficiency in SFT, LoRA, RLHF tuning paradigms
Agentic development experience with LangGraph or similar
Solid command of Python and experience with PyTorch
Successful history of deploying AI-ML solutions Help elevate Lyft’s customer care through intelligent AI and make a genuine impact on safety and support.

📌 Lyft Machine Learning Engineer Customer Care Toronto (Canada)
🏢 Socotra
📍 Canada