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 workplace.

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 • Strong 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. #J-18808-Ljbffr

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