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 environment.

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)
🏢 Socotra
📍 Toronto