Elevate safety and customer care with Lyft as a Machine Learning Engineer. This hybrid role combines applied AI skills with a focus on enhancing support interactions for riders and drivers. As part of Lyft's Safety and Customer Care team, you will engage in fine-tuning open-source models and building AI agents, ensuring that safety and user satisfaction are paramount.

Collaborating with a diverse team of ML engineers, data scientists, and product managers will you help shape the future of support technology at Lyft. Key Responsibilities:

- Fine-tune open-source LLMs for safety and support use cases
- Develop AI-powered agents for real-time safety case management
- Build evaluation frameworks for agent performance
- Ship models with safety monitoring for user interactions
- Collaborate on metrics and solutions for product and data challenges

Requirements:

- 3+ years in applied ML/AI, including an MS or PhD
- Experience with SFT, LoRA, RLHF, and similar paradigms
- Proven ability in agentic development using LangGraph
- Robust programming skills in Python; proficient in PyTorch
- Experience in deploying AI applications for real-time use

Contribute to safe, effective AI solutions while enhancing Lyft's customer care experience.

📌 Machine Learning Engineer at Lyft (Toronto)
🏢 Socotra
📍 Toronto