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 protected, effective AI solutions while enhancing Lyft's customer care experience.#J-18808-Ljbffr

📌 Machine Learning Engineer At Lyft Winnipeg
🏢 Socotra
📍 Winnipeg