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
• Strong 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.
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📌 Machine Learning Engineer at Lyft (Ontario)
🏢 Socotra
📍 Ontario