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
• Robust 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.
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