Machine Learning Engineer, Safety and Customer Care AI

Sourced from aihiringboard.com

Lyft's Safety and Customer Care team is hiring a Machine Learning Engineer to build and scale AI agents that handle millions of rider and driver support interactions. You will post-train open-source LLMs, design agentic workflows, and own evaluation frameworks to ensure safety-critical reliability. This role sits at the intersection of applied ML, agent development, and production deployment.

• Post-train and adapt open-source LLMs using SFT, LoRA, and preference-tuning methods (RLHF, RLAIF, RLVR).
• Design and build AI-powered support agents and end-to-end agents for safety case management using LangGraph or equivalent frameworks.
• Own the evaluation data flywheel, including offline and online benchmarks, golden sets, rubric-based grading, and LLM-as-judge.
• Ship models and agents into real-time production with monitoring and guardrails for millions of monthly interactions.
• Apply traditional ML techniques (classification, ranking, gradient-boosted trees) where appropriate.
• Partner with product, operations, and data science teams to scope problems and define success metrics.

• 3+ years of industry experience in applied ML/AI, with an MS or PhD in Computer Science, Machine Learning, AI, or a related field.