ML Software Engineer, Safety and Customer Care AI
Core
Fine-tune and align open-source LLMs, build agentic AI support agents, and develop evaluation frameworks for safety and customer care at scale.
Role type
Senior IC machine learning engineer (agentic AI)
Builds
AI-powered support agents and end-to-end systems for safety case management
Domain
Ride-sharing platform safety and customer care
Deliverable
production ML models | product features
Required skills
post-training open-source LLMs (SFT, LoRA, RLHF, RLAIF, RLVR), agentic development (LangGraph), AI/LLM evaluation, Python, PyTorch, traditional ML (classification, ranking, gradient-boosted trees)
Preferred skills
ML/AI in customer support or trust & safety workflows, PhD in CS/ML/Statistics, publications at top-tier venues (NeurIPS, ICML, ICLR, ACL, CVPR)
Technologies
LangGraph, PyTorch, Python, open-source LLMs
Responsibilities
Curate and process human/synthetic data for post-training; develop, evaluate, and productionize AI agents; build and scale evaluation frameworks (golden sets, rubric-based grading, LLM-as-judge); ship models/agents into real-time production with monitoring; apply traditional ML for specific tasks
Seniority
Senior, hands-on IC
