Job Description
📋 Description Fine-tune and align models for SCC use cases Build AI-powered support agents and end-to-end agents Develop evaluation data flywheel and benchmarks Turn feedback into training data and signals Ship models to real-time production with safety guardrails Collaborate with product, ops, and data science 🎯 Requirements 3+ years in applied ML/AI; MS/PhD preferred Post-training with open-source models; SFT/LoRA/RLHF/RLAIF/RLVR Agentic development with LangGraph or equivalents Experience AI/LLM evaluation (offline/online) Production ML/AI deployments in real-time Strong Python and PyTorch skills 🎁 Benefits Extended health, dental, life, disability benefits Mental health benefits Family building and child care benefits Lyft HealthCare Savings Account; RRSP with company match Hybrid in-office with flexible PTO and parental leave Commuter benefits and ride credits
