Staff Machine Learning Engineer (Employer of Record)
Core
Design, build, and scale AI-powered solutions (including GenAI and LLMs) to solve complex business challenges in used car finance, impacting dealers, consumers, and internal operations.
Role type
Staff Machine Learning Engineer (Strategy & Hands-on IC)
Builds
Enterprise-grade LLM-powered solutions, multi-agent GenAI systems, RAG pipelines, and scalable ML inference platforms.
Domain
Used car finance / Decision Science / Generative AI
Deliverable
production ML models | product features | infrastructure
Required skills
Large Language Models (LLMs), deep learning, graph neural networks, causal inference, multi-armed bandits, XGBoost, Causal Meta-Learners, parameter-efficient fine-tuning (LoRA, QLoRA, PEFT), hybrid retrieval, reranking, query expansion, orchestration of AI agents, system architecture design, security best practices.
Preferred skills
Experience with LangChain, LlamaIndex, building evaluation frameworks for LLMs, integrating LLMs with enterprise architecture.
Technologies
LangChain, LlamaIndex, XGBoost, LoRA, QLoRA, PEFT, Bayesian contextual multi-armed bandits, Causal Meta-Learner.
Responsibilities
Define strategic roadmaps and translate them into actionable quarterly plans; architect and implement enterprise-grade LLM solutions from requirements to production; design and develop multi-agent GenAI systems; engineer robust RAG pipelines; implement parameter-efficient fine-tuning strategies; build ML and GenAI platform and inference pipelines; mentor team members on design principles and AI tool adoption.
Seniority
Staff, strategy & mentorship