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Machine Learning Engineer, Senior Manager

USA - Remote🌐 Remote💼 Full-time💰 $184,354–$184,354🗓 2026-06-29 → 2026-07-31

Core

Lead the vision and strategic execution of AI/ML solutions, partnering with business and engineering stakeholders to deliver innovative solutions for dealers, consumers, and team members.

Role type

Senior Manager, Machine Learning & AI Engineering

Builds

AI-powered solutions, ML/Gen-AI platforms, inference pipelines, and scalable systems for used and new car financing.

Domain

Automotive financing / Machine Learning & Generative AI

Deliverable

production ML models | product features | infrastructure

Required skills

Decision science, machine learning, generative AI, large language models (LLMs), deep learning, graph neural networks, Reinforcement Learning, recommendation systems, Transformers, ML/LLM Operations, system scalability, test and learn approach

Preferred skills

Automotive industry experience, model interpretability, responsible AI, advanced experimentation, DAG pipelines (Kubeflow, DVC, Ray), microservices (gRPC, GraphQL), Databricks MLflow/Model Serving, GenAI frameworks (Airflow, Spark, Flink, Kafka, Snowflake), parameter-efficient fine-tuning, quantization, Chain-of-Thoughts prompting

Technologies

LLMs, Transformers, XGBoost, Causal Meta-Learner, Kubeflow, DVC, Ray, gRPC, GraphQL, Databricks MLflow, Apache Airflow, Spark, Flink, Kafka, Kinesis, Snowflake

Responsibilities

Lead strategic roadmaps and translate them into actionable quarterly plans; drive execution and delivery of ML/AI solutions by managing priorities and deadlines; design and deliver scalable, secure systems using state-of-the-art AI/ML technologies; troubleshoot and resolve complex technical issues to improve system reliability; ensure security and architectural integrity of feature designs; mentor data professionals on design principles and AI productivity tools; explore and apply advanced ML techniques (LLMs, deep learning, graph neural networks) to solve complex challenges; guide a team of MLEs across different areas including recommendations, growth, Gen-AI, and engineering pipelines.

Seniority

Senior Manager, hands-on IC with leadership responsibilities

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