Senior ML Engineer — Conversational AI for Auto Retail

Bot Jobs; Myrtle Point (OR); On-site; USD 142,000 - 177,000; Full time

Benefits offered by this job

Equity Packages

Flexible PTO

Fully Covered Group Insurance

Job summary

Numa is hiring a Senior Machine Learning Engineer to build and ship ML/AI systems that interact with customers at scale. You will work across products and platforms, shipping AI features including prompts, agents, tools, and production ML models, while contributing to ML platform hosting, model serving, and observability.

The role emphasizes evaluation-first design, CI and production readiness, and collaboration with teams to drive reliable AI solutions for automotive dealership workflows.

Qualifications

• 6+ years of software or machine learning engineering experience with production ML/LLM systems.

Responsibilities

• Build conversational AI systems for phone and SMS that understand customer needs, take action, and know when to act autonomously
• Develop tooling such as memory, knowledge graphs, and validated customization that help agents reason and adapt to dealership needs
• Train, evaluate, and deploy ML models using Ray Serve and Dagster for prediction, classification, ranking, and capacity forecasting, and keep them healthy in production
• Create offline and online evaluations, simulations, and CI gates that catch regressions and continuously measure quality in production
• Implement shared evaluation, observability, and LLM tooling that helps product squads ship faster and more reliably
• Raise the engineering bar through design and code reviews, technical writing, and mentorship
• Work autonomously when goals are clear and help create clarity when they are not

Skills

Python

ML/LLM systems

Production deployment

Evaluation-first mindset

Code reviews

Communication

Tools

Ray Serve

Dagster

Vertex AI

GCP

Kubernetes

LiveKit

Job description

Numa is hiring a Senior Machine Learning Engineer to build and ship ML/AI systems that interact with customers at scale. You will work across products and platforms, shipping AI features including prompts, agents, tools, and production ML models, while contributing to ML platform hosting, model serving, and observability.

The role emphasizes evaluation-first design, CI and production readiness, and collaboration with teams to drive reliable AI solutions for automotive dealership workflows.