Senior ML Evaluation & Visualization Engineer - Remote

General Motors; Sunnyvale (CA); Remote; USD 145,000 - 261,000; Full time

Benefits offered by this job

Health & wellbeing benefits

Retirement plan

GM vehicle discounts

Job summary

General Motors is seeking a Senior Engineer in the Embodied AI Scaling Foundations group to design, implement, and iterate on evaluation tools for AV model performance. You will collaborate across data, infra, and validation teams to connect offline evaluation with real-world behavior.

You will drive end-to-end evaluation workflows, including model-based metrics, simulation, and visualization, impacting rollout decisions and safety in autonomous driving systems.

Qualifications

• 3+ years of industry experience.
• Proficiency with Python or Node.js backends and high-throughput data streaming.
• Frontend: React/TypeScript, WebGL/WebGPU, Streamlit, Jupyter notebooks.
• Data/Infra: Spark, BigQuery, Kubernetes.
• Strong communication and collaboration across engineering partners.
• Bachelor's degree in Computer Science or related field or equivalent experience.

Responsibilities

• Build and improve evaluation signal and introspection tools for model assessment.
• Develop visualization and metrics presentation within the evaluation loop.
• Help teams introspect model behavior and drive actionable next steps.
• Collaborate with Data, Infra, and validation teams to connect offline evaluation with real-world behavior.
• Work with modeling and data scaling teams on end-to-end evaluation workflows at scale.

Skills

Python

Node.js

Data streaming

React/TypeScript

WebGL/WebGPU

Streamlit

Jupyter notebooks

Spark

BigQuery

Kubernetes

Communication

Education

Bachelor's degree in Computer Science or related field

Job description

General Motors is seeking a Senior Engineer in the Embodied AI Scaling Foundations group to design, implement, and iterate on evaluation tools for AV model performance. You will collaborate across data, infra, and validation teams to connect offline evaluation with real-world behavior.

You will drive end-to-end evaluation workflows, including model-based metrics, simulation, and visualization, impacting rollout decisions and safety in autonomous driving systems.