Remote Senior ML Systems Engineer - Evaluation & AV Insight

General Motors

Washington

Remote

USD 157,000 - 261,000

Full time

14 days+

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Benefits offered by this job

Health benefits
GM vehicle discounts
Tuition assistance

Job summary

General Motors is seeking a Senior Engineer for the Embodied AI Scaling Foundations team to measure and visualize AV model performance at scale. You will design and implement evaluation and introspection tools used by GM AV teams, collaborating across Data, Infra, and validation groups.

You will influence model quality, deployment readiness, and data-driven decisions, working with model-based metrics, end-to-end simulation, and scalable workflows. Remote work is supported with travel as needed.

Qualifications

  • 3+ years of relevant industry experience.
  • Experience with Python, Node.js, React/TypeScript, and data/infra tools.
  • Bachelor's degree in Computer Science or related field or equivalent experience.

Responsibilities

  • Build evaluation signals and introspection tools for model evaluation.
  • Develop visualization and metrics within the evaluation loop.
  • Help teams introspect model behavior and drive actionable steps.
  • Collaborate with Data, Infra, and validation teams to connect offline evaluation with real-world behavior.

Skills

Python
Node.js
React/TypeScript
WebGL/WebGPU
Streamlit
Jupyter notebooks
Spark
BigQuery
Kubernetes
Communication skills

Education

Bachelor's degree in Computer Science or related field
Master's or PhD in Computer Science or related field

Tools

BigQuery
Kubernetes

Job description

General Motors is seeking a Senior Engineer for the Embodied AI Scaling Foundations team to measure and visualize AV model performance at scale. You will design and implement evaluation and introspection tools used by GM AV teams, collaborating across Data, Infra, and validation groups.

You will influence model quality, deployment readiness, and data-driven decisions, working with model-based metrics, end-to-end simulation, and scalable workflows. Remote work is supported with travel as needed.

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