Senior ML Evaluation & Tooling Engineer

General Motors Africa & Middle East

United States

Remote

USD 145,000 - 261,000

Full time

3 days ago
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Benefits offered by this job

Health benefits
Vehicle discounts
Retirement plan

Job summary

General Motors Africa & Middle East seeks a Senior Engineer in the Embodied AI Scaling Foundations group to measure and visualize AV model performance across the stack. You will design and implement evaluation and introspection tools used by Embodied AI and GM AV teams, collaborating with data, infra, and validation partners to connect offline signals with real-world decisions.

Join a high-impact team shaping the safety, reliability, and scalability of next-generation autonomous systems through

Qualifications

  • 3+ years of relevant industry experience.
  • Bachelor's degree in Computer Science or related field or equivalent experience.

Responsibilities

  • Build and improve high-quality evaluation signal and introspection tools that help shorten the experimental path towards the best model.
  • Develop and maintain visualization and metrics presentation within our model evaluation loop.
  • Help teams introspect model behavior and reach actionable next steps with fewer manual steps.
  • Participate in design and code reviews and work with Data, Infra, and validation teams to connect offline evaluation with real-world behavior.

Skills

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

Education

Bachelor's degree in Computer Science or related field

Tools

Python
Node.js
React
TypeScript
Spark
BigQuery
Kubernetes
WebGL

Job description

General Motors Africa & Middle East seeks a Senior Engineer in the Embodied AI Scaling Foundations group to measure and visualize AV model performance across the stack. You will design and implement evaluation and introspection tools used by Embodied AI and GM AV teams, collaborating with data, infra, and validation partners to connect offline signals with real-world decisions.

Join a high-impact team shaping the safety, reliability, and scalability of next-generation autonomous systems through

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