Senior Software Engineer, ML Evaluation

About the role

You will design and implement systems to measure the performance of machine learning models within our autonomous vehicle stack. This role focuses on building infrastructure that validates model accuracy and safety to ensure our self-driving technology meets rigorous standards.

Key facts

What you'll do

• Develop software frameworks to automate the evaluation of machine learning models.
• Create metrics and diagnostic tools to identify model regressions and performance gaps.
• Collaborate with research and engineering groups to integrate evaluation pipelines into the development lifecycle.
• Analyze large datasets to provide insights into model behavior across diverse driving scenarios.

Requirements

• Professional experience in software engineering with a focus on machine learning infrastructure.
• Proficiency in Python and C++.
• Experience building large-scale data processing or evaluation pipelines.
• Familiarity with machine learning frameworks and model validation techniques.

Nice to have

• Background in autonomous vehicle technology or robotics.
• Experience with cloud-based distributed computing systems.
• Knowledge of data visualization tools for model performance analysis.

Skills & tools

• Python
• C++
• Machine Learning Infrastructure
• Data Pipeline Development

Practical notes

Motional provides comprehensive benefits and competitive compensation packages. Applications must be submitted through the official Motional careers portal.