Machine Learning AI Engineer

Saxon Global • Palo Alto, CA

1d

About The Position

This role involves developing and deploying Machine Learning and AI solutions, particularly within the automotive sector for Advanced Driver-Assistance Systems (ADAS). The engineer will be responsible for incorporating models into complex build pipelines, deploying them to hardware, and ensuring their robustness through various testing methods. The position requires a strong software development background, the ability to write scalable and reusable code, and experience with CI/CD tools and practices. The ideal candidate will be a proactive learner, capable of working autonomously across teams and navigating technical challenges with minimal supervision.

Requirements

• Bachelors degree in engineering, computer science, or related field.
• Experience with supervised and unsupervised learning methods.
• Experience with automotive software, ideally for ADAS.
• Experience deploying AI/ML solutions in automotive.
• Experience incorporating models as part of complex build pipelines.
• Experience deploying models to hardware.
• Time signal processing experience.
• Computer vision experience.
• 5+ years of professional software development experience.
• Experience writing scalable, reusable code in Python or similar.
• Experience writing Github Actions or similar (Jenkins, etc).
• Experience writing unit tests, doing cross-validation, and robustness testing/evaluation of models.
• Ability to operate effectively and autonomously across multiple teams.
• Ability to navigate technical ambiguity with only high-level direction.

Nice To Haves

• Generalist attitude and willingness to learn continuously.

Responsibilities

• Deploying AI/ML solutions in automotive environments.
• Incorporating models into complex build pipelines.
• Deploying models to hardware.
• Writing scalable, reusable code.
• Writing unit tests, performing cross-validation, and conducting robustness testing/evaluation of models.
• Operating effectively and autonomously across multiple teams.
• Navigating technical ambiguity with high-level direction.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior