Machine Learning Engineer - Perception Computer Vision

Job description

HireArt is helping our client find Machine Learning Engineers, Perception Computer Vision, to develop advanced computer vision systems that enhance in-vehicle perception, directly impacting safety and fleet efficiency across the company’s robotic platform.

In this role, you’ll contribute across the full machine learning lifecycle, from data collection and dataset development to model design, training, deployment, and validation, working closely with large-scale real-world sensor data.

The ideal candidate is technically strong in modern computer vision, comfortable working with large datasets, and motivated by building safety-critical perception systems.

As a Machine Learning Engineer - Perception Computer Vision, you'll :

• Design and develop in-cabin computer vision models for safety-critical perception and monitoring applications.
• Implement advanced perception model architectures and training techniques.
• Build high-quality datasets using multimodal sensor inputs and large-scale fleet data.
• Train, validate, and optimize deep learning models using real-world driving scenarios.
• Evaluate model performance and robustness to ensure reliability in production environments.
• Collaborate cross-functionally to integrate perception models into the broader autonomous system.

Requirements

Bonus Qualifications :

Benefits :

Commitment : This is a full-time, ongoing contract position staffed via HireArt. It will be hybrid (requiring at least three days on-site) and available to candidates who are local to the Foster City, CA area.

HireArt values diversity and is an Equal Opportunity Employer. We are interested in every qualified candidate who is eligible to work in the United States. Unfortunately, we are not able to sponsor visas or employ corp-to-corp.