Machine Learning Engineer - Perception Computer Vision

Source One is a consulting services company and we’re currently looking for the following individual to work as a consultant to our client, a ride-sharing autonomous vehicle company in Foster City, CA.

• We are unable to work with third-party companies for this role.

Title: Machine Learning Engineer - Perception Computer Vision (Contract)

Pay Rate: Up to $106.50/hr (W-2)

Hybrid Work Schedule: 3 days on-site / 2 days remote

Job description: Our client is seeking 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 machine 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.

Responsibilities

• 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.

Required Qualifications

• Bachelor's Degree in Computer Science and/or Computer Engineering
• 4+ years of experience in Modern Computer Vision and Machine Learning background, specifically on 3D reconstruction, detection, classification, semantic segmentation
• Experience with training and deploying Deep Learning models
• Background in C++ and/or Python
• Excellent communication skills

Bonus Qualifications

• Self-driving industry experience
• Experience delivering ML model integration in latency-sensitive systems
• Experience with CUDA code