In-Cabin Perception ML Engineer for Autonomous Vehicles

Motion Recruitment; San Mateo (CA); On-site; USD 140,000 - 190,000; Full time

Job summary

Motion Recruitment's client, an autonomous robotaxi company in San Mateo, CA, is seeking a Machine Learning Computer Vision Engineer to join the perception team. The role involves Python, C++, and CUDA to develop perception CV modules for robotic vehicles and safety-critical applications.

Responsibilities include designing in-cabin CV ML modules for safety-critical perception, implementing model architectures and training techniques, building large datasets from sensor inputs, and validating

Qualifications

• Bachelor's degree in CS and/or CE required.
• Strong background in CV and ML, especially 3D reconstruction, detection, classification, semantic segmentation.
• Experience training and deploying deep learning models.
• Proficiency in C++ and Python.

Responsibilities

• Design and develop in-cabin CV ML modules for safety-critical perception and monitoring.
• Implement perception model architectures and training techniques.
• Build high-quality datasets from sensor inputs for large-scale data.
• Validate and optimize solutions in real-world driving scenarios.

Skills

3D reconstruction

Object detection

Semantic segmentation

Deep learning training & deployment

C++

Python

Education

Bachelor's Degree in Computer Science/Engineering

Tools

CUDA

Job description

Motion Recruitment's client, an autonomous robotaxi company in San Mateo, CA, is seeking a Machine Learning Computer Vision Engineer to join the perception team. The role involves Python, C++, and CUDA to develop perception CV modules for robotic vehicles and safety-critical applications.

Responsibilities include designing in-cabin CV ML modules for safety-critical perception, implementing model architectures and training techniques, building large datasets from sensor inputs, and validating