Machine Learning Engineer - Perception Computer Vision

Machine Learning Engineer - Perception Computer Vision

Client 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.

Design and develop in-cabin Computer Vision ML modules for safety critical perception and monitoring applications Implement Perception model architectures and sophisticated training techniques Build high quality datasets leveraging all the inputs from our sensor stack and the overall large scale data we have at company. Validate and optimize your solutions using real-world driving scenarios, directly contributing to the safety and reliability of company's autonomous system

Bachelor's Degree in Computer Science and/or Computer Engineering with 4+ years of experience 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: Experience with any of the following: Self-driving industry experience Experience delivering ML model integration in latency-sensitive systems Experience with CUDA code Business driver of role