Job Description

Machine Learning and Computer Vision Engineer

A leading innovator in automotive safety and advanced driver assistance systems (ADAS) is seeking a skilled Machine Learning and Computer Vision Engineer to join their development team. This company focuses on cutting-edge sensor technology, laser scanning, and AI-driven perception systems that improve urban traffic safety and reduce collisions with vulnerable road users.

This role will be crucial to developing and refining perception algorithms and machine learning models that drive next-generation automotive systems. The ideal candidate will bring a blend of technical expertise in machine learning and computer vision, coupled with experience in managing large datasets for training and validation.

Responsibilities:

• Develop and optimize machine learning models and algorithms for computer vision, focusing on real-time object detection and tracking.
• Use machine learning frameworks (e.g., TensorFlow, PyTorch) and computer vision libraries (e.g., OpenCV) to preprocess image and video data.
• Implement and improve auto-labeling and data annotation processes, using techniques like active learning or weak supervision to efficiently manage large-scale datasets.
• Collaborate with cross-functional teams to integrate perception models into complex ADAS and autonomous systems.

Qualifications:

• Bachelor's or Master's degree in Computer Science, Electrical Engineering, or related field.
• Proven experience in machine learning and computer vision, particularly with model training, data preprocessing, and real-time applications.
• Proficiency with ML frameworks (TensorFlow, PyTorch) and vision libraries (OpenCV).
• Familiarity with auto-labeling tools, active learning, and weak supervision techniques.
• Strong analytical and problem-solving skills.
• Experience in the automotive industry is a plus, particularly in ADAS or autonomous driving.