Machine Learning and Computer Vision Engineer

Machine Learning and Computer Vision Engineer

Company Overview:
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.

Role Overview:
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.