Machine Learning and Computer Vision Engineer
Machine Learning and Computer Vision Engineer
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Job Description
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 cuttingedge sensor technology laser scanning and AIdriven 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 nextgeneration 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 realtime 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 autolabeling and data annotation processes using techniques like active learning or weak supervision to efficiently manage largescale datasets.
- Collaborate with crossfunctional teams to integrate perception models into complex ADAS and autonomous systems.
Qualifications:
- Bachelors or Masters degree in Computer Science Electrical Engineering or related field.
- Proven experience in machine learning and computer vision particularly with model training data preprocessing and realtime applications.
- Proficiency with ML frameworks (TensorFlow PyTorch) and vision libraries (OpenCV).
- Familiarity with autolabeling tools active learning and weak supervision techniques.
- Strong analytical and problemsolving skills.
- Experience in the automotive industry is a plus particularly in ADAS or autonomous driving.
Employment Type
Full Time
