Job Description

Responsibilities:

• Design and implement machine learning algorithms for object detection, tracking, and classification using camera data.

• Develop and optimize computer vision algorithms for tasks such as lane detection, traffic sign recognition, and pedestrian detection.

• Work closely with cross-functional teams to integrate machine learning models into existing systems.

• Stay up-to-date on the latest advancements in machine learning and computer vision and apply them to real-world problems.

• Analyze and improve the performance of existing machine learning models.

• Contribute to the development of innovative camera vision solutions for advanced driver assistance systems (ADAS) and autonomous driving.

• Design and build Visual Language Models

Qualifications:

• Ph.D. in Computer Science, Machine Learning, or a related field.

• Strong understanding of machine learning algorithms, including deep learning and convolutional neural networks.

• Extensive experience in computer vision, image processing, and object recognition.

• Proficiency in programming languages such as Python and C++.

• Experience with deep learning frameworks such as TensorFlow or PyTorch.

• Familiarity with automotive-grade standards and safety-critical applications is a plus.

• Strong problem-solving and analytical skills.

• Ability to work independently and as part of a team.