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Deep Learning Algorithm Developer
On-siteFull-timeAI & Machine LearningAutomotive
Develop advanced computer vision and deep learning algorithms for lane detection, ADAS, and autonomous driving systems. Take algorithms from research and prototyping through deployment on real-time embedded vehicle systems.
Responsibilities
- Research and develop computer vision and deep learning algorithms for ADAS and autonomous driving.
- Participate in research, prototyping, development, and deployment on real-time embedded vehicle systems.
- Analyze large datasets to improve algorithm performance and robustness.
- Collaborate with computer vision, machine learning, and data engineering teams to solve real-world problems.
Requirements
- B.Sc. or M.Sc. in Computer Science or Engineering with excellent academic performance.
- At least 3 years of hands-on experience developing deep learning algorithms, preferably in computer vision or autonomous driving perception.
- Strong understanding of data structures, algorithms, and deep learning principles.
- Hands-on algorithm development experience.
- Ability to solve problems independently and collaborate effectively.
Nice to have
- Experience with TensorFlow or PyTorch.
- Familiarity with cloud platforms and tools such as AWS or GCP.