Deep Learning Engineer

Deep Learning Engineer - Motion Planning Algorithms

Location: Haifa, Israel

Reporting to: Motion Planning Group Leader, Tomer Harari Hamam Tomer Harari Hamam, PhD | LinkedIn

Imagry is looking for a dedicated Deep Learning Engineer to join our dynamic Motion Planning team. You will play a pivotal role in developing and optimizing deep learning models, focusing on motion planning and decision-making algorithms for autonomous driving systems. If you are passionate about pushing the boundaries of autonomous vehicle technology through cutting-edge AI and machine learning approaches, we’d love to have you on our team.

Responsibilities:

• Design and implement deep learning models for supervised and reinforcement learning tasks, focusing on motion planning algorithms.
• Collaborate cross-functionally with teams to ensure smooth integration of learning-based models with existing perception and control systems.
• Optimize and fine-tune models using the PyTorch framework, ensuring efficient execution and scalability for real-time applications.
• Conduct thorough experiments and evaluations to assess and improve model performance based on key metrics.
• Stay updated with the latest research and trends in deep learning, supervised learning, and reinforcement learning for autonomous vehicle technologies.
• Maintain code quality through peer reviews, adhere to best coding practices, and ensure proper documentation of processes and experiments.

Qualifications:

• Proficiency in Python and C++ for deep learning and algorithm development.
• Strong experience with deep learning frameworks, particularly PyTorch (experience with TensorFlow is a plus).
• Solid understanding of supervised learning and reinforcement learning concepts.
• Familiarity with model evaluation metrics and various techniques for improving model accuracy and robustness.
• Experience in data preprocessing and feature engineering for deep learning tasks.
• Strong knowledge of statistics and estimation methods.
• Comfortable with both classical modeling techniques and advanced deep learning methods.
• Problem-solving mindset with the ability to work independently.
• Strong teamwork and communication skills to collaborate effectively across teams.

Preferred Qualifications:

• Prior experience with algorithms for autonomous driving (vision, motion planning, control).
• Familiarity with planning algorithms in the context of autonomous systems.