DevJobs

Deep Learning Engineer

Overview
Skills
  • C++ C++
  • Python Python
  • PyTorch PyTorch
  • TensorFlow TensorFlow

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.
Imagry