Required Experienced Deep Learning Algorithm Developer – Perception Solutions
Join our Perception Solutions team, working on significant computer vision challenges and solving them with cutting-edge neural networks combined with heuristic solutions.
In this role, you will join at the beginning of an end-to-end development cycle, leveraging advanced approaches to enable direct vision modeling beyond traditional image-processing pipelines and help advance the next generation of autonomous driving technology.
What will your job look like:
Contribute to building a new deep learning project from scratch, with real impact on production systems.
Work on end-to-end model development, including problem formulation, data understanding, model design, training, evaluation, optimization, and deployment.
Develop and train state-of-the-art deep learning models for computer vision tasks.
Explore and define the best technical approach in an open, research-driven environment, where solutions are not predefined.
Tackle real-world challenges where model performance is critical and directly impacts product capabilities.
Join our Perception Solutions team, working on significant computer vision challenges and solving them with cutting-edge neural networks combined with heuristic solutions.
In this role, you will join at the beginning of an end-to-end development cycle, leveraging advanced approaches to enable direct vision modeling beyond traditional image-processing pipelines and help advance the next generation of autonomous driving technology.
What will your job look like:
Contribute to building a new deep learning project from scratch, with real impact on production systems.
Work on end-to-end model development, including problem formulation, data understanding, model design, training, evaluation, optimization, and deployment.
Develop and train state-of-the-art deep learning models for computer vision tasks.
Explore and define the best technical approach in an open, research-driven environment, where solutions are not predefined.
Tackle real-world challenges where model performance is critical and directly impacts product capabilities.
Requirements:
M.Sc. in Computer Science, Electrical Engineering, or Software Engineering (Ph.D. is an advantage).
3+ years of hands-on experience in end-to-end deep learning model development and training.
Strong programming skills in Python and C++.
Experience working with Transformer-based models- advantage.
Strong understanding of model behavior, training dynamics, and performance optimization.
Ability to tackle complex challenges with strong problem-solving skills and a deep-dive approach.
M.Sc. in Computer Science, Electrical Engineering, or Software Engineering (Ph.D. is an advantage).
3+ years of hands-on experience in end-to-end deep learning model development and training.
Strong programming skills in Python and C++.
Experience working with Transformer-based models- advantage.
Strong understanding of model behavior, training dynamics, and performance optimization.
Ability to tackle complex challenges with strong problem-solving skills and a deep-dive approach.
This position is open to all candidates.
