Principal AI Scientist
4 months ago
LeddarTech, headquartered in Quebec City with R&D centers in Montreal and Tel Aviv, We specialize in AI-based low-level sensor fusion and perception software.
Our solutions enable the deployment of advanced driver assistance systems (ADAS), autonomous driving (AD) and parking applications. Utilizing advanced AI and computer vision algorithms, our automotive-grade software, LeddarVision, generates precise 3D environmental models for improved decision making and navigation safety.
OUR MISSION
Deliver high-performance AI automotive software that enables the market to deploy ADAS features reducing the number of road accidents and making transportation more enjoyable and efficient.
YOUR MISSION
The Advanced Engineering group is researching the use of generative AI to enhance the realism of synthetic data used to train sensor fusion and perception networks, as well as to generate entirely new scenes. The group is also researching the use of large language models to assist with scenario generation and AI explainability challenges. These innovative efforts are not only aimed at increasing the cost-effectiveness, diversity, and reusability of training data but also at revolutionizing the way AI systems learn and interact with the world. By leading these advancements, the Advanced Engineering group is shaping the future of AI development and deployment.
Main Job Tasks, Duties, and Responsibilities
- Conduct comprehensive literature surveys, proofs of concepts, and product-oriented algorithms research.
- Design Python-level algorithm reference code for various applications.
- Plan and design test metrics and evaluation methods to assess the performance of developed algorithms.
- Perform design reviews, ensuring the quality and efficiency of algorithmic solutions.
- Contribute to the development, integration, and testing of the code base.
- Collaborate with the team to deploy knowledge and technology throughout the company.
The Ideal person for this job will have
- PhD or MSc in Electrical Engineering, Computer Science, or Physics.
- Expertise in robotic and machine learning algorithm development.
- Proficiency in 3D sensors simulation.
- Research experience in Neural Radiance Field.
- Practical experience in DNN (Deep Neural Network) training.
- Strong Python coding skills.
- Proven experience in algorithm development and innovations in robotics, machine learning, and sensors simulation.
- Relevant experience in research projects related to the applied sciences.
- Publications in renowned conferences and journals related to artificial intelligence and algorithms.
OUR VALUES
Customer - Our customers are at the foundation of our actions.
LIFE AT LEDDARTECH
Flexibility: Many positions in the organization allow for flexible and hybrid work hours.
Investment in Learning: Opportunities to attend seminars, trainings, and conferences to enhance your skills.
Comprehensive compensation package including short term incentives and long term incentives.-
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