Artificial Intelligence Engineer

Your Responsibilities

• Research, develop, benchmark, test and document state of the art algorithms for autonomous driving.
• Research new vision and other sensor technology, ideas, and approaches.
• Support Intellectual Property activities and generate Invention Disclosure Memos to facilitate patent applications.
• Contribute to design reviews across algorithm teams.
• Consider next generation algorithms and new business opportunities.
• Develop algorithms with a view to implementing on embedded platforms.
• Represent Valeo anSWer at various Industry Working Groups and at Conferences.
• Support the design and implementation of in-company training sessions in your area of expertise.
• Strive to improve competencies in the field of automotive sensors based ADAS, DL frameworks & techniques.
• Identify inefficiencies and suggest/implement improvements within the current processes used in algorithm development
  

Minimum Qualifications

• Bachelors or Masters in Computer Science, Artificial Intelligence, Data Science, or related field
• 2-5 years relevant experience in AI / DL development
• Strong knowledge of deep learning concepts and computer vision
• Experience with object detection models such as YOLO and semantic segmentation
• Expertise in python programming and strong software engineering practices
• Proficiency with version control tools such as git, bash scripting, and automation
• Excellent analysis & trouble-shooting skills using a structured documented approach
• Excellent communication skills, both written and verbal
• Confident, collaborative, self-motivated, determined & energetic
  

Highly Desirable Qualifications

• Specialization in one or more of these areas preferred~ Transformers, Multi-task learning, Optimization, and Multi-modal models.
• Experience designing complex systems with multiple algorithms or modules
• Academic publications in top-tier conferences such as CVPR, NeurIPS, ICCV, and ECCV.
• Experience with commercially deploying algorithms in robotics, LIDAR, camera systems, or sensor fusion.
• Experience developing algorithms for autonomous and/or real-time systems.
• Deep knowledge of camera systems.
• Automotive industry experience.
  

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