DESCRIPTION

Nexar-powered dash cams enable new vision-based applications for safer driving. When drivers pair Nexar-powered dash cams with the Nexar app, they join a network that powers new applications for driving and seeing the world. Using anonymous, aggregated data captured from this network, Nexar has developed a portfolio of vision-based data services for public and private sector partners to make roadways safer and more efficient. For automotive companies, Nexar’s network and crowd-sourced vision technology are a gateway to a new era of connected services and new killer apps for drivers, from Real-time Mapping Applications for Automated Driving to 3D Scenario Reconstruction of Corner-Cases for Autonomous Vehicles Simulation and Validation.

That’s where you get into the picture. We are on a quest to scale our AI team with individuals who are not only brilliant and passionate but also driven by our mission to reshape the future of mobility. As a Senior AI Researcher, you will be at the forefront of this transformative journey, pushing the boundaries of AI and contributing significantly to our cutting-edge projects.

RESPONSIBILITIES

• Cutting-Edge AI Research Scientist: Conduct research and development on cutting-edge AI technologies, including deep learning and computer vision, with an emphasis on generative AI models.

• Multimodal AI Modeling Specialist: Key research domains include Large Multi-modality Models (e.g., vision, language, audio, action), open-vocabulary scene understanding, large-scale retrieval, self-supervised learning, visual localization and knowledge-distillation for edge-AI applications.

• AI Product Transformation: Transform our massive large-scale datasets into impactful, life-saving AI products

• Research-Engineering Collaboration: Work closely with the engineering team on planning and integrating your research projects into production.

• User-Centric Research: Work closely with product and business development teams to understand the user and business needs and to translate them into research objectives.

REQUIREMENTS

Technical skills & qualifications

• Advanced degree (Ph.D. preferred) in Computer Science / Physics / Mathematics or any relevant field

• Strong background in deep learning, computer vision, generative AI and algorithms

• 5+ years of hands-on experience developing deep-learning/computer Vision algorithms

• Hands-on experience with at least one major deep learning frameworks (e.g., PyTorch)

• Strong programming skills in Python

• Creative and innovative problem-solving skills with a passion for cutting edge technologies and product delivery

• Strong team player and self-learner with excellent communication skills

• Get things done attitude

WHAT WE OFFER

• The chance to have a meaningful and positive impact on roads and cities’ safety
• Flexibility - in schedule, work location, benefits
• Competitive compensation
• A fast-paced work environment full of kind, smart, and highly driven people
• Great professional and personal growth opportunities
• Regular team-building events and well-being initiatives/facilities

WHO WE ARE

Our mission is to create the technology that will make driving and cities better and safer. Nexar-powered dash cams enable new vision-based applications for better driving. When drivers pair Nexar-powered dash cams with the Nexar app, they join a network that powers new applications for driving and seeing the world.

Using anonymous, aggregated data captured from this network, Nexar has developed a portfolio of vision-based data services for public and private sector partners to make roads safer and more efficient. For automotive companies, dash cams are a gateway to a new era of connected services and new killer apps for drivers, from finding a parking spot to vision-based services.

That’s where you get into the picture. We are looking for smart, passionate, and mission-driven people who are capable of leading company-wide efforts to help execute the huge opportunity in front of us.

Locations

Tel Aviv-Yafo (IL)

Remote status

Hybrid Remote

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