Senior Deep Learning Algorithm Developer

Autobrains redefines AI to solve several key gaps on the way to full, safe, and scalable autonomous driving. Our technology is protected by over 250 patents and backed by top investors and key players in the automotive industry, such as Toyota, BMW, and Continental, with headquarters at the heart of Tel Aviv.

If you strive for intellectual challenges, working with brilliant people in an amazing environment, and professional and personal development - your place is with us!

RESPONSIBILITIES

As part of the algorithm team for the next generation of autonomous driving, you will:

• Understand deeply, implement, train, and evaluate recent state-of-the-art algorithms in computer vision (e.g. object detection, semantic segmentation, self-supervised learning, network pruning).
• Adapt deep learning algorithms into robust and scalable production-ready algorithms. This includes writing clean and efficient code, ensuring compatibility with existing systems and frameworks and real-time needs, and addressing any technical challenges that arise during the implementation process.
• Develop and implement new computer vision algorithms (architectures, loss functions, post-processing, training, and evaluation methods) that surpass SOTA algorithms and achieve desired performance levels in our domain.
• Take full responsibility for your algorithms end-to-end until deployment on the edge device for production.

REQUIREMENTS

• M.Sc in Computer Science / Electrical Engineering from top-notch universities. Ph.d - Advantage.
• At least 6 years of hands-on experience in deep learning, computer vision, and machine learning, using Pytorch or TensorFlow.
• Experienced in writing highly optimized, scalable, and reliable code.
• Availability for a full-time on-site position from our office HQ in Tel Aviv.

ATTRIBUTES

• Research skills: Ability to conduct independent research, stay up-to-date with the latest advancements in deep learning, and contribute to the development of new algorithms and models.
• Advantage: Publications in top-tier journals or conferences on computer vision or deep learning.
• Team player: Collaborate with others, clearly communicate your results, and align your work with the team's goals, while maintaining your self-sufficiency.
• Problem-solving skills: Ability to identify problems, evaluate alternatives, and implement effective solutions.
• Adaptability: Openness to learning new techniques, adapting to changing requirements, and embracing new technologies.
• Initiative: Proactive in taking on new challenges, seeking out opportunities to improve processes, and driving results.
• First principle thinker.