Company: Autobrains is a well-funded Israeli AI company developing automated driving products and capabilities, with headquarters at the heart of Tel Aviv. Our technology solves several key gaps on the way to full, safe, and scalable autonomous driving, by shifting from a traditional deep-learning approach to a biologically plausible self-learning AI. Our vision is backed by multiple leading automotive players, including Temasek, Toyota, BMW, Continental, Vinfast, and Knorr-Bremse.

Project: the TGT team’s task is to algorithmically generate ground truth annotations for automotive data with accuracy that surpasses that of human annotators. Our approach is to mix the latest state-of-the-art open-source models leveraging our unparalleled expertise in the automotive domain. The remaining accuracy gaps are bridged using AutoBrains’ proprietary technological stack. Our work requires us to stay on top of the most recent literature/open source and to develop an extraordinary breadth of knowledge in computer vision.

Responsibilities:

• Use a deep understanding of the state-of-the-art open-source computer vision models to build an extremely-high accuracy system for 2D/3D object detection in still images and video, semantic and instance segmentation, high-accuracy object/pixel tracking, visual odometry, and depth estimation.
• Map out the long tail of remaining accuracy gaps and close them by in-house training models and leveraging AutoBrains’ unparalleled domain expertise and proprietary technology.
• Improve the accuracy of our system further by leveraging data from additional sensors such as radar and lidar.
• Innovative research at this scale does not come from “lone wolves” - you are expected to be a team player: collaborate well with others, clearly communicate your results, and align your work with the team's goals, while maintaining your self-sufficiency.
  
  

Requirements:

• Ph.D. or M.Sc with at least 5 years of experience in a Relevant Discipline.
• A minimum of 5 years of research experience in deep learning, with a proven track record of publications in top-tier conferences and journals.
• Strong programming skills in Python and experience with deep learning frameworks.
• Experience with deploying deep learning models to production environments.
• Excellent communication and presentation skills, with the ability to explain complex concepts to both technical and non-technical audiences.
  
  

Advantage:

• Experience in the automotive industry or related fields.
• Familiarity with GPU programming and parallel computing.
  
  

Attributes:

• Technical Proficiency: Possess a solid foundation in deep learning techniques, computer vision, machine learning, and associated domains. Experience with deep learning frameworks, particularly PyTorch and its advanced frameworks, is vital. This expertise will be instrumental in driving innovative solutions and contributing to the technical robustness of our projects.
• 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.
• 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.
• Attention to detail: Ability to ensure accuracy and thoroughness in all aspects of research, including data collection, analysis, and presentation of results.
• Initiative: Proactive in taking on new challenges, seeking out opportunities to improve processes, and driving results.