Join our team - we’re always growing!

We are a team of creative geeks who are passionate about deep learning and computer vision. We are always looking to hire motivated and driven professionals who are inspired by learning and growing, both as an individual, and as part of our team.

Open Positions

Brodmann17 is developing a game-changing Deep Learning and Computer Vision algorithms for ADAS & Automated Driving products. 

We’re pioneering state of the art software products that achieve the best performance and accuracy, making it an ideal solution for the most demanding challenges of the automotive fast-growing market.

Work in hybrid mode from our lovely Sarona office in Tel Aviv. Join one of the most interesting AI companies and contribute to a life-saving product!

About the Job:

We are seeking a sharp and creative algorithm developer with a solid understanding in Deep Learning and Computer Vision who will join to our research group and help shape the future of our Computer Vision solution.

Main Responsibilities:

  • Extend, optimize and invent new algorithms as part of Brodmann17’s core technology
  • Our researchers develop novel Computer Vision and Deep Learning algorithms in fields such as object detection, multi-class classification models, semantic segmentation, object recognition, multi object tracking, depth sensing, and more, for ADAS solutions
  • Investigate, identify, and implement research ideas published in leading scientific publications
  • Provide input for future planning based on area of expertise and target devices.

Required:

  • Sc. in Computer Engineering/Electrical Engineering/Physics /Computer Science, a related technical field from a leading institution or equivalent experience
  • Strong background in Computer Vision, Machine Learning, and Deep Learning
  • 5+ years of experience required in Computer Vision, Machine Learning, and Deep Learning algorithms
  • Previous experience in the field of robotics/ADAS /Autonomous vehicles
  • Hands-on experience with toolkits for Deep Learning such as TensorFlow/PyTorch/Caffe/Sklearn and Computer Vision (OpenCV)
  • A team player with good communication skills
  • Highly motivated with a passion for technological innovation.

Advantage:

Ph.D. in Computer-Science / Electrical Engineering / Physics.

        

APPLY

Brodmann17 is developing game-changing Deep Learning and Computer Vision  algorithms for ADAS and Automated Driving. We’re pioneering state of the art software products that achieve the best performance and accuracy, making it an ideal solution for the most demanding challenges of the fast growing automotive market. Come and join us in one of the most interesting AI companies, contributing to a life-saving product!

 

About the Job:

We are looking for a Deep Learning applied researcher to join our algorithms team. In this position, you will develop best in class algorithms for ADAS and Autonomous Driving products. You’ll be a key member of designing, implementing and extending our algorithm solution that enables fast, continuous and flexible Deep Learning algorithms development. You will work closely with other excellent researchers to understand the needs and requirements of the research as well as keep up to date with latest developments in the field.

 

Main responsibilities:

  • Extend, optimize and invent new algorithms as part of Brodmann17’s core technology
  • Develop novel Computer Vision and Deep Learning algorithms in fields such as object detection, multi-class classification models, semantic segmentation, object recognition, object tracking, depth sensing, and more, for ADAS solutions
  • Investigate, identify, and implement research ideas published in leading scientific publications
  • Provide input for future planning based on area of expertise and target devices.

 

Required: 

  • MSc (with thesis in Machine Learning / Deep Learning) or above in Computer Science or a related field
  • 2+ years of excellence in Python coding capabilities
  • Ability to understand and implement complex algorithms
  • Strong execution and ownership orientation, through design, development, and deployment 
  • A team player with good communication skills, both written and verbal
  • Ability to work as a strong contributing member of a small R&D team.

 

 Advantage:

  • Knowledge of Computer Vision, Object Detection
  • Familiarity with toolkits for Deep Learning such as TensorFlow/PyTorch.

 

        

APPLY