Sr. Deep Learning Engineer, Object Detection [Israel]


 

We are looking for a capable and experienced Sr. Deep Learning Engineer to join our R&D team.

The engineer will work on devising, developing, and integrating novel deep vision-based algorithms at the heart of our autonomous driving system.

This is an opportunity to work on cutting-edge deep vision methods, develop and innovate new ideas, and see them deployed on the road in our autonomous vehicles.

Responsibilities:

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    Designing, training, and optimizing novel computer vision algorithms
  • Taking an End-to End responsibility over medium to long-term projects
  • Seeing projects through from research to deployment
  • Devising and implementing performance metrics
  • Supervising complex data pipelines, from the collection stage, through annotation, to training models
  • Communicating, presenting and visualizing results
  • Aligning the algorithms with the product’s needs

Requirements:
  • M.Sc. or equivalent work track experience in CS, EE, Physics, or other quantitative field from a leading university. Ph.D. - Advantage
  • A proven track record of at least 5 years hands-on experience in developing deep learning algorithms
  • Experience / knowledge in computer vision and image manipulation algorithms, object detection and tracking
  • In-depth, hands-on knowledge of deep learning fundamentals
  • Hands-on experience with deep learning frameworks such as PyTorch - Must
  • Strong mathematical aptitude, with emphasis on probability, vector algebra, and geometry
  • Proficiency in Python programming
  • Experience in conducting long-term development and/or research projects, in either academia or industry
  • Proficiency in English, both written and spoken
  • Availability for a full-time position from Imagry’s office HQ in Haifa

Skills that are considered an advantage:

  • Experience in segmentation
  • Publications in top-tier journals or conferences on algorithms, computer vision, or deep learning
  • Basic proficiency in C++
  • Experience with Linux
  • Source control with git

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