Sr Deep Learning And Computer Vision Engineer
Posted on :
05-04-2024
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Job Description
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 visionbased algorithms at the heart of our autonomous driving system.
This is an opportunity to work on cuttingedge deep vision methods develop and innovate new ideas and see them deployed on the road in our autonomous vehicles.
Responsibilities:
- Designing training and optimizing novel computer vision algorithms
- Taking an Endto End responsibility over medium to longterm 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 handson experience in developing deep learning algorithms
- Experience / knowledge in computer vision and image manipulation algorithms segmentation / object detection / tracking
- Indepth handson knowledge of deep learning fundamentals
- Handson 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 longterm development and/or research projects in either academia or industry
- Proficiency in English both written and spoken
- Availability for a fulltime position from Imagry s office HQ in Haifa
Skills that are considered an advantage:
- Publications in toptier journals or conferences on algorithms computer vision or deep learning
- Basic proficiency in C
- Experience with Linux
- Source control with git
Remote Work :
Yes
Employment Type :
Fulltime
Employment Type
Full-time
Key Skills
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