mobileye

Deep Learning Algorithm Developer - SUN

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  • hybrid
  • Full time
  • R&D
  • Ramat Gan, Israel
Work arrangement
hybrid
Employment
Full time
Stated compensation
Not specified
Stated sponsorship
Not stated
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Requirements

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Remote policy
hybrid
“Provider workplace type: hybrid”
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Minimum experience (years)
2
“2+ years of experience in developing DL algorithms.”
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Employment type
Full time
8 fields not stated in this posting
Employer sponsorship
Not specified
Geographic scope
Not specified
Degree requirement
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Security clearance
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Original job description

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We are seeking a Deep Learning Algorithm Developer with strong software engineering skills. Our team is project-oriented, meaning we are assigned significant computer vision projects and solve them using novel, state-of-the-art neural networks. Projects can be initiated both bottom-up and top-down, and they are always interesting and challenging.  What will your job look like:
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The job consists of a mix of algorithmic research and algorithms development, with an emphasis on deep neural networks. You will learn and deploy state-of-the-art techniques to achieve world-class results which will allow the safe development of autonomous driving features and advanced driver assistant systems. The work is typically done in teams and the amount of team interaction varies based on the needs and the employees' tendencies and preferences. You will be solving algorithmic problems in many fields including mapping, and geometric problems by using heuristic solutions in addition to neural networks. All you need is: B.Sc. in Computer Science, Electrical Engineering, or related field. Advanced degree (M.Sc. or Ph.D) in Computer Vision, Deep Learning, or Machine Learning- advantage. 2+ years of experience in developing DL algorithms.  Python programming skills. Experience with training transformers in PyTorch.  Mobileye changes the way we drive, from preventing accidents to semi and fully autonomous vehicles. If you are an excellent, bright, hands-on person with a passion to make a difference come to lead the revolution! Mobileye changes the way we drive, from preventing accidents to semi and fully autonomous vehicles. If you are an excellent, bright, hands-on person with a passion to make a difference come to lead the revolution!
Original formatting and links
We are seeking a Deep Learning Algorithm Developer with strong software engineering skills. Our team is project-oriented, meaning we are assigned significant computer vision projects and solve them using novel, state-of-the-art neural networks. Projects can be initiated both bottom-up and top-down, and they are always interesting and challenging. 

What will your job look like:

  • The job consists of a mix of algorithmic research and algorithms development, with an emphasis on deep neural networks.
  • You will learn and deploy state-of-the-art techniques to achieve world-class results which will allow the safe development of autonomous driving features and advanced driver assistant systems.
  • The work is typically done in teams and the amount of team interaction varies based on the needs and the employees' tendencies and preferences.
  • You will be solving algorithmic problems in many fields including mapping, and geometric problems by using heuristic solutions in addition to neural networks.
  • All you need is:

  • B.Sc. in Computer Science, Electrical Engineering, or related field.
  • Advanced degree (M.Sc. or Ph.D) in Computer Vision, Deep Learning, or Machine Learning- advantage.
  • 2+ years of experience in developing DL algorithms. 
  • Python programming skills.
  • Experience with training transformers in PyTorch. 
  • Mobileye changes the way we drive, from preventing accidents to semi and fully autonomous vehicles. If you are an excellent, bright, hands-on person with a passion to make a difference come to lead the revolution! Mobileye changes the way we drive, from preventing accidents to semi and fully autonomous vehicles. If you are an excellent, bright, hands-on person with a passion to make a difference come to lead the revolution!

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