Experienced Deep Learning Algorithm Developer
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- Work arrangement
- hybrid
- Employment
- Full time
- Stated compensation
- Not specified
- Stated sponsorship
- Not stated
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Requirements
2 with evidence7 unclear or unstated- Remote policy
- hybrid
“Provider workplace type: hybrid”
From employer posting metadata - Minimum experience (years)
- 4
“4+ years of hands-on experience developing deep learning algorithms, preferably in computer vision or perception for autonomous driving systems.”
See matched passage in original description ↓ - Employment type
- Full time
8 fields not stated in this posting
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- Geographic scope
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Original job description
Reading view uses normalized posting text so exact evidence excerpts can be highlighted.
The road algorithm team is responsible for the critical and challenging task of detecting the drivable lanes on the road. We focus on Deep Learning algorithms, classical Computer Vision and Geometric Modeling algorithms.
We are looking for an Algorithm Developer to help us advance our technology and push the boundaries of what's possible in autonomous driving.
What will your job look like:
Show less description
Research and develop state-of-the-art computer vision and deep learning algorithms for ADAS and autonomous driving.
Participate in the entire development cycle, from initial research and prototyping to deployment on real-time embedded systems within the vehicle.
Collaborate with engineering and research teams in Computer Vision, Machine Learning, and Data Engineering to solve real-life problems.
Analyze large datasets to improve algorithm performance and robustness.
All you need is:
B.Sc. or M.Sc. in Computer Science or Engineering, with excellent academic performance.
4+ years of hands-on experience developing deep learning algorithms, preferably in computer vision or perception for autonomous driving systems.
Solid understanding of data structures, algorithms, and deep learning principles.
Hands-on experience in algorithm development.
Strong problem-solving skills and the ability to work independently and as part of a team.
Nice to have:
Experience with TensorFlow or PyTorch.
Familiarity with cloud platforms and tools (e.g., AWS, GCP).
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
The road algorithm team is responsible for the critical and challenging task of detecting the drivable lanes on the road. We focus on Deep Learning algorithms, classical Computer Vision and Geometric Modeling algorithms.
We are looking for an Algorithm Developer to help us advance our technology and push the boundaries of what's possible in autonomous driving.
Research and develop state-of-the-art computer vision and deep learning algorithms for ADAS and autonomous driving.
Participate in the entire development cycle, from initial research and prototyping to deployment on real-time embedded systems within the vehicle.
Collaborate with engineering and research teams in Computer Vision, Machine Learning, and Data Engineering to solve real-life problems.
Analyze large datasets to improve algorithm performance and robustness.
B.Sc. or M.Sc. in Computer Science or Engineering, with excellent academic performance.
4+ years of hands-on experience developing deep learning algorithms, preferably in computer vision or perception for autonomous driving systems.
Solid understanding of data structures, algorithms, and deep learning principles.
Hands-on experience in algorithm development.
Strong problem-solving skills and the ability to work independently and as part of a team.
Experience with TensorFlow or PyTorch.
Familiarity with cloud platforms and tools (e.g., AWS, GCP).
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!
What will your job look like:
All you need is:
Nice to have:
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