Deep Learning Tech Lead

Posted 8 Days Ago
Be an Early Applicant
Hiring Remotely in Jerusalem, ISR
Remote or Hybrid
Mid level
Automotive • Automation
Mobileye is leading the mobility revolution with its autonomous-driving and driver-assist technologies.
The Role
Lead end-to-end deep learning R&D for computer vision object modeling. Design, implement, and improve algorithms; research new architectures; own projects; collaborate cross-functionally; and mentor algorithm developers to deliver robust AI solutions for autonomous driving and ADAS.
Summary Generated by Built In
We are looking for a Deep Learning Tech Lead for Objects Modeling, who will be challenged by solving real-world problems using Computer Vision. Our mission in the algorithms department has a significant impact on autonomous vehicle technologies, external customers, and advanced driver-assistance systems (ADAS). In this role, you will be responsible for the full cycle of deep learning R&D, including modeling new solutions and enhancing the performance of existing ones. Your responsibility will include design, implementation, guidance and mentoring for team members. You will leverage your extensive experience to lead multiple deep projects, and will be a key figure in leading successful execution and in finding creative solutions to difficult bottlenecks, across data, AI, engineering and product considerations. 
 
** This role offers the flexibility to work part-time from our other sites, subject to seat availability.

What will your job look like:

  • Lead the design, development, and implementation of accurate and robust AI algorithms for new projects
  • Research the latest advancements in deep learning, multi-task learning, AI architectures, and apply them to enhance our algorithm
  • Design, develop and implement deep learning algorithms to solve complex problems in computer vision
  • Take ownership of deep learning projects: Design solutions, oversee execution, and collaborate with talented Algorithm developers
  • Collaborate with cross-functional teams to understand requirements and develop solutions

All you need is:

  • Advanced degree (M.Sc. or Ph.D) in Computer Vision, Deep Learning, or Machine Learning
  • 3+ years of experience in developing deep learning algorithms
  • Knowledge of C++
  • Experience with deep learning frameworks such as TensorFlow, Keras, and PyTorch
  • Hands-on experience working with LLMs (e.g., for data generation, augmentation, or labeling) - Advantage

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!

Skills Required

  • Advanced degree (M.Sc. or Ph.D.) in Computer Vision, Deep Learning, or Machine Learning
  • 3+ years of experience in developing deep learning algorithms
  • Knowledge of C++
  • Experience with deep learning frameworks such as TensorFlow, Keras, and PyTorch
  • Hands-on experience working with LLMs (e.g., for data generation, augmentation, or labeling)
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The Company
HQ: Jerusalem
3,700 Employees

What We Do

Mobileye is leading the mobility revolution with its autonomous-driving and driver-assistance technologies, harnessing world-renowned expertise in computer vision, machine learning, mapping, and data analysis. Founded in 1999, Mobileye has pioneered such groundbreaking technologies as REM™ crowdsourced mapping, True Redundancy™ sensing, and the RSS™ safety model. These technologies are driving the ADAS and AV fields towards the future of mobility – enabling self-driving vehicles and mobility solutions, powering industry-leading advanced driver-assistance systems and delivering valuable intelligence to optimize mobility infrastructure. Mobileye technology is used in over 170 million vehicles worldwide. In 2022, Mobileye became an independent company while still being majority-owned by Intel. Mobileye’s headquarters and R&D center are based in Jerusalem, with additional offices across Israel and around the world.

Why Work With Us

Our technology enables self-driving vehicles and mobility solutions, powers industry-leading advanced driver assistance systems, and delivers valuable intelligence to optimize mobility infrastructure.

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