Senior Deep Learning Researcher at Mobileye

Ramat Gan, Tel-Aviv District, Israel -

Full Time

Start Date

Immediate

Expiry Date

23 May, 26

Salary

0.0

Posted On

22 Feb, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Deep Learning, Neural Networks, Python, TensorFlow, PyTorch, Model Optimization, Architecture Design, Training Techniques, Performance Tuning, Cloud Platforms, AWS, Docker, Linux, Neural Architecture Search, Knowledge Distillation, Multi-task Learning

Industry

Motor Vehicle Manufacturing

Description

Mobileye is a pioneering force in the autonomous vehicles (AV) industry. Join us to build the brain behind the car — a large-scale, multi-task neural network that powers the core of Mobileye’s autonomous stack. You’ll design and train cutting-edge deep learning models tailored for our custom EyeQ chip, tackling end-to-end challenges and deploying real-world solutions. From novel architectures and advanced training techniques to performance tuning under tight constraints, you’ll work closely with software and hardware teams to turn research into high-impact, production-ready systems. If you’re a brilliant, hands-on researcher with a passion for shaping the future — this is your launchpad. \n Why us? Our team is at the forefront of Mobileye’s most advanced AI efforts. As a central hub for deep learning innovation, we’re trusted with designing the core neural network architecture that powers the company’s flagship products. If you’re seeking a high-impact role among top-tier researchers and developers — this is the place to be. All you need is: PhD in Computer Science or a related discipline (exceptional MSc candidates will be considered). 4+ years of hands-on experience developing deep learning algorithms in Python. Experience building end-to-end DL pipelines: data preparation, training, evaluation, and deployment. Proficiency in at least one deep learning framework (e.g., TensorFlow, PyTorch). Excellent problem-solving skills and a research-oriented mindset. Advantages: Industry experience in DL or software development. Familiarity with hardware-aware model optimization. Experience with cloud platforms (e.g., AWS), Docker, and Linux environments. Publications or contributions in the fields of deep learning, neural architecture search, knowledge distillation or multi-task learning. \n 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!

Responsibilities

The role involves designing and training cutting-edge, large-scale, multi-task neural networks tailored for custom hardware (EyeQ chip) to power the core autonomous vehicle stack. This includes developing novel architectures, applying advanced training techniques, and tuning performance under tight constraints for production deployment.