Algorithm Team Lead
Join our innovative team at Mobileye, where you will lead a talented Deep Learning R&D team developing advanced neural networks that are essential for Mobileye’s key products.
In this role, you will lead a team responsible for developing real-time vision models that power the vehicle’s understanding of its environment. The team combines research, hands-on development, model training, data analysis, optimization, and product-grade delivery for autonomous driving technologies and advanced driver-assistance systems.
As a Deep Learning R&D Team Lead, you will be responsible for both the technical and managerial leadership of the team. You will guide the full development cycle of deep learning solutions - from understanding the problem and data, through modeling and training, to performance improvement, validation, and delivery into production systems.
What will your job look like?
- Lead a small and highly capable Deep Learning R&D team working on real-time computer vision models for Mobileye’s products.
- Provide technical leadership across the full deep learning development cycle, including data understanding, model design, training, evaluation, optimization, and production readiness.
- Drive goal-oriented research and development, balancing innovation with practical product needs, timelines, and delivery quality.
- Mentor, support, and develop team members, while creating a strong professional environment that encourages ownership, creativity, and continuous improvement.
- Break down complex and ambiguous problems into clear work plans, priorities, milestones, and execution steps.
- Collaborate closely with cross-functional teams to understand requirements, align expectations, and deliver effective solutions.
- Improve existing models and development flows to enhance accuracy, robustness, runtime performance, scalability, and product impact.
- Stay up to date with the latest advancements in deep learning, computer vision, AI architectures, and AI-based development tools, and apply relevant ideas to improve the team’s work.
All you need is:
- M.Sc. or outstanding B.Sc. in Computer Science, Mathematics, Physics, Engineering, or a related field.
- Leadership experience, management experience, or significant technical experience combined with strong potential and motivation to grow into a management role.
- Strong professional background in Computer Vision and Deep Learning.
- Hands-on experience developing deep learning algorithms using Python frameworks such as PyTorch or TensorFlow.
- Strong understanding of model training, data analysis and performance improvement.
- Strong problem-solving skills, creativity, independence, and the ability to handle complex problems where the solution is not always clear in advance.
- Ability to work in a structured way - define priorities, break down problems, plan execution, and drive tasks to completion.
Nice to have:
- Experience with real-time, production-grade, or product-oriented deep learning systems.