Mobileye

Senior Deep Learning Research Engineer – Lane Detection

Mobileye

full-time

Posted on:

Location Type: Hybrid

Location: Jerusalem • Israel

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Job Level

Senior

Tech Stack

AWSCloudPyTorchTensorflow

About the role

  • Conduct hands-on research and development of deep learning algorithms for road understanding, drivable area detection, and scene structure modeling
  • Lead exploratory investigations into new architectures, training strategies, and data utilization methods
  • Join forces with other developers to troubleshoot difficult problems, introduce new ideas, and guide technical decisions
  • Own projects end-to-end — from concept and experimentation to integration and scalable deployment

Requirements

  • B.Sc. or M.Sc. in Computer Science, Electrical Engineering, or a related field
  • 5+ years of hands-on experience in Machine Learning / Deep Learning research and development
  • Strong proficiency with PyTorch or TensorFlow and practical experience building and optimizing deep neural networks
  • Experience working with cloud environments (e.g., AWS) - including data handling, distributed training, or running large-scale batch jobs
  • Proven ability to work both independently and collaboratively, supporting others and leading technical investigations
  • Excellent analytical skills, creativity, and a drive to push the limits of applied research.
Benefits
  • Flexibility to work part-time from our other sites, subject to seat availability.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
deep learning algorithmsmachine learningPyTorchTensorFlowdeep neural networksdata handlingdistributed traininglarge-scale batch jobs
Soft skills
analytical skillscreativityindependent workcollaborative workleadershipproblem-solving
Certifications
B.Sc. in Computer ScienceM.Sc. in Computer ScienceB.Sc. in Electrical EngineeringM.Sc. in Electrical Engineering