
Senior Deep Learning Research Engineer – Lane Detection
Mobileye
full-time
Posted on:
Location Type: Hybrid
Location: Ramat Gan • Israel
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Job Level
Tech Stack
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 jobsresearch and developmentscalable deployment
Soft skills
analytical skillscreativityindependent workcollaborative workleadershipproblem-solvingtechnical decision-makingproject ownershipexploratory investigationdrive for applied research
Certifications
B.Sc. in Computer ScienceM.Sc. in Computer ScienceB.Sc. in Electrical EngineeringM.Sc. in Electrical Engineering