- 経験
- 3年以上
- 給料
- —
- 求人情報
- 1
- 投稿済み
- 3週間前
- 作業モード
- 在任中
- 教育
- M.Sc. in Computer Science / Electrical Engineering
- 資格
- Candidates who meet the educational and experience requirements and can work full time onsite at the Tel Aviv headquarters are eligible to apply.
- 再開する
- 応募必須
勤務地
仕事内容
About the Role
You will join the World Modeling team working on a breakthrough system that fuses aerial imagery with live ground-level views to create a detailed and accurate understanding of a vehicle’s surroundings. The role focuses on advancing AI-driven, cloud-defined vehicle technology by transforming ambitious research ideas into practical deep learning solutions.
What You’ll Do
- Investigate, build, and refine advanced computer vision models such as detectors, segmentation systems, transformers, and self-supervised learning methods.
- Convert research outcomes into deployable algorithms, producing clean, efficient, and scalable PyTorch code.
- Prototype new approaches, test inventive model designs, and keep improving performance beyond current state-of-the-art results.
- Own projects throughout the full lifecycle, from initial concept and experimentation to production deployment.
What We’re Looking For
- A master’s degree in Computer Science or Electrical Engineering from a strong university; a PhD is considered an advantage.
- At least 3 years of practical experience in deep learning and computer vision using Python.
- Demonstrated ability to train and deploy neural networks with strong performance and efficiency.
- Availability to work full time from the Tel Aviv headquarters.
Additional Advantages
- Evidence of publishing research papers in leading deep learning or computer vision conferences or journals.
- Background in classical computer vision techniques such as homography, PnP, and feature matching.
- Experience creating optimized real-time software for edge hardware.