Senior AI Researcher
HybridTel Aviv, Tel Aviv, Israel
Job Summary
Lead research from early ideas to working models, developing new methods for video understanding, motion prediction, and risk prediction using large-scale datasets and simulation environments. Turn real-world needs into well-defined research problems, balance long-term exploration with immediate results, and run experiments at a fast pace while analyzing failures to pivot when needed. Collaborate closely with researchers, engineers, and cross-functional teams to build solutions that work in the real world, publish findings at leading conferences, and leverage AI agents for integral research execution.
Required Qualifications
- Significant research experience in Computer Vision, Machine Learning, or a related field
- Experience in research, training and evaluation of large models
- Experience in one or more of the following: video understanding, representation learning, world models, trajectory prediction, or autonomous driving
- The ability to lead independent research together with strong hands on implementation skills
- A deeply agentic approach to work, using AI agents as an integral part of research, experimentation, analysis, and execution
- Strong proficiency in Python and PyTorch
- Experience training models and building reliable experimental pipelines
- The judgment to choose the right solution even when the problem, timeline, and constraints are not perfect
- Curiosity, depth, pragmatism, and a strong desire to see research create impact beyond the lab
Desired Qualifications
- A PhD in a relevant field
- Publications at conferences such as CVPR, ICCV, ECCV, NeurIPS, ICLR, or ICML
- Experience with simulation, closed loop evaluation, retrieval, or distributed training
- Experience turning research ideas into systems used in practice
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