We are looking for an Applied Scientist to embark on our journey to build a Prime Video Sports tech team in Israel from ground up. Our team will focus on developing products to allow for personalizing the customers experience and providing them real-time insights and revolutionary experiences using Computer Vision (CV) and Machine Learning (ML). You will get a chance to work on greenfield, cutting-edge and large-scale engineering and science projects, and a rare opportunity to be one of the founders of the Israel Prime Video Sports tech team in Israel.
We are looking for an Applied Scientist with domain expertise in Computer Vision or Recommendation Systems to lead development of new algorithms and E2E solutions. You will be part of a team of applied scientists and software development engineers responsible for research, design, development and deployment of algorithms into production pipelines. As a technologist, you will also drive publications of original work in top-tier conferences in Computer Vision and Machine Learning. You will be expected to deal with ambiguity! We're looking for someone with outstanding analytical abilities and someone comfortable working with cross-functional teams and systems. You must be a self-starter and be able to learn on the go.
Requirements: BASIC QUALIFICATIONS:
- Master's degree in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field.
- Experience programming with at least one modern language such as Java, C++, or C# including object-oriented design.
PREFERRED QUALIFICATIONS:
- PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field.
- Significant peer-reviewed scientific contributions in premier journals and conferences.
- Experience in building production grade deep learning models for computer vision, recommendation systems, or related fields.
- Experience with defining research and development practices in an applied environment.
- Solid knowledge of big data and cloud technologies (e.g., Spark, AWS, etc.).
- Scientific thinking and the ability to invent, a track record of thought leadership and contributions that have advanced the field.
- Track record in creating novel algorithms and advancing the state of the art Technical writing, verbal communication, and cross discipline collaboration skills.
- Background in classical CV algorithms is a plus.
This position is open to all candidates.