Sr. Applied Scientist, Prime Video Sports

* MS or PhD machine learning, or related discipline.

* Strong experience in building production grade deep learning models for recommendation systems, or related fields.

* Excellent coding and design skills, and proficiency with programming languages such as C/C++, Java, or Python.

* Strong Machine Learning background · Proven track record in technically leading and mentoring scientists.

Come build the future of entertainment with us. Are you interested in shaping the future of movies and television? Do you want to help define the next generation of how and what Amazon customers are watching?

Prime Video is a premium streaming service that offers customers a vast collection of TV shows and movies - all with the ease of finding what they love to watch in one place. We offer customers thousands of popular movies and TV shows including Amazon Originals and exclusive licensed content to exciting live sports events. We also offer our members the opportunity to subscribe to add-on channels which they can cancel at anytime and to rent or buy new release movies and TV box sets on the Prime Video Store. Prime Video is a fast-paced, growth business - available in over 240 countries and territories worldwide. The team works in a dynamic environment where innovating on behalf of our customers is at the heart of everything we do. If this sounds exciting to you, please read on.

We are looking for a Sr. Applied Scientist to join our Prime Video Sports tech team in Israel. 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.

Key job responsibilities
We are looking for a Sr. 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.

About the team
In September 2018 Prime Video launched its first full-scale live streaming experience to world-wide Prime customers with NFL Thursday Night Football. That was just the start. Now Amazon has exclusive broadcasting rights to major leagues like NFL Thursday Night Football, Tennis majors like Roland-Garros, and English Premium League to list a few and are broadcasting live events across 30+ sports world-wide. Prime Video is expanding not just the breadth of live content it offers, but the depth of the experience. It's a transformative opportunity, and chance to be at the vanguard of a program that will revolutionize live streaming experience.

We are open to hiring candidates to work out of one of the following locations:

Tel Aviv, ISR

* Significant peer-reviewed scientific contributions in premier journals and conferences

* Strong CS fundamentals in data structures, problem solving, algorithm design and complexity analysis

* 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

* Served as Program Committee member in at least one top tier conference