Senior Applied Scientist, Prime Video - Personalization and Discovery Science Jo

Senior Applied Scientist, Prime Video - Personalization and Discovery Science

Prime Video is a first-stop entertainment destination offering customers a vast collection of premium programming in one app available across thousands of devices. Prime members can customize their viewing experience and find their favorite movies, series, documentaries, and live sports – including Amazon MGM Studios-produced series and movies; licensed fan favorites; and programming from Prime Video add-on subscriptions such as Apple TV+, Max, Crunchyroll and MGM+. All customers, regardless of whether they have a Prime membership or not, can rent or buy titles via the Prime Video Store, and can enjoy even more content for free with ads.

Are you interested in shaping the future of entertainment? Prime Video's technology teams are creating best-in-class digital video experience.

As a Prime Video technologist, you’ll have end-to-end ownership of the product, user experience, design, and technology required to deliver state-of-the-art experiences for our customers. You’ll get to work on projects that are fast-paced, challenging, and varied. You’ll also be able to experiment with new possibilities, take risks, and collaborate with remarkable people.

We are looking for a self-motivated, passionate and resourceful Applied Scientist to bring diverse perspectives, ideas, and skill-sets to make Prime Video even better for our customers. You will spend your time as a hands-on machine learning practitioner and a research leader. You will play a key role on the team, building and guiding machine learning models from the ground up. At the end of the day, you will have the reward of seeing your contributions benefit millions of Amazon.com customers worldwide.

Key job responsibilities

1. Develop AI solutions for various Prime Video Search systems using Deep learning, GenAI, Reinforcement Learning, and optimization methods;
2. Understand problem space, identify gaps and opportunity for improvement, create roadmap and plans for delivering business goals;
3. Lead cross-team collaboration and work closely with engineers and product managers to deliver AI solutions end-to-end;
4. Design and conduct offline and online (A/B) experiments to evaluate proposed solutions based on in-depth data analyses;
5. Effectively communicate technical and non-technical ideas with teammates and stakeholders;
6. Stay up-to-date with advancements and the latest modeling techniques in the field;
7. Mentor and grow junior scientists and interns;
8. Publish your research findings in top conferences and journals.

About the team

Prime Video Personalization and Discovery science team owns different aspects of personalization algorithms, from user-item relevance, item-item relevance, and page composition, to name a few. We work closely with the engineering teams to put our models in production.

BASIC QUALIFICATIONS

1. PhD, or Master's degree and 6+ years of applied research experience
2. 3+ years of building machine learning models for business application experience
3. Experience programming in Java, C++, Python or related language
4. Experience with neural deep learning methods and machine learning

PREFERRED QUALIFICATIONS

1. Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
2. Experience with large scale distributed systems such as Hadoop, Spark etc.
3. Track record of delivering machine learning and deep learning solutions end-to-end and cross-team collaborations

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

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