Sr. Applied Scientist, Prime Video - Recommendation/Search

Sr. Applied Scientist, Prime Video - Recommendation/Search

Join to apply for the Sr. Applied Scientist, Prime Video - Recommendation/Search role at Prime Video & Amazon MGM Studios

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, youll have end-to-end ownership of the product, user experience, design, and technology required to deliver state-of-the-art experiences for our customers.

Youll get to work on projects that are fast-paced, challenging, and varied.

Youll also be able to experiment with new possibilities, take risks, and collaborate with remarkable people.

Well look for you to bring your diverse perspectives, ideas, and skill-sets to make Prime Video even better for our customers.

With global opportunities for talented technologists, you can decide where a career Prime Video Tech takes you!

We are looking for a self-motivated, passionate and resourceful Sr. Applied Scientist with Recommender System or Search Ranking or Ads Ranking experience 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

• Develop AI solutions for various Prime Video Recommendation/Search systems using Deep learning, GenAI, Reinforcement Learning, and optimization methods;
• Work closely with engineers and product managers to design, implement and launch AI solutions end-to-end;
• Design and conduct offline and online (A/B) experiments to evaluate proposed solutions based on in-depth data analyses;
• Effectively communicate technical and non-technical ideas with teammates and stakeholders;
• Stay up-to-date with advancements and the latest modeling techniques in the field;
• Publish your research findings in top conferences and journals.
  
  

About The Team

Prime Video Recommendation/Search Science team owns science solution to power search experience on various devices, from sourcing, relevance, ranking, to name a few.

We work closely with the engineering teams to launch our solutions in production.

Basic Qualifications

• PhD, or Masters degree and 6+ years of applied research experience
• 5+ years of building machine learning models for business application experience
• Experience programming in Java, C++, Python or related language
• Experience with neural deep learning methods and machine learning

Preferred Qualifications

• Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, TensorFlow, numpy, scipy etc.
  
  
• Experience with large scale distributed systems such as Hadoop, Spark etc.
  
  

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Company - Amazon.com Services LLC

Job ID: A3068483

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Research, Science, and Engineering

Industries

• Entertainment Providers

Our inclusive culture empowers Amazonians to deliver the best results for our customers.

If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information.