Sr. Applied Scientist, Prime Video - Personalization and Discovery Science

Sr. Applied Scientist, Prime Video - Personalization and Discovery Science

Join to apply for the Sr. Applied Scientist, Prime Video - Personalization and Discovery Science role at Prime Video & Amazon MGM Studios

Prime Video is a first-stop entertainment destination offering customers a vast collection of premium programming
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
We’ll 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 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

• Develop AI solutions for various Prime Video 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 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 Master's 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

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records

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. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary based on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit This position will remain posted until filled. Applicants should apply via our internal or external career site

Company - Amazon.com Services LLC

Job ID: A

Referrals increase your chances of interviewing at Prime Video & Amazon MGM Studios by 2x

Seniority level - Mid-Senior level

Employment type - Full-time

Job function - Research, Science, and Engineering

Industries - Entertainment Providers

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