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

Overview

Sr. Applied Scientist, Prime Video - Personalization and Discovery Science | Job ID: 3083564 | Amazon.com Services LLC

Prime Video is a first-stop entertainment destination offering customers a vast collection of premium programming in one app 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. All customers can rent or buy titles via the Prime Video Store, and can enjoy 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 experiences. As a Prime Video technologist, you’ll own the product, user experience, design, and technology required to deliver state-of-the-art experiences. You’ll work on fast-paced, challenging, and varied projects, experiment with new possibilities, take risks, and collaborate with remarkable people.

We’re looking for a self-motivated, passionate and resourceful Applied Scientist to bring diverse perspectives to make Prime Video even better for our customers. You will be a hands-on machine learning practitioner and a research leader, building and guiding machine learning models from the ground up and delivering impact to millions of Amazon 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 research findings in top conferences and journals.

About the team Prime Video Search Science owns science solutions to power search experiences on various devices, including sourcing, relevance, and ranking. We work closely with engineering teams to launch 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 applications
• Experience programming in Java, C++, Python or related languages
• 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 include working safely and cooperatively with others, adhering to standards of excellence under stress, communicating effectively to ensure exceptional customer service, and following all laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the duties. We will consider qualified applicants with arrest and conviction records pursuant to the Los Angeles County Fair Chance Ordinance.

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, visit https://amazon.jobs/content/en/how-we-hire/accommodations 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 market location and may vary with job-related knowledge, skills, and experience. Amazon is a total compensation company. Depending on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total package. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.

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