Jobs · Analyst · Washington

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

Prime Video & Amazon MGM Studios · Seattle, WA · Yesterday
AnalystFull-time

About the role

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.

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.

Requirements

  • 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

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.

Skills

  • Self-motivated, passionate and resourceful
  • Hands-on machine learning practitioner and a research leader
  • Build and guide machine learning models from the ground up

Benefits

Amazon offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

Pay

Base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs).

  • USA, CA, Sunnyvale - 192,200.00 - 260,000.00 USD annually
  • USA, NY, New York - 183,800.00 - 248,700.00 USD annually
  • USA, WA, Seattle - 167,100.00 - 226,100.00 USD annually

Schedule

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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information.

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