NextRaise Logo
NextRaise
JobsDiscover rolesJob TrackerTrack applied positionsMy ResumesBuild & optimize resumes
Tools
Job Match AnalyzerPaste JD, get fit scoreATS ScoreScan for ATS issues
Chrome Extension
ResumesJobsProfile
Jobs / Machine Learning Engineer in United States of America
12 hours agoBe an early applicant
Amazon·E-commerce·12 hours ago
12 hours agoBe an early applicant

Applied Scientist , Prime Video Personalization and Discovery

Seattle, United States of AmericaFull-timeOn-siteMid · 3+ years

Sign up free to see how well your resume matches this role.

About this 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.

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’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 Personalization 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 Personalization and Discovery team owns science solution to power personalized experience on various devices, from sourcing, relevance, ranking, to name a few. We work closely with the engineering and product teams to launch our solutions in production.

Basic Qualifications

- 3+ years of building models for business application experience
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- Experience programming in Java, C++, Python or related language
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing

Preferred Qualifications

- Experience using Unix/Linux
- Experience in professional software development

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 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.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also 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.



USA, CA, Sunnyvale - 171,600.00 - 222,200.00 USD annually
USA, WA, SEATTLE - 142,800.00 - 193,200.00 USD annually
E-commerceH1B sponsor likely
AI tools
Apply faster with autofillThe NextRaise extension autofills your application in one click.Get the extension

Similar jobs

  • Senior Product Counsel - Data Products, Machine Learning & Artificial Intelligence @ Abridge AI at jobs-page-4dc2685b-eb82-46d1-a3f9-1f0764dba814San Francisco or New York, United States of America
  • Senior AI/ML Engineer at sareptaCambridge, United States of America
  • Sr. Applied Scientist, International Emerging Stores Payments at AmazonSeattle, United States of America
  • ML Engineer, I - MLOps Framework at torcroboticsRemote - US
  • Senior Staff Machine Learning Systems Engineer, Ads ML Platform at RedditRemote - United States
  • Staff Machine Learning Engineer, Emergency Trajectory Models at WayveSunnyvale, United States of America