Applied Scientist , Prime Video - Personalization and Discovery Science
Job Description
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 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 teamPrime Video Recommendation Science team owns science solution to power recommendation experience. Our work encompasses multi-objective optimization, retrieval and ranking. We work closely with the engineering teams and product to identify opportunities and launch our solutions in production.
Locations
- United States, CA, Sunnyvale, Sunnyvale, CA, United States
Salary
Salary not disclosed
Estimated Salary Rangehigh confidence
180,000 - 320,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experienceintermediate
- - 3+ years of building models for business application experienceintermediate
- - Experience programming in Java, C++, Python or related languageintermediate
Required Qualifications
- - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience (experience, 4 years)
- - 3+ years of building models for business application experience (experience, 3 years)
- - Experience programming in Java, C++, Python or related language (experience)
Preferred Qualifications
- - PhD in computer science, machine learning, engineering, or related fields (degree in computer science)
- - Experience in several of the following areas: machine learning, statistics, deep learning, natural language processing, or information retrieval (experience)
- 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. (experience)
- Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $223,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending 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 https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site. (experience)
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 Recommendation Science team owns science solution to power recommendation experience. Our work encompasses multi-objective optimization, retrieval and ranking. We work closely with the engineering teams and product to identify opportunities and launch our solutions in production.
