Prime Video is a firststop 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 Studiosproduced series and movies; licensed fan favorites; and programming from Prime Video addon 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 Videos technology teams are creating bestinclass digital video experience.
As a Prime Video technologist youll have endtoend ownership of the product user experience design and technology required to deliver stateoftheart experiences for our customers. Youll get to work on projects that are fastpaced challenging and varied. Youll also be able to experiment with new possibilities take risks and collaborate with remarkable people.
Well look for you to bring your diverse perspectives ideas and skillsets 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!
In Prime Video READI our mission is to automate infrastructure scaling and operational readiness. We are growing a team specialized in time series modeling forecasting and release safety. This team will invent and develop algorithms for forecasting multidimensional related time series. The team will develop forecasts on key business dimensions with optimization recommendations related to performance and efficiency opportunities across our global software environment.
As a founding member of the core team you will apply your deep coding modeling and statistical knowledge to concrete problems that have broad crossorganizational global and technology impact. Your work will focus on retrieving cleansing and preparing large scale datasets training and evaluating models and deploying them to production where we continuously monitor and evaluate. You will work on large engineering efforts that solve significantly complex problems facing global customers. You will be trusted to operate with complete independence and are often assigned to focus on areas where the business and/or architectural strategy has not yet been defined. You must be equally comfortable digging in to business requirements as you are drilling into design with development teams and developing production ready learning models. You consistently bring strong datadriven business and technical judgment to decisions.
You will work with internal and external stakeholders crossfunctional partners and endusers around the world at all levels. Our team makes a big impact because nothing is more important to us than delivering for our customers continually earning their trust and thinking long term. You are empowered to bring new technologies to your solutions. If you crave a sense of ownership this is the place to be.
3 years of building machine learning models for business application experience
PhD or Masters degree and 6 years of applied research experience
Knowledge of programming languages such as C/C Python Java or Perl
Experience programming in Java C Python or related language
Experience with neural deep learning methods and machine learning
Experience with modeling tools such as R scikitlearn 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.
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 youre applying in isnt 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 $150400/year in our lowest geographic market up to $260000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon 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.