VetJobs - The Leading Military Job Board

Description

The Prime Video Persona team is at the intersection of high volume distributed systems and machine learning. The team represents the critical piece of the customer understanding pillar of Prime Video upon which all storefront personalization is based. The team focuses on deriving and vending human understandable customer attributes based on ML models and heuristic algorithms (genre affinities, language preferences, etc.). We partner closely with our Applied Scientists on ML research, model evaluation and implementation. We then vend these attributes to personalization teams both inside and outside of Prime Video via our online systems at 50k+ TPS. This is an opportunity to become an expert in ML, while also owning a tier 1 scale system that literally impacts the experience of over 100MM people every month.

Prime Video offers customers a vast collection of movies, series, and sports—all available to watch on hundreds of compatible devices. U.S. Prime members can also subscribe to 100+ channels including Max, discovery+, Paramount+ with SHOWTIME, BET+, MGM+, ViX+, PBS KIDS, NBA League Pass, MLB.TV, and STARZ with no extra apps to download, and no cable required. More than 200 million Prime members in 25 countries around the world enjoy access to Amazon’s enormous selection, exceptional value, and fast delivery.

The Persona team is part of the Prime Video Personalization and Discovery org, who's mission is to show a customer the right video content, in the right place, at the right time. We tailor PV for a diverse and global audience, so customers world-wide with different tastes and backgrounds can find something to watch and enjoy on every visit. We delight Prime subscribers by leaning in to the Amazon originals and exclusives that shape our brand and differentiate us. We grow our relationships with customers by leveraging our deep understanding of them to provide relevant and timely recommendations. We believe the current customer experience is only scratching the surface of innovative experiences that are made possible as viewing continues to shift online, and that science is at the center of delivering a step-function change for our CX.

Key job responsibilities

As a SDE on the Prime Video Persona team, you will work on machine learning and big-data engineering challenges as well as core engineering problems such as delivering reliable low-latency services, building a global solution and scaling to millions of Prime Video customers worldwide. We require thinking big architecturally and product-wise to help drive innovation in our space, while also being able to act quickly to prove out ideas via PoCs and learning experiments. We require a high operational bar and we we never compromise efforts on OE.

We are open to hiring candidates to work out of one of the following locations:

Seattle, WA, USA

Basic Qualifications

• 3+ years of non-internship professional software development experience

• 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience

• Experience programming with at least one software programming language

• Experience in machine learning, data mining, information retrieval, statistics or natural language processing

Preferred Qualifications

• 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience

• Bachelor's degree in computer science or equivalent

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $115,000/year in our lowest geographic market up to $223,600/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.