Senior SDE, Prime Video Personalization & Discovery

Amazon

SEATTLE, WA

JOB DETAILS
SKILLS
Apple, Best Practices, Big Data, Business Operations, Code Reviews, Coding Standards, Communication Skills, Computer Science, Concrete, Corporate Policies, Customer Experience, Customer Support/Service, Data Management, Data Processing, Data Sets, Design Patterns Programming Methodologies, Digital Video, Distributed Computing, Documentaries, Federal Laws and Regulations, Film, High Availability, Large-Scale Systems, Machine Learning, Mentoring, Modeling Languages, Operational Strategy, Product Engineering, Programming Languages, Rentals, Requirements Management, Software Development, Software Development Lifecycle (SDLC), Software Engineering, Source Code/Configuration Management (SCM), Sports, State Laws and Regulations, Team Lead/Manager, Technical Delivery, Technical Leadership, Technical Strategy, Testing, User Experience Design (UXD), User Interface/Experience (UI/UX), Video Production
LOCATION
SEATTLE, WA
POSTED
17 days ago
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 are looking for a self-motivated, passionate and resourceful Senior Software Development Engineer to bring diverse perspectives, ideas, and skill-sets to make Prime Video even better for our customers. You will be a technical leader helping to design and build the ML infrastructure that power our vision. You will tackle complex and ambiguous problems, designing and delivering scalable and resilient ML and Data platform solutions from the ground up. You will not only write high-quality, maintainable code, but also mentor other engineers, influence our technical strategy, and drive engineering best practices across the team. Your work will directly contribute to making Prime Video's operations more efficient and will set the technical foundation for years to come. Key job responsibilities As a Sr. SDE on the Prime Video Data Platform team, you will have deep subject matter expertise in the areas of big data pipeline architecture, data foundations for personalization & recommendation systems and world-class user experience for customers of our data & ML infrastructure offerings. You will work with teams of scientists, product managers and engineers to translate business and functional requirements into concrete system deliverables. You will have the opportunity to build new platform services from the ground up, driving the development of innovative approaches to personalization, and providing opportunities for scientists and engineers to invent and implement scalable ML solutions supporting new customer experiences. Basic Qualifications - 5+ years of non-internship professional software development experience - 5+ years of programming with at least one software programming language experience - 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience as a mentor, tech lead or leading an engineering team Preferred Qualifications - 5+ 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 - Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution - Experience operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets, or experience with training and deploying machine learning systems to solve large-scale optimizations 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 - 193,300.00 - 261,500.00 USD annually USA, NY, New York - 184,900.00 - 250,200.00 USD annually USA, WA, SEATTLE - 168,100.00 - 227,400.00 USD annually

About the Company

A

Amazon

At Amazon, we don’t wait for the next big idea to present itself. We envision the shape of impossible things and then we boldly make them reality. So far, this mindset has helped us achieve some incredible things. Let’s build new systems, challenge the status quo, and design the world we want to live in. We believe the work you do here will be the best work of your life.

Wherever you are in your career exploration, Amazon likely has an opportunity for you. Our research scientists and engineers shape the future of natural language understanding with Alexa. Fulfillment center associates around the globe send customer orders from our warehouses to doorsteps. Product managers set feature requirements, strategy, and marketing messages for brand new customer experiences. And as we grow, we’ll add jobs that haven’t been invented yet.

It’s Always Day 1
At Amazon, it’s always “Day 1.” Now, what does this mean and why does it matter? It means that our approach remains the same as it was on Amazon’s very first day – to make smart, fast decisions, stay nimble, invent, and stay focused on delighting our customers. In our 2016 shareholder letter, Amazon CEO Jeff Bezos shared his thoughts on how to keep up a Day 1 company mindset. “Staying in Day 1 requires you to experiment patiently, accept failures, plant seeds, protect saplings, and double down when you see customer delight,” he wrote. “A customer-obsessed culture best creates the conditions where all of that can happen.” You can read the full letter here

Our Leadership Principles
Our Leadership Principles help us keep a Day 1 mentality. They aren’t just a pretty inspirational wall hanging. Amazonians use them, every day, whether they’re discussing ideas for new projects, deciding on the best solution for a customer’s problem, or interviewing candidates. To read through our Leadership Principles from Customer Obsession to Bias for Action, visit https://www.amazon.jobs/principles
COMPANY SIZE
10,000 employees or more
INDUSTRY
Other/Not Classified
FOUNDED
1994
WEBSITE
http://Amazon.com/militaryroles