Amazon
Seattle, Washington, USA
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.
We are looking for a self-motivated, passionate and resourceful Software Development Engineer to bring diverse perspectives, ideas, and skill-sets to make Prime Video even better for our customers. You will be a service owner 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 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
Building ML platform services with Tier-1 availability and performance characteristics while enabling rapid model iteration and experimentation for scientists.
Evolving the model serving and feature delivery infrastructure to enable continuous experimentation and keep pace with innovations in state-of-the-art ML capabilities.
Designing and scaling training pipelines, real-time inference systems, and feature stores that support the constantly evolving landscape of Prime Video personalization across Movies, TV Shows, Live Sports, Linear TV, and beyond.
Partnering with Scientists, Product Managers, and Engineering stakeholders to translate research breakthroughs into production-grade platform capabilities.
A day in the life
As SDE / MLE, you will collaborate with engineering and science teams on building the ML platform that powers personalization solutions at incredible scale and speed. You will be operating with state of the art technologies in distributed systems and machine learning infrastructure. You will foster a culture of innovation and excellence, leading and growing talented junior engineers on your team and around PV. At the end of the day, you will have the reward of seeing your platform enable ML models that delight PV customers worldwide (including yourself!)
About the team
This team is at the heart of PV personalization, building the ML platform that enables scientists and engineers to rapidly develop, deploy, and iterate on models that understand customers' preferences based on their past engagement, current context, and other signals. We power the infrastructure behind video discovery experiences across PV, operating in a complex business/tech space that requires us to move at speed and support rapid prototyping and experimentation.
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
1+ years of software development engineer or related occupational experience
1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience
1+ years of Object Oriented Design experience
Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field
Experience programming with at least one software programming language
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 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
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, WA, SEATTLE - 143,700.00 - 194,400.00 USD annually