Machine Learning Engineer, Prime Video ML Platform

Amazon; Seattle (WA); On-site; USD 144,000 - 194,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

Job summary

Amazon is hiring a Machine Learning Engineer for the Prime Video ML Platform to build scalable ML platform services and enable rapid model iteration. The role emphasizes state-of-the-art ML capabilities, distributed systems, and production-grade infrastructure for Prime Video personalization at scale.

You will collaborate with scientists, product managers, and engineers to deploy breakthroughs, mentor juniors, and drive innovations across Movies, TV, Live Sports, and beyond.

Qualifications

• 3+ years of non-internship professional software development experience.
• 2+ years of non-internship design or architecture experience.
• 1+ years of software development engineer or related experience.
• 1+ years of designing and developing large-scale, multi-tiered, distributed software applications.

Responsibilities

• Building ML platform services with Tier-1 availability and performance characteristics.
• Evolving the model serving and feature delivery infrastructure for continuous experimentation.
• Designing and scaling training pipelines, real-time inference systems, and feature stores.
• Partnering with Scientists, Product Managers, and Engineering stakeholders to translate research into production-grade platform capabilities.

Skills

C# / C++ / Java / Perl

OO design

Distributed systems

Software development

Education

Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics

Job description

Machine Learning Engineer, Prime Video ML Platform

Job ID: 10535739 | Amazon.com Services LLC

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.

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.

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
• 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

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 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

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.