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Personalization Engineer Jobs in Seattle, WA (NOW HIRING)

Showing results 21-40

Personalization Engineer information

See Seattle, WA salary details

$44.4K

$115.8K

$156.5K

How much do personalization engineer jobs pay per year?

As of Sep 14, 2026, the average yearly pay for personalization engineer in Seattle, WA is $115,797.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,600.00 and $132,600.00 per year, depending on experience, location, and employer.

What is a personalization engineer?

A Personalization Engineer is a technology professional who designs, develops, and maintains systems that tailor digital experiences to individual users. They use data analysis, machine learning, and algorithms to create customized content, recommendations, or user interfaces on platforms like websites, apps, or e-commerce stores. Their goal is to improve user satisfaction and engagement by delivering relevant and personalized experiences based on user behavior and preferences.

How does a personalization engineer typically collaborate with data scientists and product teams?

Personalization Engineers work closely with data scientists to interpret user data and develop algorithms that tailor content or experiences to individual preferences. They also partner with product managers and designers to ensure that personalization features align with product goals and enhance user satisfaction. Regular cross-functional meetings and agile workflows are common, allowing engineers to quickly iterate on models and integrate feedback from various stakeholders. This collaborative environment helps ensure that personalization solutions are both technically sound and user-centric.

What are the key skills and qualifications needed to thrive as a personalization engineer, and why are they important?

To thrive as a Personalization Engineer, you need a strong background in computer science, data analysis, and machine learning, often supported by a relevant degree. Familiarity with tools and frameworks such as Python, TensorFlow, recommendation systems, and A/B testing platforms is typically required. Analytical thinking, creativity, and collaborative communication are crucial soft skills for designing personalized user experiences and working with cross-functional teams. These skills and qualities are essential for delivering impactful, data-driven personalization strategies that enhance user engagement and business outcomes.

What is the difference between Personalization Engineer vs Data Scientist?

AspectPersonalization EngineerData Scientist
Required CredentialsBachelor's in CS, Engineering, or related; experience in personalization algorithmsBachelor's or higher in CS, Statistics, or related; advanced analytics skills
Work EnvironmentDevelops and implements personalization features within tech teamsAnalyzes data to extract insights, often collaborating with product teams
Employer & Industry UsageTech companies, e-commerce, media platformsTech firms, finance, healthcare, research institutions

Personalization Engineers focus on building and optimizing algorithms for tailored user experiences, while Data Scientists analyze data to inform business decisions. Both roles require strong technical skills but differ in their primary focus and daily tasks.

Infographic showing various Personalization Engineer job openings in Seattle, WA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $115,797 per year, or $55.7 per hour.

Principal PMT - Personalization ML Platform, Prime Video Personalization & Discovery

Seattle, WA • On-site

Amazon
IT Services • 10K+ employees

Full-time

Re-posted 29 days ago


Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,180 frontline employees who took The Breakroom Quiz


Job description

Prime Video is seeking a Principal Product Manager Technical to drive the vision, strategy, and execution of our Machine Learning platform and infrastructure, powering personalization, discovery, and customer and content intelligence at global scale.
In this role, you will own the strategy and roadmap for foundational platforms across Data, ML, and Measurement, enabling teams to rapidly build, experiment, and productionize machine learning solutions.
Your mission is to enable ML builders to move from idea to production faster by removing bottlenecks across the ML lifecycle from data ingestion and feature engineering to model training, deployment, and experimentation so teams can iterate faster while providing robust measurement capabilities that shorten iteration cycles. You will own the connection between platform capabilities and end-customer experience improvements, defining how infrastructure investments enabling Product teams to drive measurable gains in personalization quality, content discovery, and customer engagement metrics.
You will operate in highly complex domains including recommendation systems, real-time inference, large-scale distributed training, LLM infrastructure, and partner closely with engineering and science leaders to influence architecture, drive adoption, and deliver measurable business outcomes.
Key job responsibilities
* Define and drive the multi-year vision and roadmap for ML platform and infrastructure, articulating how platform decisions directly translate to customer-facing personalization outcomes across discovery, content intelligence, and emerging GenAI experiences
* Develop and own the data platform strategy, delivering clean, curated datasets that encode business logic and provide science teams with trusted, model-ready data foundations
* Build end-to-end ML tooling and pipelines that enable ML builders to discover datasets, ideate modeling approaches, conduct research and experimentation, and seamlessly productionize models from prototype to production
* Support large-scale model training, real-time inference, and compute optimization across CPU and GPU to ensure models perform efficiently at production scale
* Define and evolve the feature store strategy, supporting both online and offline data serving while minimizing online/offline skew to ensure consistency between training and serving environments
* Own the developer experience for ML builders by delivering self-service tools, reusable components, and standardized workflows that increase productivity, reduce operational overhead, and improve cost efficiency, scalability, and availability
*Enhance the measurement platform to monitor model performance in production, track input and output metric alignment, and provide clear visibility into how platform capabilities contribute to customer-facing outcomes
* Influence senior leadership and cross-functional stakeholders to align on platform strategy, investment priorities, and trade-offs
* Drive adoption of platform capabilities across teams by ensuring solutions are intuitive, reliable, and measurably better than existing workflows
About the team
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'll look for you to bring your diverse perspectives, ideas, and skill-sets 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!


What Amazon employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Amazon logo

About Amazon

Sourced by ZipRecruiter

Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.

Industry

It services, book publishers, retail, real estate, computer and electronic product manufacturing and software development

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US