OpenAILondon, UK
just now
AmazonPosted 6d ago
L3
Software Development Engineer 2, Prime Video Personalization and Discovery
Software Development Engineer 2, Prime Video Personalization and Discovery at Amazon scores 65 out of 100 on AI centrality, which makes it a Level 3 role on this board.
US, WA, Seattlemidfull-time$144k-$194k
AI in this role
Builds low-latency streaming data platforms and feature-serving systems that power real-time AI personalization and ranking models on Prime Video.
streaming-pipelinesfeature-store
data-engineeringdistributed-systemslow-latency-systems
That's where you come in. As an SDE2 on PVPD's Data Platform, you'll build and own the online systems that turn raw customer behavior into fresh, reliable features and training datasets for our personalization and ranking models. You'll work on the near-real-time signal path that takes a customer's latest actions (a stream, a click, a search) and makes them available to models in seconds instead of hours, directly shaping what customers see on the storefront while their intent is still fresh.
This is a systems-heavy role at the intersection of data and scale. You'll design and operate low-latency feature-serving systems, streaming ingestion and processing pipelines, and the unified, extensible datasets that let a single investment in data quality, coverage, and freshness lift every downstream recommendation model, experiment, and science evaluation at once. You'll own the data contracts that keep online serving and offline training consistent, and the production reliability of these systems (freshness SLAs, availability, monitoring, and graceful degradation when upstream signals lag) because once a feature or dataset becomes a model dependency, it has to be trustworthy every time.
You'll collaborate with a talented team of engineers and scientists across PV Personalization & Discovery: partnering with applied scientists to understand which signals move the needle, and with modeling teams to deliver those signals and datasets at incredible scale and speed. If you're excited about building the real-time data foundations and enabler datasets that power AI-first personalization for one of the largest streaming audiences in the world, we'd love to talk.
Key job responsibilities
- Build and operate the online feature-serving systems that deliver customer-behavior signals to Prime Video's personalization and ranking models within a strict latency budget.
- Design and scale near-real-time streaming pipelines that take a customer's latest actions (e.g. streams, clicks, searches) from event to model-ready feature in seconds, meeting freshness SLAs end to end.
- Build the unified, extensible datasets and enabler data products that let a single investment in coverage, quality, and freshness lift every downstream model, experiment, and science evaluation at once.
- Own the data contracts and online/offline consistency that keep training and serving in sync, so features behave the same in production as they do in offline evaluation.
- Own production reliability for these systems including monitoring, alerting, freshness and availability SLAs, and graceful degradation when upstream signals lag.
- Take work from an ambiguous problem statement through design, launch, and measured impact on model and customer outcomes.
- Partner directly with applied scientists and modeling teams to turn the signals that move the needle into reliable, production-grade data.
- Work in an agile environment to deliver high-quality software.
About the team
In Prime Video Personalization and Discovery, our 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.
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
Prepare for this job
A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.
Skills and AI tools this role asks for
Data EngineeringDistributed SystemsLow Latency SystemsStreaming PipelinesFeature Store
Questions you could be asked
- Tell me about a project where data engineering was part of your work. What did you do?
- Tell me about a project where distributed systems was part of your work. What did you do?
- Tell me about a project where low latency systems was part of your work. What did you do?
- What's a project where you used Streaming Pipelines hands-on?
- Walk me through how you've used Feature Store in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Data Engineering, Distributed Systems, Low Latency Systems, Streaming Pipelines, and Feature Store. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project — this role expects it to be a running habit.
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