채용
Benefits & Perks
•Competitive salary and equity package
•Comprehensive health, dental, and vision insurance
•Parental leave
•401(k) matching
•Generous paid time off and holidays
•Team events and activities
•Equity
•Healthcare
•Parental Leave
Required Skills
Python
JavaScript
TypeScript
Amazon Ads is re-imagining the advertising landscape through advanced generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising.
Key job responsibilities
This role will be critical in redesigning how ads contribute to a personalized, relevant, and inspirational shopping experience, with the customer value proposition at the forefront. Key responsibilities include, but are not limited to:
- Design, develop, and operate large-scale distributed systems for Sponsored Products and Brands advertising.
- Build and optimize data pipelines and services to improve ad retrieval, allocation, and recommendations.
- Apply Generative AI (GenAI) and Large Language Models (LLMs) to deliver more relevant, personalized ad and shopping experiences.
- Collaborate with applied scientists, product managers, and other engineers to define and deliver customer-focused solutions.
- Write high-quality, maintainable code and participate in design and code reviews.
- Drive operational excellence through monitoring, automation, and continuous improvement.
A day in the life
As a Software Development Engineer, you will help build hyper-scale online systems, offline data pipelines, and machine learning infrastructure—leveraging GenAI and LLMs to transform advertising and shopping experiences. You will have the opportunity to transform core areas such as ad retrieval, ad allocation, whole-page relevance, and differentiated recommendations by designing and delivering high-quality, architecturally sound systems aligned with business needs. With the support of GenAI, you will design globally scalable solutions that evolve in the right long-term direction while delivering iterative value to customers. This is a rare opportunity to redefine how ads are retrieved, allocated, and experienced—elevating them into personalized, contextually aware, and inspiring parts of the customer journey. If you are passionate about applying frontier AI to solve real-world problems at massive scale and impact, this is your chance to define the next chapter of advertising engineering.
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 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
- Experience programming with at least one software programming language
- Bachelor's degree in computer science or equivalent
Preferred Qualifications
- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Experience in machine learning, data mining, information retrieval, statistics or natural language processing
- Experience integrating GenAI tools, evaluating and refining GenAI outputs, and applying responsible AI practices to augment productivity and quality
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, NY, New York - 158,100.00 - 213,800.00 USD annually
USA, WA, Seattle - 143,700.00 - 194,400.00 USD annually
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About Amazon

Amazon
PublicAmazon.com, Inc. is an American multinational technology company engaged in e-commerce, cloud computing, online advertising, digital streaming, and artificial intelligence.
10,001+
Employees
Seattle
Headquarters
Reviews
2.9
10 reviews
Work Life Balance
2.8
Compensation
3.7
Culture
2.5
Career
2.3
Management
2.1
35%
Recommend to a Friend
Pros
Good pay and compensation
Strong benefits package
Flexible scheduling options
Cons
Poor management and leadership
Limited growth and promotion opportunities
High stress and demanding work environment
Salary Ranges
2 data points
L2
L3
L4
L5
L6
M3
M4
M5
M6
L2 · Product Designer L2
0 reports
$163,720
total / year
Base
$65,488
Stock
$81,860
Bonus
$16,372
$114,604
$212,836
Interview Experience
10 interviews
Difficulty
3.7
/ 5
Duration
21-35 weeks
Offer Rate
20%
Experience
Positive 10%
Neutral 10%
Negative 80%
Interview Process
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Phone Screen
5
Onsite/Virtual Loop
6
Team Matching
7
Offer
Common Questions
Coding/Algorithm
System Design
Behavioral/STAR
Leadership Principles
Technical Knowledge
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