Software Development Engineer II, Amazon Shopping Personalization

Benefits

Parental leave

6 weeks From the posting source checked Jun 20, 2026

Non-birth-parent leave

6 weeks From the posting source checked Jun 20, 2026

Family-building benefits

• Fertility benefits: Offered From the posting source checked Jun 20, 2026
• Adoption assistance: Offered From the posting source checked Jun 20, 2026
• Surrogacy assistance: Not verified

Mental health support

Offered From the posting source checked Jun 20, 2026

Relocation assistance

Not verified

Childcare support

Offered From the posting source checked Jun 20, 2026

Learning budget

Not verified

Verification

Source-linked checked Jun 7, 2026

Salary

$144K-$194K From the posting source checked Jun 20, 2026

401(k) match

Reported from DOL Form 5500 industry filing (not employer-specific)

Was this benefit information wrong? Tell us.

Market context

U.S. role benchmark (BLS OEWS)

$116,543 U.S. median for this role

Projected growth (BLS Employment Projections)

+9.8% - Much faster than average

45% above the BLS role benchmark for software engineering aggregate.

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Engineering From the posting source checked Jun 20, 2026

Seniority

Mid From the posting source checked Jun 20, 2026

Schedule

Shift type

Not verified

Weekend work

Not verified

Company

Company stage

Public-company From the posting source checked Jun 20, 2026

Equity

Offered Verified - SEC 10-K source checked Jun 20, 2026

Application

Cover letter

Not verified

Assessment

Not verified

Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Software Development Engineer II, Amazon Shopping Personalization Seattle, Washington, USA Personalization's (P13N) mission is to make Amazon more valuable for customers through relevant and timely product, program, and content recommendations and engaging shopping experiences. We delight customers by discovering the right items for them and making purchase decisions easier. We build systems and technology to enable teams across Amazon to personalize every customer interaction and optimize every aspect of these interactions using our proven techniques. As a member of the Product Similarities team within Personalization, you will play a key role in shaping the next generation of product understanding and recommendation systems. Our technical strategy combines product information, customer behavior, world knowledge, and contextual signals through advanced machine learning models and multimodal LLMs to deliver real-time and highly personalized recommendations for hundreds of millions of customers. You will help bring cutting-edge research from theory to large-scale production systems, tackling challenges in performance, scalability, and resiliency. The ideal candidate thrives in rapid experimentation, maintains a high engineering bar, and can drive ambiguous problems from concept to implementation. Experience in areas such as Machine Learning, Natural Language Processing, Computer Vision, LLMs, or Recommendation Systems is highly valued. Key job responsibilities * Design and develop robust and scalable machine learning systems that process large volumes of data * Applying the latest in machine learning research to solving very large scale problems Influence decisions in choosing the right technology to build components. * Join a great group of motivated people and work with them

Read the full description at www.amazon.jobs. FewerJobs shows a preview and links to the original posting.