Role at a glance
- Salary
- $143.7K – $194.4K/yr
- Location
- Seattle, Washington, United States
- Work arrangement
- Hybrid
- Employment
- Internship
- Experience
- 3+ years of non-internship professional software development experience
- Education
- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field
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Role Summary
The AWS Marketplace Search team builds search intelligence systems that help customers discover, evaluate, and procure software. This Software Development Engineer role focuses on search relevancy, ranking, query understanding, embeddings, machine-learning integration, and evaluation systems that support Marketplace and adjacent AWS discovery experiences.
What You'll Do
- Build search relevancy and ranking systems serving AWS Marketplace's full product catalog.
- Develop query understanding and intent classification for product, comparison, and recommendation searches.
- Build embedding pipelines and hybrid retrieval architectures using BM25 and vector search.
- Integrate machine-learning models for ranking, content enrichment, and signal normalization.
- Develop evaluation frameworks including golden datasets, offline metrics, and A/B testing infrastructure.
- Build and operate search APIs consumed by the Marketplace website, AWS console integrations, and AI-powered agent experiences.
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
Required
- 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
- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field
Preferred
- 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
Original job description
Content provided by the employer
Original job description
Content provided by the employer
We're a small, high-impact team working on search relevancy, ranking, query intent classification, embeddings, and ML-powered enrichment. Our systems serve every search query on AWS Marketplace and increasingly power adjacent experiences like Agent Mode, console integrations, and the broader AWS discovery ecosystem. The problems are genuinely interesting: hybrid search architectures, LLM-based content enrichment, cross-encoder re-ranking, and building evaluation frameworks that let us measure whether we're actually getting better.
We're looking for a Software Development Engineer who wants to own hard problems end-to-end. You'll design and build systems that directly impact how customers find software on AWS; from the query understanding layer that classifies intent, to the ranking models that decide what shows up first, to the evaluation infrastructure that tells us if we got it right.
This isn't a role where you'll be handed a spec and asked to implement it. You'll be expected to dig into the data, form hypotheses about what's broken or missing, propose solutions, and ship them. You'll work closely with applied scientists, product managers, and partner teams building conversational AI and agentic experiences on top of our search platform.
We're a team that values depth over breadth. We'd rather you understand the problem deeply and ship something well-tested than rush to check a box. Code reviews are thorough but collaborative — we learn from each other. We run lean, which means your work has outsized impact, but also that you need to be comfortable with ambiguity and context-switching.
On-call is part of the deal - typically one week every two months. We invest heavily in operational health so pages are rare, and when they happen, we fix the root cause so it doesn't happen again.
We're a mix of experience levels and backgrounds. Senior engineers mentor newer team members, and everyone's opinion on architecture and approach carries weight regardless of title. We do our best work when we're learning from each other.
Key job responsibilities
- Search relevancy and ranking systems that serve AWS Marketplace's full product catalog
- Query understanding and intent classification - figuring out whether a customer wants a specific product, a comparison, or a recommendation
- Embedding pipelines and hybrid retrieval architectures (BM25 + vector search)
- ML model integration for ranking, content enrichment, and signal normalization
- Evaluation frameworks — golden datasets, offline metrics (NDCG, MRR), A/B testing infrastructure
- Search APIs consumed by multiple surfaces including the Marketplace website, AWS console integrations, and AI-powered agent experiences
- Operational excellence for a system that handles every search query on the platform
About the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Why AWS?
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.
Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve.
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
- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field
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
About the company
amazon
Large Enterprise
Amazon is a global leader in e-commerce and cloud computing, founded in 1994 by Jeff Bezos. Initially starting as an online bookstore, it has since expanded its offerings to include a vast range of products and services, including electronics, fashion, and digital content. With Amazon Web Services (AWS), the company also provides powerful cloud solutions to businesses around the world. Known for its innovation, customer-centric approach, and commitment to operational efficiency, Amazon continues to shape the future of retail and technology, consistently seeking new ways to enhance customer experiences.
Amazon is a global leader in e-commerce and cloud computing, founded in 1994 by Jeff Bezos. Initially starting as an online bookstore, it has since expanded its offerings to include a vast range of products and services, including electronics, fashion, and digital content. With Amazon Web Services (AWS), the company also provides powerful cloud solutions to businesses around the world. Known for its innovation, customer-centric approach, and commitment to operational efficiency, Amazon continues to shape the future of retail and technology, consistently seeking new ways to enhance customer experiences.