Role at a glance
- Job function
-
AI & Data Machine Learning Engineering MLOps & ML Infrastructure
- Salary
- Not Disclosed
- Location
- Seattle, Washington, United States New York, New York, United States
- Work arrangement
- On-site
- Employment
- Internship
- Education
- Bachelor's
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Qualifications
Required
- 5+ years of non-internship professional software development experience
- 5+ years of programming with at least one software programming language experience
- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience as a mentor, tech lead or leading an engineering team
Preferred
- 5+ 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
About the role
Original posting provided by amazon
The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through industry-leading 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 reinventing 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!
Amazon Sponsored Products and Brands is looking for a talented Sr. Software Development Engineer to join the Global Optimization engineering team at the forefront of advertising technology innovation. We are working backwards from emerging markets to reimagine Amazon's advertising stack from the ground up — building highly scalable, low-latency systems that leverage multilingual and multi-modal GenAI technologies (including semantic hash designs, LLMs, and more) to deliver solutions that scale to non-US marketplaces from day one.
This is your opportunity to be part of a small, high-impact team that architects, builds, and ships production systems powering state-of-the-art solutions that will define the future of digital advertising.
The ideal candidate combines entrepreneurial drive with deep technical expertise, thriving in ambiguous, fast-moving environments where you define the path forward with minimal structure. Our team regularly goes from ideas on the whiteboard to production-grade systems in weeks.
- Customer Obsession - fuels your passion for building systems that deliver real-world value for millions of advertisers and customers worldwide. You think end-to-end — from the scientist's notebook to the customer's experience.
- You are consistently Right, A Lot - when navigating complex technical decisions, demonstrating the rare ability to identify architectures and solutions that drive maximum impact with minimal complexity. You cut through ambiguity to find the approach that delivers the most results.
- Your systems experience goes beyond textbook knowledge — you have successfully designed and operated large-scale distributed systems at Amazon scale, understanding both the promise and practical challenges of deploying ML-powered services in production (model serving, A/B experimentation infrastructure, real-time feature computation, etc.).
- You're not just an engineer — you're a builder - who sees the bigger picture. You partner deeply with scientists and product leaders, translate ambiguous business problems into crisp technical solutions, and know how to make it all reality.
Key job responsibilities
- Design and build at scale — Own the end-to-end architecture of distributed systems that serve millions of advertisers across global marketplaces, handling high-throughput, low-latency workloads at Amazon scale.
- Bring GenAI to production— Partner closely with Applied Scientists to take models from prototype to production — building robust serving infrastructure, training pipelines, feature stores, and evaluation frameworks that turn research breakthroughs into real customer value.
- Invent from the ground up — Help reimagine the advertising technology stack for international markets, designing systems that are multilingual, multi-modal, and globally scalable by default.
- Drive operational excellence — Establish best practices for reliability, observability, and deployment, ensuring our systems maintain the highest bar for availability and performance.
- Raise the bar — Mentor engineers across the team, lead design reviews, and shape our engineering culture as we scale.
- 5+ years of programming with at least one software programming language experience
- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience as a mentor, tech lead or leading an engineering team
- 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.
USA, NY, New York - 184,900.00 - 250,200.00 USD annually
USA, WA, SEATTLE - 168,100.00 - 227,400.00 USD annually
Amazon Sponsored Products and Brands is looking for a talented Sr. Software Development Engineer to join the Global Optimization engineering team at the forefront of advertising technology innovation. We are working backwards from emerging markets to reimagine Amazon's advertising stack from the ground up — building highly scalable, low-latency systems that leverage multilingual and multi-modal GenAI technologies (including semantic hash designs, LLMs, and more) to deliver solutions that scale to non-US marketplaces from day one.
This is your opportunity to be part of a small, high-impact team that architects, builds, and ships production systems powering state-of-the-art solutions that will define the future of digital advertising.
The ideal candidate combines entrepreneurial drive with deep technical expertise, thriving in ambiguous, fast-moving environments where you define the path forward with minimal structure. Our team regularly goes from ideas on the whiteboard to production-grade systems in weeks.
- Customer Obsession - fuels your passion for building systems that deliver real-world value for millions of advertisers and customers worldwide. You think end-to-end — from the scientist's notebook to the customer's experience.
- You are consistently Right, A Lot - when navigating complex technical decisions, demonstrating the rare ability to identify architectures and solutions that drive maximum impact with minimal complexity. You cut through ambiguity to find the approach that delivers the most results.
- Your systems experience goes beyond textbook knowledge — you have successfully designed and operated large-scale distributed systems at Amazon scale, understanding both the promise and practical challenges of deploying ML-powered services in production (model serving, A/B experimentation infrastructure, real-time feature computation, etc.).
- You're not just an engineer — you're a builder - who sees the bigger picture. You partner deeply with scientists and product leaders, translate ambiguous business problems into crisp technical solutions, and know how to make it all reality.
Key job responsibilities
- Design and build at scale — Own the end-to-end architecture of distributed systems that serve millions of advertisers across global marketplaces, handling high-throughput, low-latency workloads at Amazon scale.
- Bring GenAI to production— Partner closely with Applied Scientists to take models from prototype to production — building robust serving infrastructure, training pipelines, feature stores, and evaluation frameworks that turn research breakthroughs into real customer value.
- Invent from the ground up — Help reimagine the advertising technology stack for international markets, designing systems that are multilingual, multi-modal, and globally scalable by default.
- Drive operational excellence — Establish best practices for reliability, observability, and deployment, ensuring our systems maintain the highest bar for availability and performance.
- Raise the bar — Mentor engineers across the team, lead design reviews, and shape our engineering culture as we scale.
Basic Qualifications
- 5+ years of non-internship professional software development experience- 5+ years of programming with at least one software programming language experience
- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience as a mentor, tech lead or leading an engineering team
Preferred Qualifications
- 5+ 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, NY, New York - 184,900.00 - 250,200.00 USD annually
USA, WA, SEATTLE - 168,100.00 - 227,400.00 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.