Software Development Engineer III, Sponsored Products and Brands at Amazon SZ South 3 GmbH

Seattle, Washington, United States -

Full Time

Start Date

Immediate

Expiry Date

29 May, 26

Salary

250200.0

Posted On

28 Feb, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Software Development, Distributed Systems, Machine Learning Infrastructure, LLM Workflows, LLM Models, LLMOps, Customer-Facing Functionality, Generative AI, Design Patterns, Reliability, Scaling, ML Compilers, Production Coding Agents, GenAI Model Architecture, Model Training, Neural Network Optimization

Industry

Software Development

Description

Amazon is building a world-class advertising business that delivers self-service performance advertising products driving merchandise discovery and sales. Our advertising solutions are strategically critical to our retail and marketplace businesses' long-term growth. We serve billions of ad impressions and generate millions of clicks daily while continuously breaking new ground in product innovation. We are a highly motivated, collaborative, and fun-loving group with an entrepreneurial spirit and bias for action. With broad latitude to experiment and innovate, the team is experiencing unprecedented growth and continuously exploring new ideas and opportunities. Key job responsibilities We're seeking a Software Development Engineer to join our Conversational Ad Experiences (CAX) team within Sponsored Products and Brands (SPB). SPB enables merchants, vendors, and brand owners to drive incremental sales through contextually relevant ads across Amazon properties (Amazon.com, Alexa, etc.) and third-party publishers. The CAX team specializes in developing sponsored conversational experiences powered by large language models (LLMs). We're pioneering multiple industry-first initiatives that, while complex and ambiguous, offer opportunities to create significant impact for our consumers, advertisers, and the business. As an engineer on our team, you will: * Drive major product and engineering initiatives * Build large-scale, low-latency distributed systems * Develop ML infrastructure and LLM-based AI workflows * Partner with our science team to implement LLM models in production * Contribute to LLMOps * Design, build, and operate customer-facing functionality impacting hundreds of millions of shoppers worldwide About the team 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 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. 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 - Experience in one or more of the following areas: ML compilers, production coding agents, GenAI model architecture, model training, neural network optimization, or alternatively applied math. 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 [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 [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

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Responsibilities

The role involves driving major product and engineering initiatives, building large-scale, low-latency distributed systems, and developing ML infrastructure and LLM-based AI workflows. Engineers will also partner with the science team to implement LLM models in production and contribute to LLMOps.