Description

Are you passionate about building cutting-edge recommender systems and crafting personalized experiences across multiple platforms? Join Personalization team and be a key player in innovating the next generation of Recommendation and Personalization across Amazon Shopping experience.

What we do:

Our team drives personalized experiences by leveraging state-of-the-art machine learning techniques to ensure customers receive the right recommendations at the right time. We own and develop the core recommendation and personalization features that power various Amazon-owned businesses. By employing advanced A/B testing, we experiment with and fine-tune our solutions on some of the most prominent and high-traffic pages within Amazon’s ecosystem. Our work spans real-time, low-latency recommendation systems, customer behavior analysis, and the creation of dynamic content, all designed to elevate the customer experience.

What you’ll do:

As a valued member of our team, you’ll work alongside industry thought leaders who are not only pioneers in the personalization space but also patent-holders within Amazon. You’ll contribute to building scalable, high-impact solutions in a collaborative environment where your ideas and expertise will directly influence the experiences of millions of customers across multiple websites. You’ll also have the unique opportunity to make measurable contributions, whether you’re building new algorithms, refining existing systems, or conducting experiments that drive the business forward.

About our culture:

We thrive in a fast-paced, metrics-driven environment where data guides our decisions. Our team operates with autonomy, enabling us to identify high-impact opportunities, create hypotheses, and test them through rigorous experimentation. We’re not afraid to challenge constraints, think outside the box, and take bold actions. Whether we’re prototyping new concepts or scaling successful ideas, we’re committed to continuous innovation.

About you:

You’re a skilled software engineer with a keen interest in machine learning, data science, search, or recommendation systems. Your strong problem-solving skills, coupled with a passion for staying on the cutting edge of technology, drive your desire to innovate. You possess strong leadership qualities, sound judgment, and clear communication skills, all underpinned by a proven track record of delivering exceptional products. You thrive in a dynamic environment, enjoy tackling challenges, and are excited about the prospect of making a lasting impact.

Internal candidates:

Let’s connect over coffee to discuss how you can be part of our innovative and impactful team.

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 machine learning, data mining, information retrieval, statistics or natural language processing

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 committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $151,300/year in our lowest geographic market up to $261,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.