Software Development Manager, Recommendations, Machine Learning, Enterprise Personalization, Personalization

US, WA, Virtual Location - Washington

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Job summary
As a manager in the Enterprise Personalization team, you will lead creation and innovation on the next generation of Recommendation and Personalization technologies across multiple websites, platforms, features, and services. Our team owns and creates recommendations and other personalization features for Amazon's websites and enterprise businesses including Amazon, IMDb, Zappos, ShopBop, Prime Gaming, AbeBooks, TheBookDepository, etc. Spanning Academia, research, and applied machine learning techniques operating at world-class scale, we focus on recommending the right product to the right customer at the right time. You will be surrounded by thought-leaders in the Personalization space who are patent-leaders within Amazon.


In Personalization we use state-of-the-art machine learning techniques and A/B testing to run experiments on some of Amazon’s most prominent and valuable pages. We work on a diverse range of products, building real-time, low-latency recommendation and ranking systems as well as building algorithms for understanding customer behavior and generating recommendations content. You will hone your skills in areas such as deep learning and collaborative filtering while building scalable industrial machine learning systems that handle millions of requests a day. You will lead a collaborative team of experienced engineers. You will have a unique opportunity to drive direct, measurable impact to our customers, powering features on multiple websites.


About our team: Our team has the autonomy to decide where we can have the most impact and get down to experimenting. We love metrics and the fast pace. We analyze data to uncover potential opportunities, generate hypotheses, and test them. We refuse to accept constraints, internal or external, and have a strong bias for action. We imagine, build prototypes, validate ideas, and launch follow-up experiments from the successful ones.

About you: You are an entrepreneurial software development manager with an interest in machine learning, data science, search, or recommendation systems. You love keeping abreast of the latest technology and use it to help you innovate. You have strong leadership qualities, great judgment, clear communication skills, and a track record of delivering great products and hiring/coaching successful teams.

Basic Qualifications


  • 7+ years of experience working directly within engineering teams
  • Experience partnering with product OR program management teams
  • 3+ years of people management experience, managing engineers
  • 3+ years of experience architecting and designing (architecture, design patterns, reliability and scaling) of new and current systems

· Bachelor’s Degree in Computer Science (or related)
· Strong CS fundamentals in object-oriented design, data structures and algorithms
· 5+ years of software industry experience
· 1+ years of managing software development teams

Preferred Qualifications

· Experience with professional software engineering practices & best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations
· Excellent written and verbal communication skills with the ability to present complex technical information in a clear and concise manner to a variety of audiences

· Experience designing software architectures for scalability, reliability and performance



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.

Tags: A/B testing Computer Science Deep Learning Engineering Industrial Machine Learning Research Testing

Perks/benefits: Career development

Regions: Remote/Anywhere North America
Country: United States
Job stats:  2  0  0

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