Software Development Engineer, Recommendations, Machine Learning, Enterprise Personalization

Irvine, California, USA

Full Time
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Posted 1 month ago

As a member of the Enterprise Personalization team, you will help create and innovate on the next generation of Recommendation and Personalization technologies across multiple websites. Our team owns and creates recommendations and other personalization features for Amazon's websites and enterprise businesses including Amazon, IMDb, Zappos, ShopBop, ComiXology, Twitch.tv, 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. As a member of the team, you will work in a collaborative environment with a 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 a software engineer with an interest in machine learning, data science, search, or recommendation systems. You have great problem solving skills. 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. You enjoy working hard, having fun, and making history!

Basic Qualifications


· Programming experience with at least one modern language such as Java, C++, or C# including object-oriented design
· 1+ years of experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems.
· 2+ years of non-internship professional software development experience
· Bachelor’s Degree in Computer Science (or related)
· Strong CS fundamentals in object-oriented design, data structures and algorithms
· Proficiency in at least one modern programming Object Oriented language such as Java, C++, C#
· Excellent problem solving skills
· Excellent written and oral communication skills
· 2+ years of professional software development experience

Preferred Qualifications

· PhD in Computer Science or a related field
· Experience with commercial machine learning systems and/or recommender systems
· Experience with distributed computing and highly scalable systems, including tools such as AWS Elastic Map Reduce (EMR), SPARK, or Hadoop
· Highly motivated self-starter with bias for innovative thinking
· Experience in communicating with users, other technical teams, and management to collect requirements, describe software product features, and technical designs

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.

Job tags: AWS Hadoop Java Machine Learning Map Reduce Research Spark
Job region(s): North America
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