Software Development Engineer II, 2.0 Consumer Engagement & Analytics (67)other related Employment listings - Seattle, WA at Geebo

Software Development Engineer II, 2.0 Consumer Engagement & Analytics (67)

Do you want to build cutting-edge highly scalable services & infrastructure using AWS technologies and support new machine learning initiatives? Does the prospect of building services serving billions of requests per day while maintaining response latencies in milliseconds and meeting strict SLA requirements, excite you? The Books Personalization team helps customers to find the next book they would love.
Our systems and algorithms operate on one of the world's largest book catalogs, recommending books to customers - with a strict latency constraint.
We are a team of software engineers working alongside machine learning scientists on complex solutions to understand the customer intent and present them with books are relevant to their liking.
We are looking for a Software Engineer, who can drive appropriate technology choices for the business, lead the way for continuous innovation, and shape the future of recommendation systems in Amazon Books.
You will build services to handle billions of requests per day, while maintaining response latencies in milliseconds and meeting strict SLA requirements.
It is quite routine for our systems to operate on massive datasets using distributed frameworks.
You will design and code, troubleshoot, and support high volume and low latency distributed systems.
You will develop ML models either from scratch or by modifying existing algorithms.
The solutions you create would drive step increases in building better recommender and/or helping more customers.
You will directly impact our customers' book shopping experience.
This role will provide exposure to cutting-edge innovations in recommender system, as well as working experience on science side of the spectrum.
We are open to hiring candidates to work out of one of the following locations:
Seattle, WA, USA.
Estimated Salary: $20 to $28 per hour based on qualifications.

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