Palo Alto, CA, US
68 days ago
Sr. SDE - ML, Search Ranking
The Amazon Search team creates powerful, customer-focused search and advertising solutions and technologies. Whenever a customer visits an Amazon site worldwide and types in a query or browses through product categories, Amazon Search services go to work. We design, develop, and deploy high performance, fault-tolerant distributed search systems used by millions of Amazon customers every day. Our Search Relevance team works to maximize the quality and effectiveness of the search experience for visitors to Amazon websites worldwide.

Amazon’s large scale brings with it unique problems to solve in designing, testing, and deploying relevance deep-learned models. We are seeking a strong software engineer to join the Search Relevance team.

In this role, you will:

* Design, develop and deploy machine learning infrastructure for search ranking at Amazon scale.
* Optimize deep learned models on multi-node GPUs for training.
* Be curious. You will work alongside systems engineers, machine learning scientists, and data analysts. Your effectiveness and impact will depend on discussing problems with and learning from them.
* Take ownership and understand the needs of various search teams (including search science teams), distil those into coherent projects, and implement them with an eye on long-term impact. You will see the fruits of your efforts used by hundreds of millions of users.
* Be a leader. You will use your expertise to set a high bar for the team, mentor team members, set the tone for how to take on and deliver on large scale complex projects.
* Be ambitious. You will find and eagerly tackle hard problems. The phrase ‘can’t be done’ should energize you.
* Be customer focused. You will work backwards from customer problems, figure out elegant solutions, and implement them for speed and scalability.
* Join a highly talented team of Engineers working on solving interesting problems in a fun and collaborative environment.
* Get exposure to large scale use of various AWS components such EC2, S3, EMR, Sagemaker etc.
* Have access to the vast technical tools and resources of Amazon. Joining this team, you’ll experience the benefits of working in a dynamic, entrepreneurial environment, while leveraging the resources of Amazon.com (AMZN), one of the world's leading internet companies.

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