Logo
Amazon

Sr. SDE - ML, Search Ranking

Amazon, Palo Alto, California, United States, 94306


Job ID: 2746403 | Amazon.com Services LLCThe 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 as 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.

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 processingPREFERRED 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 equivalentAmazon 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.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.Posted:

July 22, 2024

(Updated about 1 hour ago)

#J-18808-Ljbffr