Machine Learning Engineer, Demand Utilization - New York, United States - Amazon

Description

Does serving ads to billions of search requests daily and finding the most relevant ads for a search page from billions of ads in 10s of milliseconds excite you?

The Sponsored Products Demand Utilization team owns sourcing the relevant ads to surface to customers when they search for products on Amazon. We strive to understand our customers intent and identify relevant ads which enable them to discover new and alternate products. This also enables sellers on Amazon to showcase their products to customers, which may at times be buried deeper in the search results.

Our systems and algorithms operate on one of the world's largest product catalogs, matching shoppers with products - with a high relevance bar and strict latency constraints. We are a team of machine learning scientists and software engineers working on complex solutions to understand the customer intent and present them with ads that are not only relevant to their actual shopping experience, but also non-obtrusive. This area is of strategic importance to Amazon Retail and Marketplace business, driving long term-growth.

We are looking for a Software Engineer (ML), who can drive appropriate technology choices for the business. 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. The solutions you create would drive step increases in coverage of sponsored ads across the retail website and ensure relevant ads are served to Amazon's customers. You will directly impact our customers shopping experience while helping our sellers get the maximum ROI from advertising on Amazon. This role will provide exposure to cutting-edge innovations in product search, information retrieval, natural language processing (NLP), deep learning, and image processing.

Job Responsibilities:

Drive the direction of our technical solutions, and work on many different technologies such as deep learning, AWS, Auto ML, real-time ML serving systems.

Design, develop, and production software to support scalable offline machine-learning pipelines and online serving components.

Work closely with applied scientists to optimize the performance of machine-learning models, improve the teams machine learning productivity, and advance the technical foundation to empower our science innovation. What you create is also what you own.

Impact and Career Growth:

This is a rare opportunity to work on new projects that are responsible for billions of dollars in revenue as well as work alongside many of the best and brightest science and engineering talent within Amazon. This is a highly visible role that will help take our solutions to the next level. The work you deliver will have a direct impact on customers and revenue

Why you love this opportunity:

Amazon is investing heavily in building a world class advertising business and we are responsible for defining and delivering a collection of self-service performance advertising products that drive discovery and sales. Our products are strategically important to our Retail and Marketplace businesses driving long term growth. We deliver billions of ad impressions and millions of clicks daily and are breaking fresh ground to create world-class products. We are highly motivated, collaborative and fun-loving with an entrepreneurial spirit and bias for action. With a broad mandate to experiment and innovate, we are growing at an unprecedented rate with a seemingly endless range of new opportunities.

Internal job description

Loop competencies

Basic qualifications

Programming experience with at least one software programming language.

1+ years of experience in software development

Experience with building machine learning infrastructure, data pipelines to train ML models, etc.

Experience with common machine learning techniques such as pre-processing data, training, evaluation of classification and regression models.

Experience in building large-scale machine-learning infrastructure for online recommendation, ads relevance and/or ranking, personalization, search, or similar area.

Preferred qualifications

Industry experience in software development.

Experience with machine learning in production

Experience with Big Data technologies such as AWS, Hadoop, Spark, Pig, Hive, Pig, Hive, Presto, HBase, etc.

Excellent software systems design expereince

Experience with ML libraries/frameworks such as Tensorflow, AWS Sagemaker, Keras, PyTorch, etc.

Coursework or thesis in machine learning, data mining, information retrieval, statistics or natural language processing

Advanced knowledge of performance, scalability, enterprise system architecture, and engineering best practices

We are open to hiring candidates to work out of one of the following locations:

Arlington, VA, USA | New York, NY, USA

Basic Qualifications

3+ years of non-internship professional software development experience

2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience

Experience programming with at least one software programming language

Preferred Qualifications

3+ 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 equivalent

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

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $115,000/year in our lowest geographic market up to $223,600/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. For more information, please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.