Software Engineer - ML Service @ Amazon.com Services LLC - New York, NY

Job Overview

14 days ago

Software Engineer - ML Service

Amazon.com Services LLC - New York, NY

Job summary
Do you want a unique, exciting opportunity to help build something from the ground up? We are looking for builders who are passionate about data science to join the Advertising Readiness team within Amazon Advertising.

Amazon is investing heavily in building a world class advertising business that is responsible for defining and delivering a collection of 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.

As part of our team evolution we are building a full engineering team to work with our product and science team to build and scale an ML service that delivers personalized guidance to each of the thousands of advertisers on Amazon. We are moving fast and have the ability to shape our tech infrastructure that will combine science and scalable engineering at a rapid pace.

We are looking for an experienced Software Development Engineers to build a scalable ML service which will interact with a number of tech platforms to deliver immediate value to thousands of advertisers each day. As a Software Development Engineer - on the Advertising Readiness team, you will architect a suite of RESTful micro-services backed by state of the art Machine Learning techniques.

An ideal candidate will have a strong proven track record of building highly scalable computation and recommendation platforms, and/or RESTful services built for recommendation systems, will have the creativity to architect simple solutions to complex problems and a ‘carte blanche’ of state of the art AWS solutions to leverage. You will work directly with Engineering, Data, Science and Product peers within your team to iterate and ship new ideas.

The successful candidate will have the satisfaction of seeing their work on Amazon.com and our Advertiser websites, where it will be viewed by millions of customers and drive quantifiable revenue impact. The candidate looks to broaden their technical skills and work in an environment that thrives on creativity, experimentation, and product innovation. This role will have a direct impact on the success of our Advertisers and the overall Amazon Advertising business.

Advanced degree (MS/ME/PhD) in Computer Science or related discipline
  • Experience building a scalable ML-powered service
  • Experience building production systems with customer and/or revenue impact, especially in the retail/advertising domain
  • Experience working with Amazon Web Services technologies to support scaling (S3, Elastic Map Reduce, Sagemaker, and Redshift
  • Knowledge of professional software engineering practices & best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations
·· Exposure to column-oriented databases such as Amazon Redshift and NoSQL databases such as Amazon DynamoDB
  • Experience with big data tools like Hadoop, Spark, EMR (Amazon Elastic Map Reduce)
  • Knowledge in Machine Learning, natural language processing, data mining, or information extraction
  • Experience in designing, building and troubleshooting complex systems
  • Experience with mentoring/leading other engineers and influencing best practices within your team
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.

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