Software Engineer, Amazon Ads - ML Service, AdCatalyst

- 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
- 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
- Experience building scalable ML-powered services and knowledge in machine Learning, natural language processing, data mining, or
- information extraction.
- 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
- Exposure to column-oriented databases such as Amazon Redshift and NoSQL databases such as Amazon DynamoDB and big data tools like Hadoop, Spark, EMR (Amazon Elastic Map Reduce)

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.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/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 https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
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 AdCatalyst 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 teams to build and scale an ML service. The service 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 experienced Software Development Engineers to build a scalable ML service that 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 AdCatalyst team, you will architect a suite of RESTful microservices backed by state-of-the-art Machine Learning techniques.

While not a strict requirement, familiarity with Large Language Models (LLMs) and Generative AI (GenAI) is a strong plus, as we explore ways to incorporate advanced AI into our recommendation systems and personalized ad optimizations. Experience with LLMs and GenAI could help shape future innovations, though the role will primarily focus on scalable engineering and delivering core ML-driven services.

An ideal candidate will have a strong proven track record of building highly scalable computation and recommendation platforms, and/or RESTful services designed for recommendation systems. You will have the creativity to architect simple solutions to complex problems with 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. This role offers the opportunity to broaden your technical skills in an environment that thrives on creativity, experimentation, and product innovation. The role will have a direct impact on the success of our Advertisers and the overall Amazon Advertising business.

About the team
Ad Catalyst is part of Advertiser Experience organization within Amazon Worldwide Advertising. Amazon Advertising is one of Amazon's fastest growing and most profitable businesses. The Advertiser Experience (AX) organization owns the experience of the advertiser from the moment they decide to engage with our platform through the full lifecycle of self-service advertising management. Ad Catalyst Team enables Advertisers to get most growth by providing them with science-backed ML generated guidance at-scale by connecting retail, advertising and marketing signals. This is an exciting opportunity to help build and maintain scalable low latency (<50ms) high throughput (1000+ TPS), ML powered services to deliver immediate value to thousands of advertisers each day. You will directly power critical customer facing functionalities and interact with a number of Ads Tech platforms!