Entry level machine learning engineer Jobs in USA

What if you could build the machine learning systems that decide which ads hundreds of millions of shoppers see—across every Amazon surface, worldwide?

The Sponsored Products and Brands - General Shopping Intelligence is looking for a talented Software Engineer with a strong machine learning engineering background to help us push the boundaries of ad relevance at Amazon scale. You'll partner with engineers and scientists to build advanced ML models and infrastructure—from training to inference—including emerging LLM-based systems that connect shoppers with the most relevant ads at exactly the right moment.

We're a highly motivated, collaborative team with a strong entrepreneurial spirit and bias for action. If you thrive in fast-moving environments where your work directly drives business growth and customer experience, this is where you'll do your best work.

Key job responsibilities
As a Software Development Engineer in Machine Learning, you will:
- Design, build, and operate near-real-time (NRT) data ingestion pipelines using Apache Flink, Kinesis, and DynamoDB that process shopper behavioral signals at scale (100K+ TPS, sub-second latency)
- Develop and maintain ML feature generation services that transform raw customer interactions into ML-ready signals consumed by prediction models across Amazon Ads
- Enhance the scalability, automation, and efficiency of large-scale training and real-time inference systems.
- Build and improve data quality monitoring frameworks, automated alerting, and self-healing mechanisms to ensure signal reliability at 99.9%+ availability
- Collaborate with applied scientists and partner engineering teams to onboard new shopper signals, define feature schemas, and optimize serving latency for real-time ad personalization
- Contribute to system design discussions, propose technical solutions for ambiguous problems, and drive implementation end-to-end with guidance from senior engineers

A day in the life
- Highly analytical — You solve problems backed by verifiable data, driving processes, tools, and statistical methods that support rational decision-making
- Humbitious — Ambitious yet humble; you use introspection and feedback to continuously raise the bar
- Engaged by ambiguity — You explore new problem spaces with unique constraints and non-obvious solutions, quickly identifying gaps and the right people to fill them

About the team
The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through industry leading generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising.

BASIC QUALIFICATIONS

- 2+ years of non-internship professional software development experience
- Experience programming with at least one software programming language
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience in machine learning, data mining, information retrieval, statistics or natural language processing

PREFERRED QUALIFICATIONS

- Bachelor's degree in computer science or equivalent
- 2+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers.