We are seeking an exceptional Machine Learning Engineer to join a team of experts in the field of AI/ML, and work together to tackle challenging business problems across diverse compliance domains. We leverage and train state-of-the-art multi-modal, large-language-models (LLMs), and vision language models (VLMs) to detect illegal and unsafe products across the Amazon catalog. We work on machine learning problems for generative AI, agentic systems, multi-modal classification, intent detection, information retrieval, anomaly and fraud detection.
As a machine learning engineer, you will work with a highly skilled cross-functional team to invent, design, build and manage scalable ML systems. You will be solving challenging customer problems that are yet to be solved, conduct rapid prototyping, and deploy ML models to production. You will be using the latest innovations in AI, AWS, and industry technologies to build software, keeping our customers safe.
If you’d like to make a real-world difference by working hard, having fun, and making history, this is the team for you!
Key job responsibilities
In this role you will:
- Contribute to defining the system architecture, own implementation of specific components, and help shape the overall experience
- Collaborate closely with other team members to help define the scope of the product
- Take responsibility for technical problem solving to creatively meeting objectives, while insisting on best practices
- Write high-quality, efficient, testable code in Python and other object-oriented languages
- Design Amazon-scale tools to facilitate internal business
- Build highly available, secure, and low-latency systems
- Find out what it takes to engineer systems for "Amazon Scale"
- Own and operate the systems that you build based on real-time customer data and demanding service-level agreements
A day in the life
High-level designs, cross-team alignment, long-term architectural roadmap and technical strategy, understanding the business domain and proposing solutions to address customer and business problems, helping scope and analyze product requirements, mentorship, reviewing and writing high quality code.
About the team
We are a team of scientists and engineers building AI/ML solutions to make Amazon the Earth’s most trusted shopping destination for safe and compliant products.
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
- 2+ years of relevant experience in developing and deploying large-scale machine learning or deep learning models/systems into production, batch and real-time data processing, model containerization, CI/CD pipelines, API development, model training and productionizing ML models, and using Python and frameworks such as PyTorch, TensorFlow
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
- Experience with AWS services like SageMaker, EMR, S3, DynamoDB, and EC2 for machine learning, deep learning, NLP, GenAI, distributed training, and model hosting
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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