Amazon · 7 months ago
Machine Learning Engineer, AWS Training & Certification
Seattle, Washington, USA
Full-time
Onsite
Mid Level
$129K/yr - $224K/yr
3+ years expAmazon is a tech firm with a focus on e-commerce, cloud computing, digital streaming, and artificial intelligence. They are seeking a Machine Learning Engineer to empower individuals and companies to cultivate their professional skills using AWS products and services. The role involves building and deploying AI applications, enhancing observability, and contributing to scalable ML workflows.
Artificial Intelligence (AI)DeliveryE-CommerceFoundational AIRetail
Responsibilities
Focus on Model Deployment, including all tasks necessary to turn a prototype into a production model, such as
Model data pipelines: building data pipelines to produce inputs for training and inference in both online and offline contexts
Training and inference pipelines: orchestration of model training and inference jobs
Post-inference work: work required after the model’s output to serve business needs such as integration with engineering systems
Design, develop, and maintain full-stack internet-scale web applications on AWS; heavy focus on RESTful APIs, infrastructure as code, and test automation
Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving
Enhance observability and logging mechanisms to proactively identify and troubleshoot issues, and maintain dialogue state for offline training and model improvement
Contribute to building an infrastructure that facilitates end-to-end ML workflows
Qualification
Required
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
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
AWS experience preferred, with proficiency in a wide range of AWS services (e.g., EC2, S3, RDS, Lambda, IAM, VPC, CloudFormation)
Benefits
Equity
Sign-on payments
Full range of medical, financial, and/or other benefits
Company
Amazon
Amazon is a tech firm with a focus on e-commerce, cloud computing, digital streaming, and artificial intelligence.
10001+ employees
H1B Sponsorship
Amazon has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (22803)
2024 (21175)
2023 (19057)
2022 (24088)
2021 (12233)
2020 (14881)
Funding
Current Stage
Public CompanyTotal Funding
$8.11BKey Investors
AmazonKleiner Perkins
2023-01-03Post Ipo Debt· $8B
2001-07-24Post Ipo Equity· $100M
1997-05-15IPO
Leadership Team
Douglas J. Herrington
CEO, Worldwide Amazon Stores
Werner Vogels
VP & CTO
Recent News
2026-01-17
2026-01-17
Company data provided by crunchbase