Senior Machine Learning Engineer, Global Services Security Engineering
4 weeks ago
Job Summary
Amazon Web Services is seeking a highly skilled Senior Machine Learning Engineer to join the Security Innovation team in Global Services Security (GSS). The ideal candidate will have experience in developing and deploying large-scale machine learning models and applications in production environments.
About the Role
In this role, you will be responsible for designing, building, and deploying end-to-end machine learning solutions that meet the needs of our customers. You will work closely with product, engineering, and science teams to optimize and scale machine learning models for production environments, implement data pipelines and infrastructure for model training and serving, and collaborate with data scientists and software engineers to integrate ML solutions into applications.
Key Responsibilities
- Design, build, and deploy end-to-end machine learning solutions
- Optimize and scale machine learning models for production environments
- Implement data pipelines and infrastructure for model training and serving
- Collaborate with data scientists and software engineers to integrate ML solutions into applications
About the Team
The Security Innovation team is responsible for delivering product-led, people-powered services that help our customers operate their businesses securely on AWS. We are accelerating our adoption of AI/ML and are looking for talented engineers to join our team.
Requirements
- 6+ years of non-internship professional software development experience
- 6+ years of programming with at least one software programming language experience
- 6+ years of leading design or architecture of new and existing systems experience
- Experience as a mentor, tech lead, or leading an engineering team
- 5+ years experience developing and deploying large-scale machine learning models and/or applications in production, including batch and real-time data processing, model containerization, CI/CD, REST or GraphQL APIs
Preferred Qualifications
- Bachelor's degree in computer science or equivalent
- 5+ years of full software development life cycle experience
- Hands-on experience building models with deep learning frameworks like MXNet, Tensorflow, Keras, Caffe, PyTorch, or similar
- Experience with serverless, event-driven architectures in AWS, including system design, development, and production operations; and infrastructure-as-code using AWS CDK, CloudFormation, or Terraform
What We Offer
Amazon is committed to a diverse and inclusive workplace. We offer a comprehensive benefits package, including medical, financial, and other benefits. We also offer a competitive salary and equity package.
How to Apply
If you are a motivated and talented engineer with a passion for machine learning, we encourage you to apply for this exciting opportunity.
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Seattle, Washington, United States Amazon Full timeAbout the RoleAmazon Web Services is seeking a highly skilled Senior Machine Learning Engineer to join the Security Innovation team in Global Services Security (GSS). As a key member of our team, you will be responsible for designing, building, and deploying end-to-end machine learning solutions to meet the needs of our customers.Key Responsibilities:Work...
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