Amazon ML Engineer Devices Services Security 

United States, Washington, Seattle 

813916186

Devices and Services Security protects popular consumer products including Alexa, Echo, Fire TV and Kindle.We’re seeking a Machine Learning Engineer to develop AI solutions leveraging Large Language Models (LLM), Machine Learning (ML) and Natural Language Processing (NLP) techniques to advance security in our products. You will own the design of major security tooling, infrastructure, define development roadmaps, own key deliverables and have opportunities to build them from scratch. You will interact directly with Security Engineers and convert their vision into a technical solution.Key job responsibilities
In this role, you will:
- Analyze and extract relevant information from large amounts of historical data- Mentor junior team members technicallyA day in the life
You'll work directly with Security Engineers, but also product, and other key stakeholders to launch, iterate, and ultimately protect users in every corner of the globe.About the team
Diverse Experiences
Security roles benefit from a diverse range of experiences. The ability to think outside the box helps us stay ahead of attackers. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply.Training & Career Growth
To stay ahead of attackers, we need to constantly be Learning. That’s why you’ll find endless knowledge-sharing, training, and other career-advancing resources here to help you develop into a better-rounded professional.Work/Life Balance

- 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
- Bachelor's degree in computer science or equivalent
- 2+ years of relevant experience developing and deploying large scale machine learning or deep learning models and/or systems into production, including batch and real-time data processing

- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Masters or PhD degree in computer science, engineering, mathematics, operations research, or in a highly quantitative field
- Practical experience in solving complex problems in an applied environment
- Experience working with highly unbalanced and unlabeled data
- Experiences related to AWS services such as SageMaker, EMR, S3, DynamoDB and EC2. Experiences related to machine learning, deep learning, NLP, CV, GNN, or distributed training