ML Engineer, Devices and Services Security
Description For ML Engineer, Devices and Services Security
Amazon's Devices and Services Security team is at the forefront of protecting popular consumer products including Alexa, Echo, Fire TV, and Kindle. We're seeking a talented Machine Learning Engineer to develop cutting-edge AI solutions using Large Language Models (LLM), Machine Learning (ML), and Natural Language Processing (NLP) techniques. This role offers a unique opportunity to advance security in our products while working with state-of-the-art technology.
As an ML Engineer, you'll be responsible for designing and implementing major security tooling and infrastructure, defining development roadmaps, and building solutions from the ground up. You'll work directly with Security Engineers to transform their vision into technical solutions, using tools like Amazon SageMaker and Amazon Bedrock to provide scalable production solutions.
The role combines technical expertise with collaborative teamwork, as you'll interact with product stakeholders, analyze large datasets, and work closely with science and engineering teams. You'll have the opportunity to mentor junior team members and contribute to a diverse team where thinking outside the box is valued.
Amazon Security offers an environment where security is central to maintaining customer trust. You'll join an organization responsible for creating and maintaining high security standards across Amazon's vast product portfolio. The position provides opportunities to build experience across various domains including cloud, devices, retail, entertainment, and healthcare.
We believe in continuous learning and provide extensive knowledge-sharing and training resources to help you grow professionally. Our culture values work-life harmony, ensuring success at work doesn't come at the expense of personal life. The compensation package is competitive, reflecting the importance of this role, and includes comprehensive benefits.
Join us to be part of a team that protects millions of users globally while working with cutting-edge technology in an environment that promotes growth, innovation, and work-life balance.
Responsibilities For ML Engineer, Devices and Services Security
- Develop AI solutions leveraging Large Language Models (LLM), Machine Learning (ML) and Natural Language Processing (NLP)
- Own the design of major security tooling and infrastructure
- Define development roadmaps and own key deliverables
- Interact directly with Security Engineers to convert their vision into technical solutions
- Use ML and Generative AI tools like Amazon SageMaker and Amazon Bedrock
- Analyze and extract relevant information from large amounts of historical data
- Work closely with science and engineering teams
- Mentor junior team members
Requirements For ML Engineer, Devices and Services Security
- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture experience
- Experience programming with at least one software programming language
- Bachelor's degree in computer science or equivalent
- 2+ years of experience developing and deploying large scale machine learning models
- Experience with batch and real-time data processing
Benefits For ML Engineer, Devices and Services Security
- Comprehensive medical benefits
- Financial benefits
- Training and career development resources
- Work-life harmony focus
Jobs Related To Amazon ML Engineer, Devices and Services Security
