Amazon ASIC Design Engineer Blink/Ring Team Blink 

United States, Massachusetts 

878860255

AWS Commerce Platform International Expansion team is looking for a passionate, talented, and inventive Applied Scientist with a strong machine learning background to help build industry-leading language technology. This is a critical role for SoR Auto Scoping Service (SoRAS) to deliver AI driven requirement understanding and enable AWS to accelerate our international expansion.
Key job responsibilities
As an Applied Scientist in AWS International Expansion, you will be a scientific leader driving innovation in AI-driven compliance solutions across the globe, leveraging your expertise in machine learning and natural language processing. You'll design novel solutions for complex regulatory challenges while optimizing data infrastructure through vector data stores evaluation and industry-leading embedding techniques for compliance processing. Taking ownership of critical components, you'll develop scalable, production-grade AI systems with robust evaluation frameworks and conduct thorough analyses of LLM performance. You'll make strategic trade-offs between immediate business needs and long-term technological advancement, while establishing engineering best practices and continuously enhancing system performance through iterative feedback loops. Your influence will extend across teams as you explore innovative approaches to knowledge representation and drive discussions with stakeholders. Through active participation in the broader AI research community, staying at the forefront of emerging technologies, and leadership in technical documentation, you'll foster collaboration between research and engineering teams to ensure successful deployment of scientific innovations in AI governance and compliance generation processes.About the team
Utility Computing (UC)
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
About AWSInclusive Team CultureWork/Life BalanceMentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

- 3+ years of building machine learning models for business application experience
- PhD, or Master's degree and 6+ years of applied research experience
- Experience programming in Java, C++, Python or related language
- Experience with neural deep learning methods and machine learning