Senior AI/ML Engineer (AGI ), AGI Vertical Service Inference & Engine

Want to work on one of the coolest and most innovative pieces of LLM technology in recent years?
Come join us! We're the AGI vertical services at Amazon. We build best-in-class LLM inference engine and create magical experiences on Amazon's growing portfolio of multi modal LLM products. We're the team that built Alexa's voice, which powers millions of Echo devices across the globe.
We are looking for a passionate and experienced Machine Learning Engineer to join us . If you want to solve complex problems that push the boundary of speech technologies, this position is for you. If you love creating brand new customer experiences with your software expertise, this position is for you. If you enjoy a collaborative environment, working with amazing engineers and scientists, this position is for you.
As a Machine Learning Engineer in AGI vertical services , you will work with talented peers on low-latency distributed systems in the latest generative speech technology. Your work will be characterized by high scale, complexity and the need for invention. You'll need to be passionate about distributed systems and understand how technology translates into customer experience. You will directly impact our customers and change the landscape of voice-based interactions. You can see and hear your code making a difference. How cool is that?

Basic Qualifications

- Experience as a mentor, tech lead or leading an engineering team
- Experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems
- Experience programming with at least one modern language such as Java, C++, or C# including object-oriented design
- Experience in professional, non-internship software development
- Experience in development in the last 3 years

Preferred Qualifications

- Bachelor's degree in computer science or equivalent
- Experience with full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations

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