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 Software Development 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. - BS/MS in Computer Science or equivalent experience
- Be flexible in delivering solutions in dynamic environment
- Be familiar with working with science , engineering and product teams
-ML engineering experience in development of LLMs
- Proficiency in at least one modern programming language (Java, C/C++, C#)
- Proficiency in at least one scripting language (Python, Ruby, Perl)
- Experience with Linux/Unix systems and Bash scripting
- Solid knowledge of CS fundamentals (algorithms, data structures)
- Professional communication skills and ability to contribute to team discussions
- English language working proficiency Experience with various processes in the full SDLC (coding standards, code reviews, source control, build systems, integration and deployment, maintenance, updates, etc.)
- Distributed systems - Experience with both front-end and back-end
- Efficient technical communication with peers and non-technical cohorts
- Experience building and deploying LLMs
- Experience in NLP, deep learning
- Experience with end-to-end agile software development
- ML operations experience
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