Overview

Machine Learning Engineer (AGI ), AGI Vertical Service Inference & Engine at Amazon. Join to apply for the Machine Learning Engineer (AGI ), AGI Vertical Service Inference & Engine role at Amazon.

We build best-in-class LLM inference engine and create magical experiences on Amazons growing portfolio of multimodal LLM products. We’re the team that built Alexas 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 will directly impact our customers and change the landscape of voice-based interactions. You can see and hear your code making a difference.

Responsibilities

• Work on low-latency distributed systems in the latest generative speech technology.
• Contribute to high-scale, complex systems and drive invention to improve customer experiences.

Basic Qualifications

• 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

Preferred Qualifications

• 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 with end-to-end agile software development

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.