Machine Learning Engineer, TTS Engine Full-time

Want to work on one of the coolest and most innovative pieces of technology in GenAI ?

Come join us! We’re the AGI Sensory & ML Builder – TTS (Text To Speech ) team at Amazon. We build best-in-class Gen AI speech synthesis technology and create magical experiences on Amazon’s growing portfolio of speech 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 Senior Software Development Engineer to join our force . If you want to solve complex problems in AGI 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.

A day in the life

As a Software Development Engineer in AGI text-to-speech, you will work with talented peers on low-latency distributed systems in the latest generative AI TTS 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 can see and hear your code making a difference. How cool is that?

BASIC QUALIFICATIONS

– BS/MS in Computer Science or equivalent experience

– 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

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