Job ID: 2668143 | AMZN Dev Cntr Poland sp. z.o.o - C35
Want to work on cutting-edge Text-To-Speech (TTS) technology powering GenAI experiences via Alexa and AWS Polly? Join our MLOps team for TTS at Amazon!
We build and maintain the infrastructure and tooling that enable our Scientists to work on state-of-the-art TTS models. We support the entire machine learning lifecycle, including: data preparation, model training, inference, evaluation, release and deployment.
Specifically, we are seeking a passionate Software Engineer who is: 1) capable of designing and building scalable and reliable AWS cloud solutions in collaboration with other Engineers; 2) willing to collaborate closely with Scientists to understand their workflows in depth and optimize for their needs.
If you thrive in ambiguous environments at the intersection of software engineering and machine learning, this position is for you!
Join us and be part of the team shaping the future of speech synthesis, enabling new and exciting GenAI experiences for millions of users worldwide.
BASIC QUALIFICATIONS
- BS in Computer Science or equivalent experience
- Proficiency in at least one modern programming language (Java, C/C++, C#)
- Experience with Linux/Unix systems and fluent shell interaction
- 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 software development lifecycle (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 committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
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