
Senior Software Engineer, Speech MLOps
at Amazon
Posted 9 hours ago
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- Not specified USD
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Join Amazon's Machine Learning Operations team to build and maintain the infrastructure and tooling for end-to-end ML lifecycles, focused on speech models powering GenAI experiences for Alexa and AWS Polly. You will design and build scalable, reliable ML infrastructure on AWS, and collaborate with scientists to translate research into production-ready systems. This role sits at the intersection of software engineering and ML, tackling novel challenges in a high-scale environment while accelerating model development from data preparation to deployment.
We build and maintain the infrastructure and tooling that enable our Scientists to work on state-of-the-art models. We own the entire machine learning lifecycle, including: data preparation, model training, inference, evaluation, release and deployment.
Specifically, we are seeking a passionate Machine Learning Engineer who is: 1) capable of designing and building scalable, reliable ML infrastructure on AWS, solving novel engineering challenges when no textbook solutions exist; 2) eager to collaborate with Scientists to understand their workflows and bring research innovations into production-ready systems.
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.
- Experience working along a science team to accelerate development.
Preferred Qualifications
- MLOps experience.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.

