AI Speech Generation Engineer for Mobile Platforms
1 miesiąc temu
About the Job
We are seeking a skilled Software Development Engineer to join our team at AMZN Dev Cntr Poland sp. z.o.o. in developing AI-based voice models for mobile devices.
Job Description
As an AI Speech Generation Engineer, you will be responsible for end-to-end development of machine learning models for speech generation on embedded systems. You will work with our team to integrate ML speech generation models with Android and FireOS platforms, collaborating with science teams to bring state-of-the-art TTS models from research into production.
Responsibilities
- Develop and implement AI-based voice models for mobile devices using machine learning technologies.
- Collaborate with cross-functional teams to integrate ML speech generation models with embedded systems.
- Work with new technologies including AWS services to design, build, and deploy scalable and robust systems and tools.
- Solve complex problems with clean and practical code.
Requirements
- BS/MS in Computer Science, Electrical Engineering, Mathematics, or related technical field.
- Proficiency in modern programming languages (C++, Java, Python, etc.).
- Good understanding of machine learning models and latest developments in the area.
- Solid knowledge of computer science fundamentals (algorithms, data structures, and problem-solving).
Preferred Qualifications
- Experience with development for mobile platforms (Android/FireOS, ARM).
- Knowledge and experience with CI/CD systems and build automation.
- Good understanding of scripting languages (Python, Ruby, Perl) and Linux/Unix systems.
About Us
We are a dynamic team working on cutting-edge technology to provide innovative solutions for our customers. Our team is focused on delivering low-footprint AI models for speech generation that can work locally on devices, requiring much less computation power than cloud-hosted models.
What We Offer
- A competitive salary: $110,000 per year.
- Opportunities for professional growth and development.
- A collaborative and dynamic work environment.
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