Applied Scientist II, Text-to-Speech on Device team

Amazon Science; Województwo pomorskie; On-site; PLN 208,000 - 249,000; Full time

Benefits offered by this job

Pension plans

Health insurance

Life insurance

Disability insurance

MultiSport card

Employee assistance program

Job summary

Amazon Science is seeking an Applied Scientist to research and develop production-ready speech generation models optimized for constrained on-device environments. You will guide the full model lifecycle from experimentation to integration on real devices, aiming to improve offline voice experiences across devices.

The role requires a PhD in a quantitative field and experience with cutting-edge deep learning, model optimization, and on-device deployment.

Qualifications

• PhD in engineering, computer science, mathematics or equivalent quantitative field.
• Experience applying theoretical models in an applied environment.
• Experience with state-of-the-art deep learning architectures and optimization.

Responsibilities

• Design and develop end-to-end ML models for on-device speech generation.
• Research generative AI, model compression, and distillation for constrained hardware.
• Propose and validate scientific approaches with detailed specs and publications when appropriate.
• Evaluate model performance and iterate training/inference pipelines for quality and efficiency.
• Collaborate with cloud and device teams to deploy research prototypes into product experiences.

Skills

Python

Java

C++

Deep learning

ML knowledge

Education

PhD in engineering

PhD in computer science

PhD in mathematics

Tools

TensorFlow

PyTorch

Job description

Description

Have you ever wondered how we give voice to devices — even when they're offline? The Text-to-Speech on Device team at Amazon builds AI-powered voice models that run locally on hardware with limited resources, serving customers across Alexa, automotive, and accessibility experiences for visually impaired users. We sit at the intersection of speech generation, generative AI, and on-device machine learning, and we're looking for a curious, collaborative Applied Scientist to help us push what's possible.

In this role, you will research and develop production-ready speech generation models optimized for constrained environments. You will work across the full model lifecycle — from early experimentation and prototyping through to integration on real devices. If you're excited about solving hard scientific problems that directly improve how millions of people interact with technology, we'd love to hear from you.

Key job responsibilities

• Design and develop end-to-end machine learning models for on-device speech generation, from early research and experimentation through production-ready deployment.
• Research and apply advanced techniques in generative AI, model compression, and knowledge distillation to deliver high-quality voice models within tight hardware constraints.
• Propose and validate novel scientific approaches by authoring detailed technical specifications and contributing to peer-reviewed publications when appropriate.
• Evaluate model performance rigorously, identify improvement opportunities, and iterate on training and inference pipelines to optimize quality and efficiency.
• Collaborate with science and engineering teams across cloud and device platforms to bring speech generation capabilities from research prototypes to integrated product experiences.

About The Team

The Text-to-Speech on Device team builds low-footprint AI models for speech generation that run locally on devices such as Android and FireOS platforms. Our models require significantly less computation than cloud-hosted alternatives, enabling offline voice experiences for Alexa, automotive partners, and accessibility solutions. We work closely with device engineering teams and cloud-based speech science teams to deliver the best possible experience for our customers. Our focus in the coming years is expanding the range of voices and languages we support while continuing to improve naturalness and efficiency on constrained hardware.

Basic Qualifications

• PhD in engineering, computer science, machine learning, mathematics or equivalent quantitative field
• Experience applying theoretical models in an applied environment
• Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning
• Experience implementing algorithms using toolkits and self-developed code
• Experience with programming languages such as Python, Java, C++

Preferred Qualifications

• Experience with model optimization techniques (quantization, distillation, compression, inference optimization etc.)
• Experience in professional software development
• Experience with Speech Generation models
• Experience working with agile development methodologies
• Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients

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.

The minimum gross base salary for this position is listed below. The base salary listed corresponds to working on a full-time basis. For part-time hours, the salary will be pro-rated.

Amazon reserves the right to offer a higher base salary, depending on the candidate's skills, competencies, and experience. Amazon's package may include a sign on payment. In addition, the candidate may be eligible to participate in a restricted stock unit scheme operated independently by Amazon.com Inc. in USA. Your recruiting team will share final salary and any restricted stock unit scheme if applicable, depending on skills and requirements.

Company supplementary benefits apply subject to further terms, including pension plans, health insurance, life and disability insurance, business travel insurance, MultiSport card, employee discount code and program (EDC/Extras), and the Employee Assistance Program (private and confidential counselling and referral service to support health and well-being).

See below the minimum gross base salary for this position:

Gdansk, POL - 20,508.33 PLN Monthly