Applied Scientist (Speech / Voice AI), Prime Video

Amazon.com Services LLC; Seattle (WA); On-site; USD 150,000 - 230,000; Full time

Job summary

Amazon.com Services LLC's Prime Video team seeks an experienced Applied Scientist in Speech/Voice AI to drive research in ASR, TTS, translation, and prosody modeling, delivering language-aware experiences for customers worldwide.

You will lead a team of applied scientists, shape roadmaps, and collaborate with product and engineering to scale dialogue enhancements and dubbing pipelines across Prime Video platforms.

Qualifications

• 3+ years building models for business applications.
• PhD or Master's with 4+ years in CS/CE/ML.
• Experience programming in Java, C++, Python.
• Experience developing deep learning algorithms in computer vision.

Responsibilities

• Lead research direction for speech AI and accessibility.
• Define roadmaps and communicate impact to senior leadership.
• Collaborate with product and engineering to deploy scalable solutions.

Skills

Model building for business apps

Deep learning for CV/AI

Java / C++ / Python

Education

PhD in CS/CE/ML

Master's in CS/CE/ML

Tools

Unix/Linux

Job description

Applied Scientist (Speech / Voice AI), Prime Video

Prime Video is a first-stop entertainment destination offering customers a vast collection of premium programming in one app available across thousands of devices. Prime members can customize their viewing experience and find their favorite movies, series, documentaries, and live sports – including Amazon MGM Studios-produced series and movies; licensed fan favorites; and programming from Prime Video subscriptions such as Apple TV+, HBO Max, Peacock, Crunchyroll and MGM+. All customers, regardless of whether they have a Prime membership or not, can rent or buy titles via the Prime Video Store, and can enjoy even more content for free with ads.

Are you interested in shaping the future of entertainment? Prime Video's technology teams are creating best-in-class digital video experience.

As a Prime Video team member, you'll have end-to-end ownership of the product, user experience, design, and technology required to deliver state-of-the-art experiences for our customers. You'll get to work on projects that are fast-paced, challenging, and varied. You'll also be able to experiment with new possibilities, take risks, and collaborate with remarkable people.

We'll look for you to bring your diverse perspectives, ideas, and skill-sets to make Prime Video even better for our customers. With global opportunities for talented technologists, you can decide where a career Prime Video Tech takes you!

Key job responsibilities

As a highly experienced science leader in speech and audio processing, you will apply state-of-the-art research in automatic speech recognition, voice synthesis, speech translation, and prosody modeling to make content sound great in every language, powering features like Dialogue Boost, AI-Assisted Dubbing, and Automated Audio Descriptions.

You will lead the research direction for a team of deeply talented applied scientists working at the intersection of speech AI and accessibility, defining roadmaps that advance our capabilities in dialogue enhancement, hybrid AI-human dubbing pipelines, and dialect adaptation at scale. You will communicate these roadmaps effectively to senior leadership, connecting technical breakthroughs to customer impact.

About the team

The Prime Video - Content Reasoning, Enrichment & Localization Team's mission is to deeply understand all content and empower all customers with relevant language options, innovative accessibility assists, and rich title-information across all their content-experiences on Prime Video. We create and publish content on-time that's meaningful, accurate, and accessible to every customer globally. We delight our customers by pushing the boundaries of content understanding and enrichment. Through inclusion and innovation, we do the most fulfilling work of our career.

Basic Qualifications

• 3+ years of building models for business application experience
• PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
• Experience programming in Java, C++, Python or related language
• Experience developing and implementing deep learning algorithms, particularly with respect to computer vision algorithms

Preferred Qualifications

• Experience using Unix/Linux
• Experience in professional software development
• Have publications at top-tier peer-reviewed conferences or journals