Job Description

The Artificial General Intelligence (AGI) team is looking for a passionate, talented, and inventive Applied Scientist with a strong deep learning background, to build industry-leading Generative Artificial Intelligence (GenAI) technology with Large Language Models (LLMs) and multimodal systems.

Our team builds multimodal foundation models for a wide range of applications in speech and audio domain. We partner with other teams to achieve state-of-the-art performance in speech technologies. We support product teams to deliver innovative conversational AI solutions to a broad set of customers and use cases.

What you'll do

As an Applied Scientist with the AGI team, you will work with talented peers to develop novel algorithms and modeling techniques to advance the state of the art of multi-modal LLMs and speech recognition technology. Your work will directly impact our customers in the form of products and services that make use of speech and language technology. You will leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate advances in conversational AI.

What we expect from you

• PhD, or a Master's degree and experience in CS, CE, ML or related field
• Experience programming in Java, C++, Python or related language
• Experience in patents or publications at top-tier peer-reviewed conferences or journals
• Experience with neural deep learning methods and machine learning

Nice to have

• Experience in building speech recognition, machine translation and natural language processing systems (e.g., commercial speech products or government speech projects)
• Experience in professional software development

What we offer

Amazon provides a range of benefits to its employees. Here are some of them that can be expected:

• Generous salary and performance package
• Employee shares program
• A discount on products sold on Amazon
• Relocation support and budget
• Great office location
• Accessibility
• Food allowance
• Company mobile phone
• Team building events
• Christmas bonus
• Professional training and courses
• Coaching
• Financial and legal advice
• Tuition fees coverage
• Home office and flexible work hours
• Paid time off
• 1 year sabbatical
• Comprehensive insurance package
• Corporate doctor
• Fitness courses