We are looking for a Senior Applied Scientist to help drive the research and development of real-time multimodal conversational AI. You will contribute across two focus areas: advancing foundation ...
We are looking for a Senior Applied Scientist to help drive the research and development of real-time multimodal conversational AI. You will contribute across two focus areas: advancing foundation ...
We are looking for a Senior Applied Scientist to help drive the research and development of real-time multimodal conversational AI. You will contribute across two focus areas: advancing foundation ...
We are looking for a Senior Applied Scientist to help drive the research and development of real-time multimodal conversational AI. You will contribute across two focus areas: advancing foundation ...
We are looking for a Principal Applied Scientist to drive the research and development of real-time multimodal conversational AI. You will operate across two focus areas: advancing foundation models ...
We are looking for a Principal Applied Scientist to drive the research and development of real-time multimodal conversational AI. You will operate across two focus areas: advancing foundation models ...
We are looking for a Principal Applied Scientist to drive the research and development of real-time multimodal conversational AI. You will operate across two focus areas: advancing foundation models ...
We are looking for a Principal Applied Scientist to drive the research and development of real-time multimodal conversational AI. You will operate across two focus areas: advancing foundation models ...
We are looking for a Senior Applied Scientist to help drive the research and development of real-time multimodal conversational AI. You will contribute across two focus areas: advancing foundation ...
We are looking for a Senior Applied Scientist to help drive the research and development of real-time multimodal conversational AI. You will contribute across two focus areas: advancing foundation ...
We are looking for a Principal Applied Scientist to drive the research and development of real-time multimodal conversational AI. You will operate across two focus areas: advancing foundation models ...
We are looking for a Principal Applied Scientist to drive the research and development of real-time multimodal conversational AI. You will operate across two focus areas: advancing foundation models ...
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Flex Time Conversational Ai information
See salary details
$16.83 - $20.32
10% of jobs
$21.10 is the 25th percentile. Wages below this are outliers.
$20.32 - $23.82
66% of jobs
$23.82 - $27.32
7% of jobs
$27.32 - $30.81
2% of jobs
$30.81 - $34.31
1% of jobs
$34.31 - $37.81
6% of jobs
$37.81 - $41.30
0% of jobs
$41.30 - $44.80
0% of jobs
$44.80 - $48.30
0% of jobs
$48.30 - $51.79
0% of jobs
$51.79 - $55.29
7% of jobs
$16
$28
$55
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Full-time
Posted 17 days ago
Amazon rating
7.4
Based on 7,111 frontline employees who took The Breakroom Quiz
6th of 39 rated national retailers
Job description
We are looking for a Senior Applied Scientist to help drive the research and development of real-time multimodal conversational AI. You will contribute across two focus areas: advancing foundation models for speech and audio, and building the post-training systems (reward modeling, reinforcement learning) that shape natural, human-like conversational behavior.
You will own a significant research area and contribute across the full model lifecycle - from pre-training and architecture design through post-training alignment and real-time deployment.
You will work at the frontier of what's possible in conversational AI, with the compute, data, and runway to pursue problems that few teams in the world have the resources to tackle.
As a Senior Scientist, you will drive the technical execution of your research area, contribute to the team's roadmap, and work closely with inference engineers to ensure your models are designed for real-time production deployment.
Key job responsibilities
What You'll Do
Foundation Model Scaling
- Help build and train large-scale multimodal foundation models for real-time speech and audio generation, from architecture design through production-scale training
- Advance the scaling and efficiency of conversational models, including the relationship between data, model size, and real-time performance
- Design model architectures informed by hardware constraints and inference requirements, working with inference engineers to ensure models are servable from inception
- Develop training methodologies for multimodal models that jointly process and generate speech, language, and audio in real-time streaming contexts
- Contribute to the state of the art on efficient architectures and training methods for conversational AI at scale
Post-Training & Reinforcement Learning
- Design and build reward models and reward functions for speech systems - capturing naturalness, fluency, conversational quality, and real-time responsiveness
- Develop and apply reinforcement learning methods to shape conversational behavior - teaching models natural timing, responsiveness, and fluid interaction
- Build parts of the post-training pipeline from SFT through RL alignment, optimized for real-time multimodal outputs rather than text-only generation
- Design evaluation frameworks that capture the quality dimensions unique to real-time conversation (latency sensitivity, audio quality, prosody, interaction naturalness)
Real-Time Perception & Generation
- Advance the team's capabilities in real-time perception - the ability of the model to process incoming audio/speech while simultaneously generating responses
- Develop techniques for natural interactive systems where the model handles concurrent input and output with human-like timing
- Work at the intersection of model architecture and production constraints to ensure multimodal capabilities function within hard real-time latency budgets .
About Amazon
Sourced by ZipRecruiter
Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.
Industry
It services, book publishers, retail, real estate, computer and electronic product manufacturing and software development
Company size
10,000+ Employees
Headquarters location
Seattle, WA, US