Lead Principal Scientist, Real-Time Multimodal AI

Amazon

Seattle (WA)

On-site

USD 199,000 - 269,000

Full time

14 days+
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Benefits offered by this job

Health insurance
401(k) matching
Paid time off

Job summary

Amazon seeks a Principal Applied Scientist to lead real-time multimodal conversational AI research from pre-training to real-time deployment. You will design scalable models for speech, text, and audio, and develop post-training methods to ensure natural, responsive conversations at scale.

The role requires a PhD and 10+ years in the field, with experience training large foundation models and leading research teams toward production-ready solutions.

Qualifications

  • PhD in Electrical Engineering, Computer Science, Mathematics or related field.
  • 10+ years of industrial or academic work building speech recognition and NLP systems.
  • Hands-on experience training large-scale foundation models.

Responsibilities

  • Build and train large-scale multimodal foundation models for real-time speech and audio generation.
  • Advance scaling and efficiency of conversational modes with real-time performance.
  • Design architectures considering hardware constraints and production deployment.
  • Develop post-training methods: reward modeling and RL alignment for real-time outputs.
  • Ship research to production at scale with real users.

Skills

PhD in EE/CS/math
10+ years experience
foundation models
multimodal architectures
transformer architectures
research leadership

Education

PhD in Electrical Engineering, Computer Science, Mathematics

Tools

Large-scale training
RL/ RLHF

Job description

Amazon seeks a Principal Applied Scientist to lead real-time multimodal conversational AI research from pre-training to real-time deployment. You will design scalable models for speech, text, and audio, and develop post-training methods to ensure natural, responsive conversations at scale.

The role requires a PhD and 10+ years in the field, with experience training large foundation models and leading research teams toward production-ready solutions.

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