Senior Applied Scientist, Enterprise Speech & Audio

Socket.dev

Boston (MA)

On-site

USD 167,000 - 260,000

Full time

6 days ago
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Benefits offered by this job

Health insurance
RSUs
Sign-on bonus
401(k) matching
Paid time off

Job summary

Amazon's Alexa Enterprise team seeks a Senior Applied Scientist with expertise in speech and audio ML. You will set scientific direction, lead model evaluation and fine-tuning, and optimize end-to-end audio pipelines for real-time transcription across domain-specific use cases.

You will work with engineers and customers to deploy scalable solutions. The role combines research excellence with production impact, mentoring teams, and contributing to platform capabilities across healthcare, retail,

Qualifications

  • 3+ years building ML models for business applications.
  • PhD or Master’s with 6+ years of applied research.
  • Experience programming in Java, C++, Python or related language.
  • Experience with neural deep learning methods and ML techniques.

Responsibilities

  • Set scientific direction for speech-to-text accuracy across domains.
  • Lead evaluation, adaptation, and fine-tuning of speech and audio models.
  • Improve end-to-end audio pipeline performance and latency.
  • Define datasets, benchmarks, and evaluation methodologies reflecting customer use cases.
  • Lead model and inference optimization for reliable real-time operation.
  • Collaborate with enterprise customers to validate improvements.

Skills

Java
C++
Python
Deep learning

Education

PhD or Master’s +6 years

Job description

Amazon's Alexa Enterprise team seeks a Senior Applied Scientist with expertise in speech and audio ML. You will set scientific direction, lead model evaluation and fine-tuning, and optimize end-to-end audio pipelines for real-time transcription across domain-specific use cases.

You will work with engineers and customers to deploy scalable solutions. The role combines research excellence with production impact, mentoring teams, and contributing to platform capabilities across healthcare, retail,

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