Sr. Applied Scientist, Alexa Enterprise

What you'll do

• Set scientific direction and lead model evaluation, adaptation, fine-tuning, and inference optimization for speech and audio systems.
• Define customer-relevant datasets and evaluation methods; work with enterprise customers to validate improvements and identify reusable capabilities.
• Partner with engineering to productionize and measure deployed systems, communicate results, and mentor scientists and engineers.

What they ask for

• 3+ years of building machine learning models for business application experience.
• PhD, or Master's degree and 6+ years of applied research experience.
• Experience programming in Java, C++, Python or related language.
• Experience with neural deep learning methods and machine learning.

Nice to have

• Experience applying machine learning to speech or audio processing, including generative models, speech enhancement, source separation, or related applications.
• Familiarity with voice-processing techniques such as beamforming, acoustic echo cancellation, and noise reduction.

Pay

USD 192,200.00 - 260,000.00 annually base salary; USD 167,100.00 - 226,100.00 annually base salary

Tools

Java, C++, Python, AWS cloud services

AI focus

Applied speech and audio machine learning, including domain-specific speech-to-text accuracy, model evaluation and fine-tuning, real-time inference optimization, and evaluation strategies.