Senior Applied Scientist, Enterprise Speech AI

Amazon; Seattle (WA); On-site; USD 167,000 - 226,000; Full time

Job summary

Amazon in Seattle is seeking a Senior Applied Scientist to advance speech and audio machine learning for Alexa Enterprise. You will set scientific direction, lead model evaluation and optimization, and partner with software engineers to productionize AI capabilities for enterprise customers.

You will drive end-to-end audio pipelines, balance accuracy and latency, and define evaluation frameworks that reflect real-world use cases.

Qualifications

• 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

Responsibilities

• Set the scientific direction for improving speech-to-text accuracy across domain-specific use cases and real-world operating conditions
• Lead the evaluation, selection, adaptation, and fine-tuning of speech and audio models based on accuracy, latency, cost, reliability, and deployment constraints
• Drive improvements to the performance and latency of end-to-end audio pipelines, from signal processing and streaming through inference and transcription
• Define datasets, benchmarks, experiments, and evaluation methodologies that reflect customer use cases
• Lead the optimization of models and inference pipelines for reliable, real-time operation
• Work directly with enterprise customers to understand quality challenges, validate scientific improvements, and identify opportunities for broader platform capabilities
• Turn patterns from customer engagements into reusable models, evaluation methods, and scientific capabilities that scale across customers and industries
• Influence and collaborate with software engineering and partner teams to productionize models, measure their performance, and continuously improve deployed systems
• Write scientific and technical documents, lead reviews, and communicate experimental results and trade-offs to engineering, product, and business leaders
• Mentor Applied Scientists and engineers, participate in hiring, and raise the team's science and engineering standards

Skills

Speech & Audio ML

Java

C++

Python

Deep learning

Model evaluation

Education

PhD or MS in a relevant field

Job description

Amazon in Seattle is seeking a Senior Applied Scientist to advance speech and audio machine learning for Alexa Enterprise. You will set scientific direction, lead model evaluation and optimization, and partner with software engineers to productionize AI capabilities for enterprise customers.

You will drive end-to-end audio pipelines, balance accuracy and latency, and define evaluation frameworks that reflect real-world use cases.