Senior Applied Scientist — Enterprise Speech & AI

Amazon Inc.; Bellevue (WA); Híbrido; USD 167.000 - 260.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Health insurance

401(k) matching

Paid time off

Parental leave

Descripción de la vacante

Amazon is seeking a Senior Applied Scientist with a strong background in speech and audio ML to set scientific direction and lead the development of techniques that improve speech-to-text accuracy for domain-specific use cases and optimize end-to-end audio pipelines.

You will partner with software engineers to productionize models, work with enterprise customers to understand quality challenges, and translate customer needs into platform capabilities while mentoring junior scientists and

Formación

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

Responsabilidades

• 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

Conocimientos

Java

C++

Python

Neural networks

Machine learning

Educación

PhD, or Master’s + 6+ yrs applied research

Descripción del empleo

Amazon is seeking a Senior Applied Scientist with a strong background in speech and audio ML to set scientific direction and lead the development of techniques that improve speech-to-text accuracy for domain-specific use cases and optimize end-to-end audio pipelines.

You will partner with software engineers to productionize models, work with enterprise customers to understand quality challenges, and translate customer needs into platform capabilities while mentoring junior scientists and