> Markdown version of [/jobs/ext/4583777-sr-applied-scientist-alexa-enterprise](https://www.wearedevelopers.com/jobs/ext/4583777-sr-applied-scientist-alexa-enterprise). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Sr. Applied Scientist, Alexa Enterprise - **Company:** Amazon.com, Inc. - **Location:** Seattle, WA, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Alexa, Amazon Web Services, Data Analysis, Machine Learning, Performance Tuning, Cloud Services, Signal Processing, Software Engineering, Real Time Systems - **Published:** November 5, 2026 - **Apply:** https://www.careerbuilder.com/job-details/sr-applied-scientist-alexa-enterprise-seattle-wa--e865fa32-3ad2-463e-b7e3-49f7f6596092 ## About the Role Amazon Alexa, Startup, Customer Experience, Machine Learning, Artificial Intelligence (AI), Amazon Alexa, Use Cases, Software Engineering, Performance Tuning/Optimization, Data Analysis ## Description * 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 About the team The Alexa Enterprise team builds AI-powered solutions for businesses. We work with enterprise customers across healthcare, energy, retail, and insurance to deploy solutions that transform operations. Our team operates at the intersection of Alexa AI capabilities and AWS cloud services, partnering closely with AWS sales, product, and specialist teams to deliver customer outcomes. Our work brings together applied AI, speech and audio science, real-time systems, and cloud services. Senior Applied Scientists on the team have real ownership, from identifying and framing customer problems through setting scientific direction, experimentation, production integration, and measurement of customer impact. This is an opportunity to lead meaningful scientific work while helping shape a platform in its early stages.