Applied Scientist, Alexa Enterprise
Role overview
Are you excited about building at the intersection of enterprise AI and customer experience? Are you passionate about applying science to real customer problems? Do you want your work shaped by real-world conditions and validated through customer deployments? The Alexa Enterprise team is looking for a passionate, talented, and inventive Applied Scientist with a strong background in speech and audio machine learning who thrives in a startup-style environment.
In this role, you’ll develop and apply scientific techniques to improve speech-to-text accuracy for domain-specific use cases and optimize the performance and latency of end-to-end audio pipelines. You’ll work across model evaluation and selection, fine-tuning, data and evaluation strategies, and real-time inference optimization. You’ll partner closely with software engineers to turn scientific advances into production capabilities, while working with enterprise customers to understand how speech and audio systems perform in their environments. The improvements inspired by one customer’s needs become capabilities that serve many.
We’re a small, fast-moving team building AI-powered solutions at the intersection of Alexa AI capabilities and AWS cloud services. Our customers span healthcare, energy, retail, and insurance, and they’re deploying in environments where the technical challenges are real and the feedback loops are immediate.
Responsibilities
- check_circle Develop and apply modeling techniques to improve speech-to-text accuracy for domain-specific use cases and real-world operating conditions
- check_circle Evaluate, select, adapt, and fine-tune speech and audio models based on accuracy, latency, cost, reliability, and deployment constraints
- check_circle Improve the performance and latency of end-to-end audio pipelines, from signal processing and streaming through inference and transcription
- check_circle Design datasets, benchmarks, experiments, and evaluation methodologies that reflect customer use cases
- check_circle Optimize models and inference pipelines for reliable, real-time operation
- check_circle Work directly with enterprise customers to understand quality challenges, validate scientific improvements, and identify opportunities for broader platform capabilities
- check_circle Turn patterns from customer engagements into reusable models, evaluation methods, and scientific capabilities that scale across customers and industries
- check_circle Collaborate with software engineers to productionize models, measure their performance, and continuously improve deployed systems
- check_circle Write scientific and technical documents, lead reviews, and communicate experimental results and trade-offs to engineering, product, and business stakeholders
- check_circle Contribute to the team’s scientific direction, mentor teammates, participate in hiring, and improve science and engineering processes
Basic qualifications
- 3+ years of building models for business application experience
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- Experience programming in Java, C++, Python or related language
- Knowledge of standard speech and machine learning techniques
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
Preferred qualifications
- Have publications at top-tier peer-reviewed conferences or journals
- 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
- Experience optimizing speech or audio models for real-time, low-latency production systems
Benefits
- check_circle Health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
- check_circle 401(k) matching
- check_circle Paid time off
- check_circle Parental leave
About the company
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. Applied Scientists on the team have real ownership, from identifying and framing customer problems through experimentation, production integration, and measurement of customer impact. This is an opportunity to solve meaningful scientific problems while helping shape a platform in its early stages.
Tags & Focus Areas
About Amazon.com
Amazon is looking for an AI Content Expert II to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand AGI's Large Language Models' (LLMs) capabilities. Key job responsibilities As an AI Content Expert, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case. You wi...
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