Applied Scientist, Alexa Enterprise

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 youll 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. Youll work across model evaluation and selection fine-tuning data and evaluation strategies and real-time inference optimization. Youll 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 customers needs become capabilities that serve many.

Were 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 theyre deploying in environments where the technical challenges are real and the feedback loops are immediate.

Key job responsibilities
- Develop and apply modeling techniques to improve speech-to-text accuracy for domain-specific use cases and real-world operating conditions
- Evaluate select adapt and fine-tune speech and audio models based on accuracy latency cost reliability and deployment constraints
- Improve the performance and latency of end-to-end audio pipelines from signal processing and streaming through inference and transcription
- Design datasets benchmarks experiments and evaluation methodologies that reflect customer use cases
- Optimize 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
- Collaborate with software engineers 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 stakeholders
- Contribute to the teams scientific direction mentor teammates participate in hiring and improve science and engineering processes

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. 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.

- 3 years of building models for business application experience
- PhD or Masters 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

- 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

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees supervisors and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees supervisors and staff to ensure exceptional customer service; and follow all federal state and local laws and Company policies. Criminal history may have a direct adverse and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above as well as the abilities to adhere to company policies exercise sound judgment effectively manage stress and work safely and respectfully with others exhibit trustworthiness and professionalism and safeguard business operations and the Companys reputation. Pursuant to the Los Angeles County Fair Chance Ordinance we will consider for employment qualified applicants with arrest and conviction records.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience qualifications and location. Amazon also offers comprehensive benefits including 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) 401(k) matching paid time off and parental leave. Learn more about our benefits at CA Sunnyvale - 171600.00 - 222200.00 USD annually
USA WA Seattle - 142800.00 - 193200.00 USD annually