Enterprise AI Speech Scientist — Real-Time Inference

Amazon; Seattle (WA); On-site; USD 143,000 - 193,000; Full time

Benefits offered by this job

Health insurance

RSUs

401(k) matching

Paid time off

Job summary

Amazon’s Alexa Enterprise team seeks an Applied Scientist with a strong background in speech and audio ML to advance domain-specific speech-to-text accuracy and real-time audio pipelines. You will design experiments, evaluate models, and work with software engineers to productionize advances for enterprise customers across healthcare, energy, retail, and insurance.

You’ll operate in a fast-moving environment, handling data-driven evaluation, latency optimization, and scalable scientific

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 algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing.

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 team’s scientific direction, mentor teammates, participate in hiring, and improve science and engineering processes

Skills

Model building

Programming languages (Java/C/Python)

Speech/ML techniques

Algorithms & data structures

Education

PhD or MS in CS/CE/ML or related field

Job description

Amazon’s Alexa Enterprise team seeks an Applied Scientist with a strong background in speech and audio ML to advance domain-specific speech-to-text accuracy and real-time audio pipelines. You will design experiments, evaluate models, and work with software engineers to productionize advances for enterprise customers across healthcare, energy, retail, and insurance.

You’ll operate in a fast-moving environment, handling data-driven evaluation, latency optimization, and scalable scientific