Applied Scientist — Enterprise Speech AI (RSUs)

Socket.dev; Boston (MA); Hybrid; USD 140,000 - 220,000; Full time

Job summary

Amazon’s Alexa Enterprise team is seeking an Applied Scientist with a strong background in speech and audio machine learning to improve speech-to-text accuracy for domain-specific use cases and optimize end-to-end audio pipelines.

You will collaborate with software engineers and enterprise customers to turn scientific advances into production capabilities, delivering scalable solutions across industries such as healthcare, energy, retail, and insurance.

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, 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

Speech/Audio ML

Modeling

Java/C++/Python

Education

PhD or Master’s in CS/CE/ML

Tools

Java

C++

Python

Job description

Amazon’s Alexa Enterprise team is seeking an Applied Scientist with a strong background in speech and audio machine learning to improve speech-to-text accuracy for domain-specific use cases and optimize end-to-end audio pipelines.

You will collaborate with software engineers and enterprise customers to turn scientific advances into production capabilities, delivering scalable solutions across industries such as healthcare, energy, retail, and insurance.