Senior Applied Scientist, Enterprise AI & Speech

Socket.dev; Boston (MA); Hybrid; USD 167,000 - 260,000; Full time

Benefits offered by this job

Health insurance

RSUs and equity incentives

401(k) with company match

Paid time off

Job summary

Amazon’s Alexa Enterprise team seeks a Senior Applied Scientist with a strong background in speech and audio ML to lead scientific direction and productionize models for domain-specific use cases. You’ll work with enterprise customers to improve ASR, optimize latency, and shape a scalable platform across industries.

The role emphasizes collaboration with software engineers, real-time inference, and measurable customer impact, with opportunities to mentor other scientists and contribute to

Qualifications

• 3+ years of building machine learning models for business application experience.
• PhD, or Master’s degree and 6+ years of applied research experience.
• Experience programming in Java, C++, Python or related language.
• Experience with neural deep learning methods and machine learning.

Responsibilities

• 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

Skills

Machine learning

Java

C++

Python

Deep learning

Education

PhD or Master’s + 6+ years applied research

Tools

Python

C++

Java

Job description

Amazon’s Alexa Enterprise team seeks a Senior Applied Scientist with a strong background in speech and audio ML to lead scientific direction and productionize models for domain-specific use cases. You’ll work with enterprise customers to improve ASR, optimize latency, and shape a scalable platform across industries.

The role emphasizes collaboration with software engineers, real-time inference, and measurable customer impact, with opportunities to mentor other scientists and contribute to