Senior ML Engineer: Speech AI Research (Hybrid, Remote)

NICE; Sandy (UT); Hybrid; USD 140,000 - 190,000; Full time

Benefits offered by this job

NiCE-FLEX hybrid model

Global collaboration

Career growth opportunities

Job summary

NiCE is seeking a Senior Machine Learning Engineer to join NiCE Labs Research (NLR). You will own the evaluation and optimization of speech-oriented AI models, covering real-time transcription and speech-to-speech systems across languages.

This role focuses on rigorous measurement, test suites, and actionable model recommendations. You will monitor the evolving speech AI landscape, design and maintain a speech-oriented test suite, and develop techniques to optimize model usage for deployment.

Qualifications

• MS in computer science, electrical engineering, computational linguistics, or a related field with a focus on speech or audio processing.
• Three or more years of hands-on experience with speech AI systems, including ASR, TTS, or speech-to-speech models.
• Experience designing evaluation methodologies or test suites for AI systems.
• Strong quantitative and analytical skills, with experience producing rigorous benchmark results.
• LoRA/PEFT for speech models, inference optimization (quantization, SGLang/vLLM serving for audio, distillation), experience with at least one open-source TTS family.
• GPU cost modeling.
• Proficiency in Python and familiarity with speech processing libraries and tools.
• Experience with cloud-based infrastructure (AWS, Azure, or GCP).
• Ability to develop and maintain good working relationships with cross-functional teams.
• Ability to clearly communicate and present to internal and external stakeholders.

Responsibilities

• Design and maintain a speech-oriented test suite covering quality, cost, and latency across dozens of languages.
• Monitor the industry for new state-of-the-art transcription and speech-to-speech models to evaluate.
• Design and evaluate techniques to optimize speech model usage for operational deployment.
• Produce clear, quantitative evaluation reports and model recommendations for technical and non-technical stakeholders.
• Contribute to the broader model evaluation framework maintained by the NLR team.
• Stay informed of advances in speech AI, including transcription, text-to-speech, and speech-to-speech technologies.

Skills

Speech AI

Python

Cloud infra

LoRA/PEFT

Evaluation methodologies

GPU cost modeling

Benchmarking

Stakeholder communication

Cross-functional teamwork

Education

MS in CS/EE/Computational linguistics

Tools

ASR/TTS toolchains

Speech libraries

Open-source TTS

Job description

NiCE is seeking a Senior Machine Learning Engineer to join NiCE Labs Research (NLR). You will own the evaluation and optimization of speech-oriented AI models, covering real-time transcription and speech-to-speech systems across languages.

This role focuses on rigorous measurement, test suites, and actionable model recommendations. You will monitor the evolving speech AI landscape, design and maintain a speech-oriented test suite, and develop techniques to optimize model usage for deployment.