NICE CXone

Senior Machine Learning Engineer

USA - Sandy, UT · Senior

Sponsorship not specifiedDetected 5 days ago

PythonAWSGCPAzureMachine LearningElectrical EngineeringResearch

About the role

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This role is primarily concerned with rigorous measurement: designing test suites, running comparative evaluations, and producing actionable recommendations on model selection and configuration.

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.
LoRA/PEFT for speech models, inference optimization (quantization, SGLang/vLLM serving for audio, distillation), experience with at least one open-source TTS family
Proficiency in Python and familiarity with speech processing libraries and tools.
Experience with cloud-based infrastructure (AWS, Azure, or GCP).
Ability to clearly communicate and present to internal and external stakeholders.
Experience evaluating speech models across multiple languages.
Familiarity with multi-cloud deployment across AWS, Azure, and Google Cloud.
Experience with model optimization techniques for speech systems, such as latency reduction or cost optimization.
Experience working on international, globe-spanning teams.

NiCE is looking for a Senior Machine Learning Engineer to join NiCE Labs Research (NLR), a team dedicated to model expertise and agent architecture for the Cognigy platform.
As Senior Machine Learning Engineer, you will own the evaluation and optimization of speech-oriented AI models - covering real-time transcription and speech-to-speech systems across dozens of languages.

This listing is sourced directly from NICE CXone's careers page and normalized into a canonical job model.