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Senior Machine Learning Engineer

NICE·US·USA - Sandy, UT·senior
ml
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At NiCE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you. So, what's the role all about? 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 role is primarily concerned with rigorous measurement: designing test suites, running comparative evaluations, and producing actionable recommendations on model selection and configuration. The Senior Machine Learning Engineer monitors the rapidly evolving speech AI landscape to identify state-of-the-art transcription and speech-to-speech models for evaluation. You will design and maintain a speech-oriented test suite that covers quality, cost, and latency, and develop techniques to optimize model usage for operational deployment. This role requires deep expertise in speech AI systems, strong quantitative skills, and the discipline to produce reliable, reproducible evaluation results. How will you make an impact? 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, tex

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