NICE

Senior Machine Learning Engineer

NICE
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30 days ago
Sandy, UT, USASenior / Mid Level
H1B Sponsor

Responsibilities

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

Requirements

  • MS in computer science, electrical engineering, computational linguistics, or a related field focused 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.
  • Proficiency in Python and familiarity with speech processing libraries and tools.
  • Experience with cloud-based infrastructure (AWS, Azure, or GCP).

Benefits

  • Flexible hybrid work model with 2 days in the office and 3 days remote each week.
  • Opportunities for internal career growth across multiple roles and disciplines.
  • Collaborative and creative work environment in a market-disrupting company.

Categories

AI & MLData Science
NICE

About NICE

5,001-10,000 employees

NiCE is transforming the world with AI that puts people first. Our purpose-built AI-powered platforms automate engagements into proactive, safe, intelligent actions, empowering individuals and organizations to innovate and act, from interaction to resolution. Trusted by organizations throughout 150+ countries worldwide, NiCE’s platforms are widely adopted across industries connecting people, systems, and workflows to work smarter at scale, elevating performance across the organization, delivering proven measurable outcomes.