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Machine Learning - Machine Learning
Machine Learning - Machine LearningeTeam • Irvine, CA
Machine Learning - Machine Learning

Machine Learning - Machine Learning

eTeam • Irvine, CA
30+ days ago
Job type
  • Full-time
Job description

Title : Manager, Machine Learning

Location : Irvine, CA

Duration : Months

Job Description :

We are hiring a Manager, Machine Learning (MLE) to lead the development and operationalization of machine learning systems powering the Voice AI experience.

This role is central to ensuring performance, scalability, and reliability across real-time models that support speech, natural language understanding, and agent behavior.

You will manage a team of MLEs and partner with AI Engineers, QA, and DevOps to deliver high-quality agent performance with a strong focus on latency, integration with restaurant systems (, HME, POS), and production excellence.

Key Responsibilities

ML System Design & Architecture

  • Lead the design of end-to-end ML pipelines for speech, ASR, and NLU modules
  • Optimize model performance for real-time interaction, including latency, uptime, and inference cost
  • Implement and evolve model evaluation, testing, and monitoring frameworks

Infrastructure & Integration

  • Collaborate with engineering to integrate ML components with external systems (HME, menu boards, POS)
  • Support scalable deployment strategies across markets and environments
  • Drive MLOps best practices in CI / CD, rollback, logging, and observability
  • Leadership & Collaboration

  • Mentor and guide a team of MLEs and junior ML engineers
  • Partner with product, AI engineering, and QA to define technical scope, delivery targets, and quality standards
  • Support internal upskilling and technical review of AI-driven components
  • Required Qualifications

  • years of experience in machine learning, including at least years in technical leadership roles
  • Proven expertise in deploying NLP, ASR, or LLM-based systems in real-time applications
  • Strong programming skills in Python and ML tooling (, PyTorch, HuggingFace, ONNX, MLflow)
  • Experience optimizing model latency and integrating ML with backend infrastructure
  • Preferred Qualifications

  • Experience in QSR, retail, or voice-driven customer service environments
  • Background in integrating AI with physical systems (HME, POS, IoT)
  • Familiarity with LoRA, quantization, distillation, and model compression techniques
  • Location & Travel

  • This role is based in Irvine, CA
  • Hybrid work model : in-office – days per week required
  • Occasional travel to deployment sites or test locations may be needed
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    Machine Learning • Irvine, CA

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