Senior AI Engineer - Voice Biometrics & Conversational AI

US Mobile
Full-timeSenior

AI Tools

Speech-to-Speech Architectures

Tech Stack

PythonPyTorchTensorFlowLLMASRTTSNLUVoice AISpeechBrainNVIDIA Riva

Agent Workflow

Architect Voice AI Agents by integrating Biometrics with ASR, TTS, NLU and LLMs. Implement Speech-to-Speech architectures to give voice agents contextual memory and reasoning capabilities.

About the Role

US Mobile is on a mission to revolutionize connectivity, building a software platform for the 21st century and the age of 5G and IoT. Recognized by Forbes as one of the top 500 best startup employers in the US. Ranked 94th on Inc 5000's fastest-growing private companies.

We're looking for a Senior AI Engineer to lead the evolution of our voice technology stack.

Key Responsibilities

  • Establish the Trust Layer: Design and deploy robust voice biometric systems (Speaker Verification and Identification)
  • Anti-Spoofing & Security: Develop advanced liveness detection and anti-cloning models to protect against deepfakes and synthetic audio attacks
  • Architect Voice AI Agents: Lead the long-term transition toward autonomous Voice Agents by integrating Biometrics with ASR, TTS, NLU and LLMs
  • Pipeline Innovation: Build end-to-end low-latency pipelines for streaming audio, enabling real-time human-in-the-loop or fully autonomous interactions
  • LLM Integration: Implement Large Language Models and Speech-to-Speech architectures to give voice agents contextual memory and reasoning capabilities
  • Performance Engineering: Optimize models for accuracy and latency, sub-second Time to First Token

Qualifications

  • 6+ years experience in AI/ML with strong portfolio in Speech Processing or Audio Intelligence
  • Biometric Expertise: Speaker recognition, embedding extraction (x-vectors/d-vectors), signal processing
  • Conversational AI Vision: Deep understanding of the modern Voice Stack (ASR, LLMs, TTS into cohesive agentic workflow)
  • Expert-level PyTorch or TensorFlow, familiarity with SpeechBrain, NVIDIA Riva, or Kaldi
  • Production deployment in cloud environments (AWS/GCP/Azure)

Benefits: Competitive salary, flexible hours, supplemental health insurance, professional development stipend, $500 WFH tech reimbursement.

Location: Montreal / Toronto, Canada (onsite)

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