US Mobile

US Mobile

Senior AI Engineer - Voice Biometrics & Conversational AI

Montreal / Toronto · Senior

Sponsorship not specified$225k-$300kDetected 187 days ago
AWSGCPAzureCloud PlatformsMachine LearningTensorFlowPyTorchLLMsAgentic AICustomer Support

About the role

  • The goal: one unified network open to any person and any device, worldwide.

Responsibilities

  • Establish the Trust Layer: Design and deploy robust voice biometric systems (Speaker Verification and Identification) to serve as the secure entry point for our voice ecosystem.
  • 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 that process streaming audio, enabling fluid, real-time "human-in-the-loop" or fully autonomous interactions.
  • LLM Integration: Explore and implement Large Language Models (LLMs) and "Speech-to-Speech" architectures to give our voice agents contextual memory and reasoning capabilities.
  • Performance Engineering: Optimize models for accuracy (minimizing FAR/FRR) and latency, ensuring the agent responds with sub-second "Time to First Token."
  • Growth Mindset: A background in general AI with the agility to master niche voice biometrics today and lead broad Voice AI agent strategy tomorrow.
  • Design and deploy robust voice biometric systems (Speaker Verification and Identification) to serve as the secure entry point for our voice ecosystem.
  • Develop advanced liveness detection and anti-cloning models to protect against deepfakes and synthetic audio attacks.
  • Build end-to-end low-latency pipelines that process streaming audio, enabling fluid, real-time "human-in-the-loop" or fully autonomous interactions.

Requirements

  • Biometric Expertise: Proven experience in speaker recognition, embedding extraction (x-vectors/d-vectors), and signal processing.
  • Tooling & Frameworks: Expert-level proficiency in PyTorch or TensorFlow, and familiarity with speech libraries such as SpeechBrain, NVIDIA Riva, or Kaldi.
  • Production Excellence: Experience deploying real-time AI models in cloud environments (AWS/GCP/Azure) with an emphasis on high-availability and security.
  • Expert-level proficiency in PyTorch or TensorFlow, and familiarity with speech libraries such as SpeechBrain, NVIDIA Riva, or Kaldi.
  • 6+ years of experience in AI/Machine Learning, with a strong portfolio in Speech Processing or Audio Intelligence.

Nice to have

  • one unified network open to any person and any device, worldwide.
  • Connection without walls.
  • All three major networks on one phone and one plan, plus home internet from Starlink.
  • Custom fit plans at every price point.
  • A network agnostic tech stack.
  • Agile, cross-functional teams built on trust and mutual respect.
  • This work isn't for everyone.
  • If you work fast, flexibly, and collaboratively - without compromising standards - we want to hear from you.

Skills

  • Experience deploying real-time AI models in cloud environments (AWS/GCP/Azure) with an emphasis on high-availability and security.

Compensation

  • $225k-$300k

Benefits

  • Conversational AI Vision: Deep understanding of the modern "Voice Stack"-specifically how to connect ASR, LLMs, and TTS into a cohesive agentic workflow.
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