Senior AI Engineer

2 weeks ago

Montreal administrative region, Canada US Mobile, Inc Full time

US Mobile is on a mission to revolutionize connectivity. Imagine a world where you can go into a single app and buy terabytes of data for every one of your devices: phone, smart devices, car, home broadband, and more. That’s the future that US Mobile is building: a software platform built truly for the 21st century and the age of 5G and IoT, with world class engineering, best-in-class user experience, and features that will define the next generation of connectivity. At the core of it all, we have a team and culture that has been recognized by Forbes as one of the top 500 best startup employers in the US. Our team spans diverse backgrounds, cultures, and stories, with employees coming from 20+ countries. We’re a venture‑backed company entering hyper‑growth, having recently ranked 94th on Inc 5000’s fastest‑growing private companies in America, and we’re looking for someone exceptional to join our team. We’re looking for a Senior AI Engineer to lead the evolution of our voice technology stack. Your journey will begin by spearheading our Voice Biometrics and Authentication framework—ensuring our systems are secure and identity‑aware. As you establish this foundation, you will transition into architecting the future: Next‑Generation Voice AI Agents. You will play a pivotal role in moving beyond simple commands toward creating sophisticated, secure, and human‑like conversational entities that can verify, understand, and assist users in real‑time. Key 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." Qualifications 6+ years of experience in AI/ML, with a strong portfolio in Speech Processing or Audio Intelligence. Biometric Expertise: Proven experience in speaker recognition, embedding extraction (x‑vectors/d‑vectors), and signal processing. Conversational AI Vision: Deep understanding of the modern "Voice Stack"—specifically how to connect ASR, LLMs, and TTS into a cohesive agentic workflow. 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. Growth Mindset: A background in general AI with the agility to master niche voice biometrics today and lead broad Voice AI agent strategy tomorrow. Benefits Competitive salary Flexible working hours Supplemental health insurance Professional development stipend $500 wfh tech set‑up reimbursement $225,000 - $300,000 a year Think you’re a good fit? Apply here to learn more #J-18808-Ljbffr

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