Note: The job is a remote job and is open to candidates in USA. Vivint is committed to creating a smarter, cleaner, and more connected future through innovative solutions. The Sr Audio Intelligence Engineer will build conversational and audio AI experiences for smart homes, focusing on real-time speech and audio understanding systems.

Responsibilities

• Design and build conversational and audio AI experiences using STT, TTS, LLMs, audio understanding, and multimodal context
• Optimize latency, reliability, privacy, grounding, and user experience for real-time interactions
• Build evaluation frameworks for conversational quality, task completion, audio understanding, customer satisfaction, and safety
• Integrate audio intelligence with agentic tool use, memory, personalization, and smart-home context
• Evaluate and benchmark emerging speech, audio, and multimodal AI technologies
• Deploy and monitor production audio and conversational AI services at scale

Skills

• Bachelor's degree in Computer Science, Software Engineering, AI/ML, or a related technical field, and 5+ years of professional experience in software development, applied science, or ML engineering; or
• Master's degree in Computer Science, Software Engineering, AI/ML, or a related technical field, and 2+ years of professional experience in software development, applied science, or ML engineering
• Experience with speech-to-text, text-to-speech, audio understanding, or conversational AI systems
• Strong Python software engineering skills
• Experience integrating LLMs or multimodal models into production applications
• Familiarity with prompt engineering, evaluation, conversation design, latency optimization, and cloud AI services
• Experience with Git, CI/CD, production monitoring, and cross-functional product collaboration
• Experience with wake word, streaming audio, real-time inference, ASR/NLU frameworks, or ambient sound classification
• Experience building consumer-facing voice, assistant, smart-home, or conversational products
• Familiarity with edge AI, embedded devices, IoT, Linux-based systems, or hybrid edge/cloud architectures
• Experience with privacy-aware audio systems, grounding, safety, and customer-trust mechanisms
• Experience with Docker, Kubernetes, GCP/AWS, or scalable AI service deployment

Benefits

• Annual bonus
• Short- and long-term incentives
• Program-specific awards
• Medical
• Vision
• Dental
• 401K
• Flexible spending accounts

Company Overview

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