Lead Engineer - AI Agent Voice Experience

What you'll do

• Design, train, evaluate, deploy, and optimize systems for speech recognition, turn detection, text-to-speech, speech-to-speech, and agentic workflows.
• Improve and evaluate voice AI through data curation, benchmarking, error analysis, and mitigation of system failure modes.
• Partner across research, product, and engineering teams to productionize real-time voice systems, mentor engineers, and shape technical strategy.

What they ask for

• Bachelor’s degree in Computer Science, Mathematics, Machine Learning, AI, or a related field.
• 5+ years of experience building, evaluating, and deploying machine learning systems in production.
• Demonstrated experience leading fast-moving, highly technical teams.
• Strong background in speech recognition, speech processing, NLP, generative AI, or voice AI, plus experience with production ML evaluation and real-time systems.

Nice to have

• Master’s or Ph.D.
• Experience with ASR quality metrics such as WER, RAG systems, agentic workflows, streaming inference, or contact center AI.

Pay

$205,000–$270,000 USD base salary

Tools

ASR, WER, RAG, transformer-based models, embeddings, retrieval systems, LLM-as-a-judge

AI focus

Develop and improve real-time voice AI, including speech recognition, turn detection, agentic workflows, voice evaluation, text-to-speech, speech-to-speech, and reasoning; build evaluation and production systems focused on quality, latency, robustness, and caller experience.