Machine Learning Engineer — Voice & Embodied Intelligence

IntBot is building socially intelligent humanoid robots for real-world service environments. The Machine Learning Engineer will help develop, evaluate, and deploy ML systems that power real-time human-robot interaction, working closely with various teams to ensure robust and reliable AI systems.

Responsibilities:

• Build and improve real-time voice interaction systems for humanoid robots, including speech understanding, response generation, turn-taking, and interruptions
• Integrate LLMs, speech models, vision models, and internal tools into reliable robot interaction pipelines
• Use deployment data to identify failure cases, improve prompts or models, and make the system more robust in real environments
• Build evaluation tools for conversation quality, latency, reliability, task success, and user experience
• Work with robotics, product, and deployment teams to connect AI behavior with robot actions, customer workflows, and real-world constraints
• Help maintain and improve the ML infrastructure behind IntEngine, including data pipelines, monitoring, model evaluation, and production debugging
• Test and deploy AI systems on real robots in hotels, airports, events, and public spaces