Head of AI Communciations

Company Introduction:

The company is revolutionizing corporate operations with a fleet of humanoid robots designed to address labor shortages and tackle challenging tasks. Join their in-office team to help bring their vision of deploying autonomous robots to solve real-world problems.

They are seeking a talented and visionary Head of AI Communication to lead the development of AI-driven human-robot interaction technologies, integrating Generative AI and Physical AI for seamless communication through speech, gestures, and multimodal interfaces.

Job Summary:

You will define and drive AI-based interaction strategies, focusing on Generative AI models for speech, dialogue generation, emotion recognition, and Physical AI for gesture-based and embodied communication. You will oversee a team developing state-of-the-art NLP, computer vision, and multi-modal AI solutions to enable natural, human-like interaction in humanoid robots.

This role requires deep expertise in AI-powered conversational agents, speech synthesis & recognition, gesture understanding, and multimodal AI models that bridge cognitive AI with physical expressions in robotics.

Responsibilities:

- Strategic Leadership:

• Define and execute the long-term strategy for AI-powered human-robot communication, ensuring alignment with The companys' mission.

• Drive innovation in Generative AI and Physical AI, improving speech synthesis, dialogue modeling, facial expression recognition, and gestural interaction.

• Ensure AI communication systems support real-time, dynamic, and context-aware responses for humanoid robots.

- Team & Project Management

• Lead and mentor a multidisciplinary AI team, including experts in NLP, Generative AI, computer vision (CV), and robotics.

• Oversee the design, development, and deployment of AI communication models, ensuring high performance and real-world applicability.

• Collaborate with robotics, hardware, and embedded AI teams to integrate AI-driven communication with real-world robotic movements and gestures.

- Technical Research & Implementation

• Develop Generative AI models for conversational AI, speech-to-text (ASR), text-to-speech (TTS), and emotional AI.

• Implement foundation models (LLMs) like GPT, BERT, or customized Transformer-based architectures to improve dialogue comprehension and generation.

• Enhance Physical AI capabilities for non-verbal communication, including gesture recognition, body language understanding, and emotion-adaptive robotics.

• Apply multimodal learning techniques, combining  speech, vision, and physical gestures for holistic robot-human interaction.

• Utilize reinforcement learning (RL) and imitation learning to refine context-adaptive communication behaviors in humanoid robots.

• Optimize AI-driven interaction models for low-latency and real-time deployment on edge AI devices.

- Risk Management & Compliance

• Identify and mitigate risks related to AI safety, bias in language models, and real-world deployment of conversational AI.

• Ensure compliance with industry standards in AI ethics, privacy, and safety regulations for human-robot interaction.

- Stakeholder Communication

• Act as the primary point of contact for AI communication projects, presenting findings and updates to executive leadership and cross-functional teams.

• Translate complex AI-driven interaction concepts into actionable insights for business and product teams.

Requirements:

- Education: Master’s or Ph.D. in Computer Science, AI, Robotics, NLP, Mechatronics, or a related field.

- Technical Expertise:

· Extensive experience in Generative AI for communication, including:

• Large Language Models (LLMs) for dialogue management.

• Text-to-Speech (TTS) and Speech-to-Text (ASR) models.

• Voice cloning and emotional AI for expressive speech synthesis.

· Strong expertise in Physical AI, including:

• Gesture and facial expression recognition using computer vision and deep learning.

• Multimodal learning (speech + vision + motion).

• Reinforcement Learning (RL) for adaptive interaction.

· Deep understanding of human-computer interaction (HCI) principles and social robotics.

· Proficiency in Python, TensorFlow, PyTorch, Hugging Face Transformers, and NLP/CV toolkits.

· Hands-on experience in deploying conversational AI in real-time robotics systems.- 

Experience:

• 7+ years of experience in AI-driven NLP, Generative AI, or human-robot interaction or a related field, with at least 3 years in a leadership role.

• Proven expertise in building scalable AI communication frameworks for robotics, chatbots, or virtual assistants.

• A track record of successful AI communication implementations in real-world robotic applications.

- Skills:

• Strong leadership and team management skills.

• Ability to solve complex AI-driven interaction challenges.

• Excellent communication and cross-functional collaboration abilities.

Benefits:

• Competitive salary and benefits package (Open to salary negotiations).

• Opportunities for professional development and career growth.

• Flexible work arrangements.

• A collaborative and innovative work environment.