Lead AI Research Scientist (Robotics)

📋 Description

• Lead the research, development, and adaptation of Vision-Language-Action (VLA) models for advanced
• Fine-tune open-weight VLA models, including OpenVLA, Octo, and π0, for robotic navigation and
• Develop multimodal representations connecting camera observations, natural-language instructions
• Design action-tokenization strategies and spatial waypoint generation methods to improve robotic
• Build and optimize parameter-efficient fine-tuning pipelines using LoRA and other PEFT techniques.
• Leverage Vision-Language Models (VLMs), Vision Transformers (ViT), and large multimodal models to

🎯 Requirements

• Master's or Ph.D. degree in Computer Science, Artificial Intelligence, Robotics, Machine Learning
• At least 4 years of relevant professional experience in multimodal AI, foundation models
• Strong hands-on experience developing, training, and fine-tuning large multimodal models, Vision
• Advanced proficiency in Python and deep learning frameworks such as PyTorch or JAX.
• Practical experience working with Vision-Language Models (VLMs) or Vision-Language-Action (VLA)
• Familiarity with open-weight VLA models such as OpenVLA, Octo, and π0.

🎁 Benefits

• Fully remote working arrangement through a US-based research team, subject to approved employer
• Opportunity to lead the development of emerging Physical AI and Vision-Language-Action technologies.
• Exposure to cutting-edge research at the intersection of multimodal AI, foundation models, and
• Opportunity to explore innovative approaches to language-conditioned robotic navigation and
• Collaboration with AI researchers and robotics engineers on advanced, real-world applications.
• Significant influence over technical direction, research priorities, and the evolution of