Lead Physical AI / VLA Research Scientist
Core Responsibilities
โข Adapt open-weights foundation models (OpenVLA, Octo, ฯ0) for multi-modal quadruped navigation and
behavioral manipulation.
โข Formulate multi-modal tokenization schemes that translate visual observations and natural language
instructions into high-level spatial waypoints and behavior tokens.
โข Direct parameter-efficient fine-tuning (PEFT/LoRA/OFT) pipelines on downstream surveillance datasets.
โข Architect the multi-task vision trunk incorporating proprietary security analytics (threat detection, facial
recognition) into the VLA representation layer.
Required Qualifications
โข Ph.D. or Master's in Computer Science, Artificial Intelligence, or Robotics.
โข Minimum 4 years of experience training Large Multimodal Models (LMMs), Vision Transformers (ViT), or
robotic imitation learning policies.
โข Technical Strengths: PyTorch, JAX, Hugging Face, OpenVLA, Octo, Vision Transformers (ViT), Cross-embodiment
data (Open X-Embodiment).
Recruitment Notice
โDue to high interest, our team connects only with candidates whose profiles closely match the role mandate.โ
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