Job title: Staff Applied Scientist - AI & Robotics
Skills required:
Digital : Python
Digital : Artificial Intelligence(AI)
Digital : Robotic Process Automation - Automation Anywhere
Experience Range:
Pre-Screening Questionnaire:
– Have you worked in robotics, robot learning, or embodied AI domain?
Must Have Technical/Functional Skills:
PhD in a relevant STEM field, or Master's with equivalent industry experience in robotics, robot learning, or embodied AI.
Proven experience building and deploying machine learning models on robotic systems—including training, evaluation, and real-world execution or simulation.
Deep understanding of modern AI architectures (e.g., Transformers, diffusion models, VLM/VLAs, CNNs) with strong experience training models at scale.
Strong PyTorch implementation skills, including authoring custom modules, batching, debugging, and performance optimization.
Roles & Responsibilities:
Build policy inference and closed-loop control that connect perception, planning, and execution on physical robotic platforms.
Apply and extend large-scale architectures—LLMs, VLM/VLAs, diffusion models—to embodied tasks, grounding, and sim-to-real adaptation.
Stay current with embodied AI research and share insights internally through discussion, mentorship, and technical presentations
Generic Managerial Skills, If any:
NA
Key Words to search in Resume:
Advanced Robotics – Embodied AI - LLMs, VLM/VLAs, Diffusion models
Education:
Ph.D.
PhD in a relevant STEM field| or Masters with equivalent industry experience in robotics| robot learning| or embodied AI.