Sr. Research Scientist

Sr. Research Scientist - Physically-Grounded World Modeling Our mission is to solve the most important and fundamental challenges in AI and Robotics to enable future generations of intelligent machines that will help us all live better lives. Our research group, a part of the RAI institute's Perception team, is dedicated to building the next generation of intelligent scene models. We focus on creating representations that are deeply grounded in the physics of the real world. We operate in a dynamic environment, translating research breakthroughs into demonstrable progress in physical intelligence. We exist at the intersection of two critical challenges: Analysis (Understanding the Now) – deconstructing scenes into their fundamental components including 3D geometry, semantics, physical properties (friction, mass), and dynamics (articulation, forces); and Synthesis (What Happens Next?) – using this understanding to power generative world models, hybrid physics engines, and differentiable simulators that can predict how a scene will evolve over time, conditioned on agent actions. We are looking for a Senior Research/Applied Scientist to push the frontiers of how machines perceive, reason about, and interact with the physical world. What You Will Do Research, design, and implement novel algorithms for understanding and modeling complex 3D scenes, with a focus on integrating geometry, semantics, and physics Develop and advance generative and physics-informed models capable of predicting realistic future states and dynamic interactions for applications like robotic manipulation Design and curate large-scale datasets to enhance model capabilities in physically-grounded and specialized applications Create robust 3D representations that capture not just object appearance, but also physical properties, affordances, and causal dynamics Incorporate principled uncertainty estimation into your models to ensure they are reliable and aware of their own limitations Collaborate with a multidisciplinary team of researchers and engineers to integrate your work into larger systems and build compelling demonstrations Share your innovative work with the community through publications at top-tier conferences (CoRL, CVPR, NeurIPS) Mentor junior researchers and engineers, fostering a culture of technical excellence and collaborative innovation What We Are Looking For A PhD, or MS with equivalent research experience in Computer Science, Robotics, or a related field 5+ years of relevant post-graduate research or industry experience in robotics, computer vision, computer graphics, or machine learning Strong programming skills in Python and/or C++ and deep experience with a major deep learning framework (PyTorch) Experience applying research to robotic systems (e.g., using ROS 2, integrating models on physical hardware) A proven track record of creativity and research excellence, demonstrated by publications in leading ML and Robotics conferences Deep expertise in one or more of the following areas: 3D Scene Understanding, Generative Modeling, Physics-Informed AI Bonus Qualifications Experience with large-scale model training, including distributed training techniques Familiarity with MLOps workflows and tools (Docker, cloud computing) for large-scale experiments Familiarity with causal representation learning or related techniques Why Join Us We offer a unique environment for those who want to do foundational work with real-world impact, without the constraints of a product-driven roadmap. You will have: Intellectual Freedom, Unparalleled Resources, A Culture of Balance, A Full-Stack Team. We provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other #J-18808-Ljbffr