Member of Technical Staff (Robotics Research Lead)
Role Overview
The Member of Technical Staff - Robotics Research Lead will work closely with machine learning researchers to develop innovative world models and generative systems for robotics. This senior role involves building state-of-the-art training platforms, ensuring reliable performance in real-world operations, and collaborating with interdisciplinary teams to push the boundaries of embodied AI. The impact of this position will be significant, as it drives advancements in intelligent robotics and scene understanding.
Perks & Benefits
This role offers a fully remote work setup, allowing for flexibility in work hours and collaboration across time zones. The company emphasizes a culture of innovation and collaboration, providing opportunities for career growth through partnerships with leading ML researchers. Employees can expect to work on cutting-edge technologies in a supportive environment that values creativity and technical excellence.
Full Job Description
We are an AI research lab building foundational intelligence for the physical world.
Our models are designed to solve complex real-world challenges, powering everything from intelligent robots to next-generation wearables and media.
We work at the intersection of world models, video generation, and robotics, building systems that represent complex environments, reason about objects and dynamics, and translate high-level AI intentions into smooth, efficient, safe, and responsive actions across a variety of robotic embodiments.
You will collaborate closely with ML researchers developing multimodal world models and generative systems, and with hardware teams and partners to ensure robotic platforms, sensing, and system dynamics behave optimally in real-world operation.
What You’ll Do
Build the Foundation: Collaborate with our world model team to build state-of-the-art training and simulation platform for robotics.
Build the "World": Develop persistent 3D/4D scene representations that maintain temporal consistency.
Drive Intelligence: Unlock advanced robotics planning and decision making through our in-house, cutting-edge world models.
Sim2Real: Ensure sensing and system dynamics perform reliably in high-stakes, real-world operations, where models think, simulate, and act.
Push Boundaries: Partner with top ML researchers to innovate on generative models and physical AGI.
Areas of Interest
We are particularly excited about candidates working on topics such as:
World models for embodied systems
3D / 4D generative models
3D reconstruction and scene understanding
Embodied AI
Object-level / semantic SLAM
Embodied AI
Multimodal AI
What We’re Looking For
Background in robotics, or computer vision
Experience with 3D perception, scene representations, or world models
Experience working with robotic systems, simulation, or real-world platforms
Strong programming skills (Python, C++, or similar)
Ability to work across machine learning, perception, and robotics
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