menlo - Robotics Researcher, Perception & Vision
Requirements
• Experience with vision-language models, open-vocabulary detection, or embodied scene understanding • Familiarity with NeRF, Gaussian splatting, or differentiable rendering approaches • Prior work on manipulation or mobile robotics perception • Publications at CVPR, ICCV, ECCV, CoRL, or equivalent venues
Responsibilities
• Design, train, and deploy perception systems for object detection, segmentation, depth estimation, and 3D scene reconstruction • Build multi-modal pipelines that fuse RGB, depth, and inertial data into robust real-time representations • Develop and scale vision models that transfer reliably from Uranus to physical hardware • Optimize inference pipelines for performance constraints on embedded compute • Work closely with navigation and manipulation teams to ensure perception outputs meet downstream requirements • Drive systematic evaluation on hardware and iterate on failure modes • Contribute to open-source releases of perception models and tooling • Deep foundations in computer vision, 3D geometry, and deep learning • Hands-on experience building and deploying perception systems on physical robots or real-time embedded platforms • Proficiency in Python and C++; strong experience with PyTorch or JAX • Track record taking perception models from research prototype to deployed inference • Experience with sensor fusion across camera, depth, and inertial modalities • Practical instincts for understanding why models break in the real world
Benefits
• This is applied robotics research with real stakes -- your code runs on a physical humanoid. We open-source aggressively, so your contributions reach the broader community. You will work alongside researchers and engineers across the full stack, in a team that values shipping over presenting. Competitive compensation and equity. • You don't need deep AI expertise for every role, but we do expect everyone at Menlo to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement. When that's the case, we'll say so explicitly in the qualifications. People who thrive here don't treat AI as a novelty. They use it to think better, and make their work easier for others to build on. • Equal Opportunity and Accommodations
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