Jobs at Sanctuary AI

Develop, deploy, optimize, and validate machine learning systems for dexterous robots. The role focuses on robotic perception, manipulation, planning, reasoning, and production ML policies. Responsibilities include collaborating with researchers and cross-functional teams, integrating novel ML techniques into scalable software, testing models, and mentoring junior engineers. Travel several times per year is required for partner and team collaboration.

Research and develop reinforcement learning and imitation learning algorithms for humanoid robotic manipulation. Build training and data-collection pipelines, improve sample efficiency and scalability, integrate models with physical robots, investigate implementation errors, and evaluate methods in simulation and real-world settings. Collaborate with a multidisciplinary team to advance perception, planning, motion systems, and simulation-to-reality transfer.

Lead research on dexterous manipulation for high-degree-of-freedom robotic hands. Develop vision-language-action and world-model policies, tactile and proprioceptive inputs, demonstration-data pipelines, teleoperation and retargeting methods, and hardware evaluations. Deploy learned policies on real robots, publish research, mentor researchers, collaborate with hardware and controls teams, and influence future hand and sensor designs.

Lead product marketing for AI-based humanoid robot control systems. Define positioning, own the company website and content engine, manage social marketing, create technical assets, maintain company decks, develop case studies, lead PR, coordinate launches, and support conferences and sales materials. The role requires translating complex technology into compelling content while managing agencies, designers, and freelancers as a hands-on marketing leader.

Lead machinery safety and regulatory conformity for Sanctuary robotic cells: define safety requirements and risk methodology, perform ISO 12100 risk assessments and functional safety calculations, validate and sign off systems, manage conformity (CE/UKCA/OSHA/CSA), engage third-party certifiers (TÜV/UL/CSA), support import/export safety documentation, and maintain safety documentation and validation protocols.

Own strategic enterprise robotics accounts from technical discovery through pilots, deployment expansion, and commercial growth. Translate customer operations into technical scopes, ROI models, deployment requirements, and acceptance criteria. Explain robot learning capabilities to operations and ML leaders, qualify technology partnerships, manage forecasts and expansion pipelines, and feed customer requirements into product and research roadmaps. The role requires cross-functional project ownership, consultative enterprise engagement, and fluency in robotics, industrial automation, and modern machine learning.

Lead development of production teleoperation and robotic data-collection software. Build reliable, low-latency systems for robot control, motion capture, visual and haptic feedback, and hardware-in-the-loop testing. Evaluate robotics research and integrate promising methods into maintainable products. Guide architecture, mentor engineers, and coordinate with controls, hardware, machine learning, and customer teams. Apply expertise in C++, Python, ROS 2, kinematics, coordinate transforms, and latency-sensitive robotic systems.

Lead robot learning research initiatives from hypothesis through validation and production transition. Develop and evaluate reinforcement learning, imitation learning, simulation-to-real, world model, and foundation model approaches for physical robots. Design experiments, training and data collection pipelines, and performance improvements while collaborating cross-functionally to harden algorithms for production. Requires deep expertise in at least one robot learning area, practical robotic manipulation experience, and strong Python, machine learning, and robotics platform skills.

Lead and execute the hardware vision and roadmap for integrated electromechanical systems. Own system architecture, prototype-to-NPI delivery, manufacturing readiness, supply chain, validation, reliability, and build a high-performing multidisciplinary hardware team while balancing performance, cost, schedule, and serviceability.