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Build and prototype AI-driven security solutions for enterprise environments, focusing on Agentic AI systems and automation using Python, Go, and AI frameworks like LangChain.
Build AI-driven automation and self-service cloud platforms to replace manual ops work, using AWS/Azure, Terraform, and agentic workflows for provisioning, remediation, and incident response.
Owns the enterprise LLM platform portfolio (ChatGPT Enterprise, Claude Enterprise) by administering workspaces, coordinating global teams, and driving adoption and governance for AI-powered chat, API, and coding tools.
About the Team Bloomberg’s CTO Office is the future-looking technical and product arm of Bloomberg L.P. We envision, design, and prototype the next generation of infrastructure, hardware, and applications that power…
About the team Bloomberg’s CTO Office is the future-looking technical and product arm of Bloomberg L.P. We envision, design, and prototype the next generation of infrastructure, hardware, and applications that power…
Why Clarium? The healthcare industry overspends on its supply chain by over $25B each year, the result of fragmented data, inefficient workflows, and wasted supplies. Clarium is fixing that. Our AI-powered platform,…
Builds and scales real-time cloud infrastructure for AI-powered humanoid robots, handling high-bandwidth sensor and media streams with low latency and high reliability.
Builds and maintains AI data infrastructure for Figure’s humanoid robotics, handling large-scale data pipelines, storage, and compute across on-prem and cloud environments.
Build and scale generative AI models (diffusion, multimodal) to power autonomous humanoid robots, training and deploying systems for perception, simulation, and reasoning.
Designs and advances core AI models for autonomous humanoid robots, focusing on perception, reasoning, and action using multimodal inputs like vision and language.
Builds AI-powered perception systems for humanoid robots, focusing on computer vision, localization, and real-time data processing in dynamic environments.
Build and train large-scale AI foundation models for humanoid robots using multimodal data (text, vision, robot experience) to enable real-world autonomy.
Develops reinforcement learning systems for autonomous humanoid robots, training policies in simulation and real-world environments to enable complex, long-horizon behaviors.
Designs and deploys AI models that let humanoid robots see and manipulate objects in the real world, using techniques like behavior cloning and reinforcement learning.
Develops large-scale video foundation models for humanoid robot autonomy by training on real-world and robot-collected video data to capture motion, interaction, and temporal structure.
Build real-time localization and mapping systems for humanoid robots using multi-sensor fusion (cameras, IMUs, encoders) and 3D geometry in C++.
Builds native Android/iOS apps and web interfaces for robot data annotation, dataset review, and experiment tracking in an AI robotics company.
Develops and maintains XR applications for humanoid robot training and data capture, integrating hardware with Unity/Unreal and C++ for spatial interfaces and low-latency systems.
Lead AI engineering to build systems that improve health outcomes using machine learning and data pipelines for a global healthcare provider.
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