Here at Humanoid, we believe in a future where robots amplify human potential. That's why we've set out on a mission to build the world's most capable, commercially-scalable, and safe humanoid robots. We're bringing that mission to life with HMND 01 Alpha - our rapidly developed humanoid platform now running in real industrial pilots - and we're growing the team to take it even further. About the Role We're hiring a Senior ML Engineer (VLA & Navigation) (London) to join our Perception and Navigation team based in London. In this role you will lead the design, development, and optimization of cutting-edge computer vision and spatial understanding systems, including object detection, semantic segmentation, 3D scene reconstruction, and persistent geometric reasoning. What You'll Do Develop next-generation spatial understanding systems for robot locomotion and manipulation, integrating perception and high-level reasoning. Work on open-ended navigation powered by Vision-Language-Action (VLA) models - enabling robots to understand context, predict intent, and act in complex, dynamic environments. Design and scale auto-labeling and large-scale data pipelines to train and evaluate multimodal models for navigation and interaction. Develop and implement scene understanding and 3D reconstruction methods that give robots persistent spatial memory and geometric awareness. Collaborate with cross-functional research and engineering teams to bring large vision-language models into real-world robotic systems. Stay ahead of the field - rapidly evaluate new model architectures, benchmarks, and datasets to guide our embodied AI roadmap What We're Looking For Deep experience in machine learning for vision or embodied AI, ideally with large models (VLMs, VLAs, transformers, diffusion, or multi-modal architectures). Strong background in scene understanding, spatial reasoning, or 3D reconstruction from visual data. Proficiency in PyTorch and hands on experience building, fine tuning, and deploying large scale ML systems. Strong experimental and research skills - capable of taking projects from concept to model training, evaluation, and robot integration. Comfortable working in a fast moving, research driven environment with evolving models, data, and tools. What We Offer Meaningful time off to rest and recharge: 23 days of annual leave (accrued), separate sick leave, and paid bank holidays and company holidays. Fully funded private healthcare for UK employees, with broad provider access, virtual and in person care, and strong mental health and serious illness support. Pension scheme with a total 8% contribution (5% employee, 3% employer) on full earnings. Free daily breakfast, catered lunch, and snacks in office. Collaboration with top tier engineers, researchers, and product experts in AI and robotics. Freedom to influence the product and own key initiatives.
24/06/2026
Full time
Here at Humanoid, we believe in a future where robots amplify human potential. That's why we've set out on a mission to build the world's most capable, commercially-scalable, and safe humanoid robots. We're bringing that mission to life with HMND 01 Alpha - our rapidly developed humanoid platform now running in real industrial pilots - and we're growing the team to take it even further. About the Role We're hiring a Senior ML Engineer (VLA & Navigation) (London) to join our Perception and Navigation team based in London. In this role you will lead the design, development, and optimization of cutting-edge computer vision and spatial understanding systems, including object detection, semantic segmentation, 3D scene reconstruction, and persistent geometric reasoning. What You'll Do Develop next-generation spatial understanding systems for robot locomotion and manipulation, integrating perception and high-level reasoning. Work on open-ended navigation powered by Vision-Language-Action (VLA) models - enabling robots to understand context, predict intent, and act in complex, dynamic environments. Design and scale auto-labeling and large-scale data pipelines to train and evaluate multimodal models for navigation and interaction. Develop and implement scene understanding and 3D reconstruction methods that give robots persistent spatial memory and geometric awareness. Collaborate with cross-functional research and engineering teams to bring large vision-language models into real-world robotic systems. Stay ahead of the field - rapidly evaluate new model architectures, benchmarks, and datasets to guide our embodied AI roadmap What We're Looking For Deep experience in machine learning for vision or embodied AI, ideally with large models (VLMs, VLAs, transformers, diffusion, or multi-modal architectures). Strong background in scene understanding, spatial reasoning, or 3D reconstruction from visual data. Proficiency in PyTorch and hands on experience building, fine tuning, and deploying large scale ML systems. Strong experimental and research skills - capable of taking projects from concept to model training, evaluation, and robot integration. Comfortable working in a fast moving, research driven environment with evolving models, data, and tools. What We Offer Meaningful time off to rest and recharge: 23 days of annual leave (accrued), separate sick leave, and paid bank holidays and company holidays. Fully funded private healthcare for UK employees, with broad provider access, virtual and in person care, and strong mental health and serious illness support. Pension scheme with a total 8% contribution (5% employee, 3% employer) on full earnings. Free daily breakfast, catered lunch, and snacks in office. Collaboration with top tier engineers, researchers, and product experts in AI and robotics. Freedom to influence the product and own key initiatives.
Humanoid is looking for a Senior ML Engineer to join the Perception and Navigation team in London. The role involves designing and optimizing systems for computer vision and spatial understanding in robots. Candidates should have deep experience in machine learning, particularly with large models, and be proficient in PyTorch. The position offers meaningful time off, fully funded healthcare, a pension scheme, and a collaborative work environment with top experts in AI and robotics.
23/06/2026
Full time
Humanoid is looking for a Senior ML Engineer to join the Perception and Navigation team in London. The role involves designing and optimizing systems for computer vision and spatial understanding in robots. Candidates should have deep experience in machine learning, particularly with large models, and be proficient in PyTorch. The position offers meaningful time off, fully funded healthcare, a pension scheme, and a collaborative work environment with top experts in AI and robotics.
Here at Humanoid, we believe in a future where robots amplify human potential. That's why we've set out on a mission to build the world's most capable, commercially-scalable, and safe humanoid robots. We're bringing that mission to life with HMND 01 Alpha - our rapidly developed humanoid platform now running in real industrial pilots - and we're growing the team to take it even further. About the Role We're hiring a Senior ML Engineer (VLA & Navigation) (London) to join our Perception and Navigation team based in London. In this role you will lead the design, development, and optimization of cutting-edge computer vision and spatial understanding systems, including object detection, semantic segmentation, 3D scene reconstruction, and persistent geometric reasoning. What You'll Do Develop next-generation spatial understanding systems for robot locomotion and manipulation, integrating perception and high-level reasoning. Work on open-ended navigation powered by Vision-Language-Action (VLA) models - enabling robots to understand context, predict intent, and act in complex, dynamic environments. Design and scale auto-labeling and large-scale data pipelines to train and evaluate multimodal models for navigation and interaction. Develop and implement scene understanding and 3D reconstruction methods that give robots persistent spatial memory and geometric awareness. Collaborate with cross-functional research and engineering teams to bring large vision-language models into real-world robotic systems. Stay ahead of the field - rapidly evaluate new model architectures, benchmarks, and datasets to guide our embodied AI roadmap What We're Looking For Deep experience in machine learning for vision or embodied AI, ideally with large models (VLMs, VLAs, transformers, diffusion, or multi-modal architectures). Strong background in scene understanding, spatial reasoning, or 3D reconstruction from visual data. Proficiency in PyTorch and hands on experience building, fine tuning, and deploying large scale ML systems. Strong experimental and research skills - capable of taking projects from concept to model training, evaluation, and robot integration. Comfortable working in a fast moving, research driven environment with evolving models, data, and tools. What We Offer Meaningful time off to rest and recharge: 23 days of annual leave (accrued), separate sick leave, and paid bank holidays and company holidays. Fully funded private healthcare for UK employees, with broad provider access, virtual and in person care, and strong mental health and serious illness support. Pension scheme with a total 8% contribution (5% employee, 3% employer) on full earnings. Free daily breakfast, catered lunch, and snacks in office. Collaboration with top tier engineers, researchers, and product experts in AI and robotics. Freedom to influence the product and own key initiatives.
21/06/2026
Full time
Here at Humanoid, we believe in a future where robots amplify human potential. That's why we've set out on a mission to build the world's most capable, commercially-scalable, and safe humanoid robots. We're bringing that mission to life with HMND 01 Alpha - our rapidly developed humanoid platform now running in real industrial pilots - and we're growing the team to take it even further. About the Role We're hiring a Senior ML Engineer (VLA & Navigation) (London) to join our Perception and Navigation team based in London. In this role you will lead the design, development, and optimization of cutting-edge computer vision and spatial understanding systems, including object detection, semantic segmentation, 3D scene reconstruction, and persistent geometric reasoning. What You'll Do Develop next-generation spatial understanding systems for robot locomotion and manipulation, integrating perception and high-level reasoning. Work on open-ended navigation powered by Vision-Language-Action (VLA) models - enabling robots to understand context, predict intent, and act in complex, dynamic environments. Design and scale auto-labeling and large-scale data pipelines to train and evaluate multimodal models for navigation and interaction. Develop and implement scene understanding and 3D reconstruction methods that give robots persistent spatial memory and geometric awareness. Collaborate with cross-functional research and engineering teams to bring large vision-language models into real-world robotic systems. Stay ahead of the field - rapidly evaluate new model architectures, benchmarks, and datasets to guide our embodied AI roadmap What We're Looking For Deep experience in machine learning for vision or embodied AI, ideally with large models (VLMs, VLAs, transformers, diffusion, or multi-modal architectures). Strong background in scene understanding, spatial reasoning, or 3D reconstruction from visual data. Proficiency in PyTorch and hands on experience building, fine tuning, and deploying large scale ML systems. Strong experimental and research skills - capable of taking projects from concept to model training, evaluation, and robot integration. Comfortable working in a fast moving, research driven environment with evolving models, data, and tools. What We Offer Meaningful time off to rest and recharge: 23 days of annual leave (accrued), separate sick leave, and paid bank holidays and company holidays. Fully funded private healthcare for UK employees, with broad provider access, virtual and in person care, and strong mental health and serious illness support. Pension scheme with a total 8% contribution (5% employee, 3% employer) on full earnings. Free daily breakfast, catered lunch, and snacks in office. Collaboration with top tier engineers, researchers, and product experts in AI and robotics. Freedom to influence the product and own key initiatives.
Thehumanoid is seeking a Senior ML Engineer (VLA & Navigation) in London to advance their cutting-edge humanoid robots. You will lead the design and optimization of spatial understanding systems, focusing on object detection and scene reconstruction. The ideal candidate has deep experience in machine learning, particularly with large models and proficiency in PyTorch. Benefits include 23 days of annual leave, fully funded healthcare, and a pension scheme. Join a team of top-tier engineers and shape the future of embodied AI.
21/06/2026
Full time
Thehumanoid is seeking a Senior ML Engineer (VLA & Navigation) in London to advance their cutting-edge humanoid robots. You will lead the design and optimization of spatial understanding systems, focusing on object detection and scene reconstruction. The ideal candidate has deep experience in machine learning, particularly with large models and proficiency in PyTorch. Benefits include 23 days of annual leave, fully funded healthcare, and a pension scheme. Join a team of top-tier engineers and shape the future of embodied AI.
Here at Humanoid, we believe in a future where robots amplify human potential. That's why we've set out on a mission to build the world's most capable, commercially-scalable, and safe humanoid robots. We're bringing that mission to life with HMND 01 Alpha - our rapidly developed humanoid platform now running in real industrial pilots - and we're growing the team to take it even further. About The Role We are looking for a Senior Software Engineer to help transform our advanced robotics stack into a dependable product ready for the real world. This is a deeply technical and hands on role. You will write production code, integrate subsystems, and work directly with robots in both simulation and real hardware environments. You will be part of a focused team responsible for the application level software that connects control, navigation, perception, learning, and platform systems. Your work will ensure that these components operate as a coherent and reliable system that users can interact with seamlessly. This role involves close collaboration with engineers across multiple domains. You will contribute to architectural decisions, build prototypes, and iterate quickly. It is well suited to someone who enjoys working close to hardware and solving practical, cross disciplinary challenges. What You'll Do You will develop and maintain application level software for humanoid robots. You will integrate software components from controls, navigation, computer vision, reinforcement learning, and platform teams. You will contribute to the structure and evolution of the application architecture and its interfaces. You will work closely with the product and engineering teams to define priorities and deliver robust features. You will debug complex robotic systems in both simulated and physical environments. You will support on site validation efforts when needed and contribute to field testing. What We're Looking For You have at least five years of experience in robotics or a closely related field. You are highly proficient in C++ and have experience delivering production grade software. You have a solid understanding of robotic subsystems including control, perception, navigation, and learning. You are familiar with ROS or ROS2 or equivalent middleware platforms. You are comfortable reading, understanding, and integrating code from a range of other engineering teams. You have experience debugging systems on hardware and enjoy hands on problem solving. You are a strong communicator and collaborative team member, able to work effectively across disciplines. What We Offer Meaningful time off to rest and recharge: 23 days of annual leave (accrued), 15 days of paid sick leave, and paid company holidays. Fully funded private healthcare for UK employees, with broad provider access, virtual and in person care, and strong mental health and serious illness support. Equity included-we believe builders should share in what they build. Pension scheme with a total 8% contribution (5% employee, 3% employer) on full earnings. Free daily breakfast, catered lunch, and snacks in office. Collaboration with top tier engineers, researchers, and product experts in AI and robotics. Freedom to influence the product and own key initiatives.
11/06/2026
Full time
Here at Humanoid, we believe in a future where robots amplify human potential. That's why we've set out on a mission to build the world's most capable, commercially-scalable, and safe humanoid robots. We're bringing that mission to life with HMND 01 Alpha - our rapidly developed humanoid platform now running in real industrial pilots - and we're growing the team to take it even further. About The Role We are looking for a Senior Software Engineer to help transform our advanced robotics stack into a dependable product ready for the real world. This is a deeply technical and hands on role. You will write production code, integrate subsystems, and work directly with robots in both simulation and real hardware environments. You will be part of a focused team responsible for the application level software that connects control, navigation, perception, learning, and platform systems. Your work will ensure that these components operate as a coherent and reliable system that users can interact with seamlessly. This role involves close collaboration with engineers across multiple domains. You will contribute to architectural decisions, build prototypes, and iterate quickly. It is well suited to someone who enjoys working close to hardware and solving practical, cross disciplinary challenges. What You'll Do You will develop and maintain application level software for humanoid robots. You will integrate software components from controls, navigation, computer vision, reinforcement learning, and platform teams. You will contribute to the structure and evolution of the application architecture and its interfaces. You will work closely with the product and engineering teams to define priorities and deliver robust features. You will debug complex robotic systems in both simulated and physical environments. You will support on site validation efforts when needed and contribute to field testing. What We're Looking For You have at least five years of experience in robotics or a closely related field. You are highly proficient in C++ and have experience delivering production grade software. You have a solid understanding of robotic subsystems including control, perception, navigation, and learning. You are familiar with ROS or ROS2 or equivalent middleware platforms. You are comfortable reading, understanding, and integrating code from a range of other engineering teams. You have experience debugging systems on hardware and enjoy hands on problem solving. You are a strong communicator and collaborative team member, able to work effectively across disciplines. What We Offer Meaningful time off to rest and recharge: 23 days of annual leave (accrued), 15 days of paid sick leave, and paid company holidays. Fully funded private healthcare for UK employees, with broad provider access, virtual and in person care, and strong mental health and serious illness support. Equity included-we believe builders should share in what they build. Pension scheme with a total 8% contribution (5% employee, 3% employer) on full earnings. Free daily breakfast, catered lunch, and snacks in office. Collaboration with top tier engineers, researchers, and product experts in AI and robotics. Freedom to influence the product and own key initiatives.