--- title: 'Chief Scientist at Humanoid' canonical: 'https://feeny.ai/job/chief-scientist-humanoid-london-ykk58pnzbvgs' type: 'job' last_seen: '2026-10-29' --- # Chief Scientist at Humanoid - **Company:** [Humanoid](https://feeny.ai/companies/humanoid) - **Location:** London, United Kingdom - **Employment:** full-time - **Work type:** onsite - **Posted:** 2026-10-22 - **Last confirmed live:** 2026-10-29 - **Apply:** https://jobs.ashbyhq.com/humanoid/b164c603-66df-468d-a38f-529d6d71efa9 ## Job description 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 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. ## About the Role We believe personal robots will become part of everyday life, changing how people use their time and what they can do independently. Making that future possible is one of the most important challenges in AI and robotics. We're hiring a Chief Scientist to help shape the intelligence behind it. A useful personal robot must understand homes it has never seen, learn new tasks, handle unfamiliar objects, and work safely alongside people. These are fundamental problems with no established blueprint. You will help define the approaches that turn those capabilities into something people can rely on every day. Our hardware team brings experience from Boston Dynamics, Sanctuary AI, Apptronik, Agility Robotics, and 1X. This is an opportunity to build on lessons from across the field, working alongside engineers who understand the challenges of developing humanoid robots and bringing AI, hardware, and product together. Reporting to the CTO and working closely with the VP of AI and CEO, you will set scientific priorities, build an exceptional team, and guide advances from early experiments through to deployment. The role offers the opportunity to lead AI for our biped program and develop capabilities that can be shared across our industrial and bipedal platforms. ## What You'll Do - Define the scientific direction for embodied intelligence, with a particular focus on biped AI, and identify the technical advances that matter most to useful robot capabilities. - Build and mentor a team of scientists and engineers specialising in robot learning and deep learning, and help develop the team's technical leaders. - Evaluate promising approaches in robot learning, world models, dexterous manipulation, whole-body loco-manipulation, and 3D perception, choosing methods according to evidence and the problem at hand. - Explore learning loops that turn real-world robot data into simulation environments, train and evaluate capabilities in simulation, and deploy improvements back to robots, including opportunities for agents to automate experimentation. - Work closely with AI, engineering, and product teams, including the biped hardware team in Vancouver, to integrate advances into reliable systems and share capabilities across platforms. - Set rigorous evaluations and milestones for generalisation, reliability, data efficiency, and human-robot interaction; adapt priorities as experiments and deployment reveal what works. - Share the team's technical work through publications and conferences, and develop collaborations with academic and industry partners. ## What We're Looking For - A record of significant contributions to AI, deep learning, robot learning, or a closely related field, demonstrated through publications in leading venues, methods adopted by others, or deployed systems. - Deep expertise in one or more relevant areas, such as robot learning, world models, manipulation, whole-body control, 3D perception, or simulation and learning for physical systems. We welcome adjacent expertise with a compelling connection to embodied intelligence. - Experience defining scientific roadmaps, selecting promising technical approaches, and leading ambitious programs through uncertainty. - A track record of recruiting and mentoring outstanding scientists and engineers in academia, industry, or both. - A commitment to turning scientific advances into useful, reliable robots, including the evaluation, integration, and engineering work required for deployment. - The ability to collaborate across disciplines, explain complex technical ideas clearly, and make sound decisions with engineering, product, and company leadership ## Nice to Have - Experience founding or helping build an AI or robotics company, or translating scientific advances into a successful commercial program. - Experience working across academic institutions and industrial AI organisations. - Direct work on humanoid or bipedal robots, generalisation in home environments, or human-robot interaction. - Experience with real-to-sim-to-real learning loops, agent-assisted experimentation, or building and leading AI teams working closely with hardware. ## What We Offer - The opportunity to help shape a new category of technology, from the way robots learn to how they become useful in people's homes. - Direct access to founding leadership, meaningful influence on technical and product direction, and the opportunity to build an exceptional team. - Competitive equity: stock options with meaningful upside as we scale. - Compensation and benefits tailored to the role's scope and employing location, with details agreed during the hiring process. ## About Humanoid ## Company Overview - **One-liner**: Humanoid builds commercially scalable, safe, and reliable humanoid robots designed to automate labor-intensive industrial tasks across warehousing, logistics, manufacturing, and retail. - **Entity Type**: Private (Seed stage) - **Headquarters**: London, United Kingdom (HQ) with offices in Cambridge, MA, USA; Burnaby, BC, Canada; and additional presence in Germany, Georgia, and the UAE. - **Founded**: 2024 - **Founders**: Artem Sokolov (CEO & Founder) ## Core Business - **Primary industry/industries**: Robotics Engineering, Humanoid Robotics, Industrial Automation, Artificial Intelligence - **Target customers**: B2B / Enterprise — industrial sectors including retail, e-commerce, third-party logistics (3PL), manufacturing, and automotive. - **Mission or purpose statement**: “Empowering humanity by building the most reliable, safe, and helpful humanoid robots.” The company aims to free people from repetitive, dangerous, and tedious work, allowing them to engage in more creative and meaningful activities. ## Products & Services - **HMND 01 Alpha Wheeled**: A robust industrial-grade wheeled humanoid robot designed for material handling, pick-and-place, and visual inspection in warehouses and factories. Prioritizes reliability, low total cost of ownership (TCO), and minimal maintenance. - **HMND 01 Alpha Bipedal**: A bipedal humanoid robot for more complex environments requiring advanced locomotion, navigation of confined spaces, and higher dexterity. Features human-level manipulation speeds and walking speeds up to 1.5 m/s. - **KinetIQ**: An AI framework for orchestrating fleets of humanoid robots across both wheeled and bipedal platforms, enabling centralized control and task optimization. - **Modular Garments**: Exchangeable protective “garments” that allow HMND 01 robots to adapt to different use cases and environments, minimizing contamination and collision damage while enabling functional customization. ## Market Standing - **Valuation/Market Cap**: Not disclosed. - **Key Metric**: Total funding of **$50 million** (Seed round closed October 2025, with 1 lead investor). - **Notable Investors/Partners**: Strategic partners include leading global companies in AI, cloud computing, and research. Specific partner names are not publicly listed on the website, but the company highlights collaboration with commercial partners to scale deployment. - **Growth Signals**: - Headcount grew **139.2% YoY** to ~182 employees (as of mid-2026), with 65 active job postings. - Opened offices in London, Boston, and Vancouver within its first year. - Team includes talent recruited from major robotics and AI firms: Sanctuary AI, Boston Dynamics, Dyson, Arrival, Ocado Technology, 1X, Wayve, Apptronik, and Brain Corp. - Focus on initial target sectors representing a combined $12 trillion in annual payroll and 250 million workers. ## Competitive Advantages - **Human-centric design**: The world is already designed for humans, so humanoids can seamlessly integrate into existing environments without costly redesign. - **Modularity**: HMND 01’s hardware/software modularity enables multi-task performance and easy repurposing, reducing the need for specialized robots. - **Reliability & low TCO**: Prioritizing hardware and software stability over raw performance to deliver industrial-grade robustness suitable for mass commercialization. - **KinetIQ fleet orchestration AI**: Proprietary framework for managing mixed fleets of wheeled and bipedal robots, differentiating from competitors focused on single-form-factor robots. - **Experienced leadership**: CEO Artem Sokolov previously scaled a family manufacturing business into a billion-dollar enterprise (EY Entrepreneur of the Year 2021). The CTO, Jarad Cannon, has extensive experience translating research into deployment-ready robotics systems. ## Strategic Focus - **Near-term (2027)**: Deploy robots for physical tasks in manufacturing, warehousing, logistics, and retail — tackling repetitive, dangerous, and tedious manual work. - **Medium-term (2029)**: Expand into the service sector, targeting the 70-80% of the global economy that will be services, with a focus on assisting an aging population (1.4B people over 60). - **Long-term (2031+)**: Enter households as assistants and companions, potentially revolutionizing everyday life across 3.5 billion homes. - **Core strategy**: Partner with leading global companies in AI, cloud, and research for technology development, and with commercial partners for scaled deployment. The company believes the humanoid TAM will reach $38 billion by 2035 and $1 trillion by 2050. ## Why Work Here - **High-growth environment**: Company grew headcount by 139% in a single year, indicating rapid scaling and opportunity for career advancement. 65+ open roles suggest strong hiring momentum. - **Talent from top robotics firms**: Team includes alumni from Boston Dynamics, Sanctuary AI, Dyson, Ocado Technology, Arrival, Wayve, and others — offering a deep learning and collaboration environment. - **Technical focus**: Engineering and technical roles represent 38% of the workforce, with senior-level hires at 23% of the team. The company emphasizes hardware, AI, machine learning, and control systems. - **Mission-driven**: Clear purpose to automate undesirable, unsafe, and repetitive work — appealing to candidates who want to make a tangible societal impact. - **Global presence**: Offices in London (HQ), Cambridge (USA), and Burnaby (Canada), plus operations in 16 countries — offering potential for international mobility and remote collaboration. - **Innovation culture**: Described as a place where engineers and researchers “move from demo to deployment” and “not just in the lab.” The CTO emphasizes building systems that perform in the real world from day one. - **Office/Hybrid policy**: Not explicitly stated, but the company has physical offices in three countries and a distributed team across 16 nations — likely supports hybrid/remote with in-office collaboration for engineering roles. ## Sources 1. [thehumanoid.ai](https://thehumanoid.ai/) 2. [thehumanoid.ai/about-us/](https://thehumanoid.ai/about-us/) 3. [thehumanoid.ai/team/](https://thehumanoid.ai/team/) 4. [thehumanoid.ai/careers/](https://thehumanoid.ai/careers/) 5. [LinkedIn Company Page](https://www.linkedin.com/company/humanoidai) 6. [Jobs.ashbyhq.com/humanoid](https://jobs.ashbyhq.com/humanoid) ## Other roles at Humanoid - [Robotics Applied Research Lead](https://feeny.ai/job/robotics-applied-research-lead-humanoid-london-kdzy2nr1hm5n) — London, United Kingdom - [Senior Group Accountant](https://feeny.ai/job/senior-group-accountant-humanoid-london-cqasb4hw8wxf) — London, United Kingdom - [Field Operations Team Lead / Shift Supervisor](https://feeny.ai/job/field-operations-team-lead-shift-supervisor-humanoid-germany-5rkne6a7vwkx) — Germany - [Senior Robotics Integration Engineer](https://feeny.ai/job/senior-robotics-integration-engineer-humanoid-us-san-diego-jwbdn8yvkj2d) — US San Diego, CA - [Senior Prototype Engineer](https://feeny.ai/job/senior-prototype-engineer-humanoid-canada-vancouver-h4es3e704yrh) — Canada Vancouver, Canada - [Director, Contracts & Business Support](https://feeny.ai/job/director-contracts-business-support-humanoid-london-zfx1ydmqtkb3) — London, United Kingdom - [Cloud Infrastructure Engineer](https://feeny.ai/job/cloud-infrastructure-engineer-humanoid-london-2c3keb64kq3c) — London, United Kingdom - [Technical Program Manager](https://feeny.ai/job/technical-program-manager-humanoid-london-rn0n02fe7xm0) — London, United Kingdom - [Engineering Lead, Developer Productivity (AI & Agents)](https://feeny.ai/job/engineering-lead-developer-productivity-ai-agents-humanoid-london-dpsp89mgyyqz) — London, United Kingdom - [Head of Workplace & Facilities](https://feeny.ai/job/head-of-workplace-facilities-humanoid-london-htk5bj3g5c50) — London, United Kingdom