Humanoid

About the Company

In a world where artificial intelligence opens up new horizons, our faith in its potential unveils a new outlook where, together, humans and machines build a new future filled with knowledge, inspiration, and incredible discoveries.

The development of a functional humanoid robot underpins an era of abundance and well-being where poverty will disappear, and people will be able to choose what they want to do.

We can imagine millions of bipedal robots doing more work than all human labour does today freeing people from the servitude of some repetitive and boring tasks that nobody likes to perform.

We believe that we have enough abundance to take care of everyone who is displaced. Eventually, providing a universal basic income will lead to the true evolution of our civilization.

Labor shortages loom, as the demands on our built environment rise. With the world’s workforce increasingly moving away from undesirable tasks, the manufacturing, construction, and logistics industries critical to our daily lives are left exposed.

By deploying our general-purpose humanoid robots in environments deemed hazardous or monotonous, we envision a future where human well-being is safeguarded while closing the gaps in critical global labour needs.

Listed Jobs

Company Name

Humanoid

Job Title

Deep Learning Engineer

Job Description

Job title: Deep Learning Engineer Role Summary: Design, train, and deploy deep‑learning models for humanoid manipulation and navigation. Manage the end‑to‑end pipeline from data collection and curation through simulation, tele‑operation, and edge inference. Expectations: • 3+ years of real‑world deep‑learning system development with shipped models or published results. • Proven ability to train and fine‑tune large‑scale models (LLMs, VLMs, or generative models). • Strong Python, PyTorch or JAX expertise. • Experience with distributed training, data streaming, and model deployment for latency‑constrained edge devices. Key Responsibilities: - Train policies using representation learning, behaviour cloning, and reinforcement learning, overseeing the full data‑to‑deployment cycle. - Collaborate with tele‑operation teams to define high‑quality data requirements, ensure diversity, and close simulation–real gaps. - Operate pre‑/mid‑/post‑training on multimodal LLM/VLM/VLA stacks, integrating new modalities without disrupting existing pipelines. - Build and maintain continuous engineering pipelines: ingest simulation and tele‑op logs, checkpoint data, apply weak‑supervision labeling, curate balanced datasets, and surface failure cases for retraining. - Work with MLOps and Data Platform teams to scale distributed training and optimize models for real‑time edge inference. Required Skills: - Deep‑learning system development (research or industry) with deployed models. - Hands‑on experience with at least one of: large language models, large vision models, or image/video generative models (architecture, training, inference). - Deep‑learning infrastructure expertise: dataset streaming, checkpointing, state management, distributed training strategies. - Strong Python with PyTorch or JAX; ability to profile, debug numerics, and write maintainable research code. - Clear experimental documentation and concise communication of trade‑offs. Required Education & Certifications: - Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Machine Learning, Robotics, or a related technical field (equivalent industry experience acceptable). - No mandatory certifications, but familiarity with AI/ML tooling (e.g., TensorFlow, PyTorch) is required.

London, United kingdom

On site

22-11-2025

Company Name

Humanoid

Job Title

Business AI Lead (Back Office)

Job Description

**Job Title:** Business AI Lead (Back Office) **Role Summary** Lead the design, deployment, and scaling of AI‑powered automation initiatives across core back‑office functions—Finance, HR, Supply Chain, Legal, and Compliance—to enhance efficiency, accuracy, and data‑driven decision making while ensuring responsible and compliant AI use. **Expectations** - Deliver measurable improvements in process efficiency and accuracy for pilot projects. - Provide clear KPIs and ROI evidence to senior stakeholders. - Foster cross‑functional adoption and sustain long‑term integration of AI solutions. **Key Responsibilities** 1. **Identify AI Opportunities** – Scan routine, rule‑based workflows for AI enablement; prioritize initiatives based on impact potential. 2. **Pilot Leadership** – Design, execute, and monitor pilots in areas such as financial reporting automation, compliance monitoring, and supplier data enrichment. 3. **Metrics & Reporting** – Quantify efficiency, accuracy, and cost savings; present findings to functional heads and leadership. 4. **Architecture & Governance** – Partner with IT to ensure data quality, tool integration, security; collaborate with Compliance to satisfy regulatory and ethical standards. 5. **Adoption & Scaling** – Build relationships with capability owners; develop reusable automation frameworks; drive organization‑wide adoption. 6. **Continuous Improvement** – Incorporate feedback, iterate solutions, and embed lessons learned into future projects. **Required Skills** - 8+ years of business operations, transformation, or automation leadership experience. - Deep operating knowledge of Finance, HR, or Supply Chain systems (ERP, HCM, etc.). - Proven track record deploying AI, RPA, or analytics tools in operational contexts. - Strong analytical mindset; ability to translate business challenges into data‑driven AI solutions. - Excellent communication, stakeholder management, and project management skills. - Familiarity with process mining, intelligent document understanding, and compliance‑automation tools (preferred but not mandatory). **Required Education & Certifications** - Bachelor’s degree in Business Administration, Finance, Computer Science, Engineering, or related field (Master’s preferred). - Certifications in AI/ML, RPA (e.g., UiPath, Automation Anywhere), or business analytics are advantageous.

London, United kingdom

On site

Senior

24-11-2025

Company Name

Humanoid

Job Title

AI Data Collector

Job Description

**Job title:** AI Data Collector **Role Summary:** Collect, annotate, and manage high‑quality multimodal data from humanoid robots using the Universal Manipulator Interface (UMI). Operate robots consistently, adhere to strict data‑quality protocols, and contribute to continuous improvement of data‑collection workflows. **Expectations:** - Perform on‑site data collection shifts (06:30–14:30 or 14:30–22:30, weekly rota). - Work hands‑on with physical robots; travel may be required. - Maintain focus, accuracy, and efficiency during repetitive tasks. - Communicate findings, anomalies, and suggestions clearly to team members. **Key Responsibilities:** - Teleoperate humanoid robots with precision and ownership of data quality. - Execute structured tasks in UMI environment and capture video, motion trajectories, and task logs. - Annotate and label datasets according to strict guidelines, ensuring high accuracy. - Identify and report anomalies or issues, providing solutions or escalation as needed. - Suggest workflow, process, or tool improvements to enhance data collection. - Document progress, dataset quality, and any deviations in clear, transparent reports. - Meet daily and weekly targets, manage time effectively, and maintain urgency. - Collaborate with engineers, researchers, and product experts to support a high‑performing culture. **Required Skills:** - Comfort with computers and digital interfaces. - Exceptional attention to detail and ability to follow precise instructions. - Strong time‑management and reliability in meeting targets. - Ability to maintain high‑quality output during repetitive tasks. - Proactive mindset and initiative without explicit direction. - Clear, transparent communication for reporting and collaboration. - Basic interest or willingness to learn about robotics, AI, or emerging technologies. **Required Education & Certifications:** - No formal technical education required. - Full on‑site training will be provided.

London, United kingdom

On site

17-12-2025

Company Name

Humanoid

Job Title

Head of Business AI

Job Description

**Job Title:** Head of Business AI **Role Summary:** Lead the enterprise-wide AI strategy, governance, and architecture to embed responsible, scalable AI across all business functions, driving automation, accuracy, and continuous improvement. **Expectations:** - 5+ years of senior experience in business AI strategy or enterprise automation. - Proven ability to define and execute cross‑functional AI roadmaps with measurable impact. - Strong track record of integrating AI solutions into technical and non‑technical domains. - Demonstrated success in influencing executive stakeholders and driving organization‑wide AI fluency. **Key Responsibilities:** 1. **AI Strategy & Governance** – Define company‑wide AI vision, operating model, ethical and security frameworks; report outcomes, risks, and opportunities to leadership. 2. **Enterprise AI Architecture** – Own platform selection, deployment patterns, and AI tool registry; ensure security, scalability, and consistency across domains. 3. **Cross‑Functional Alignment** – Lead and coordinate domain AI leads; resolve overlaps; align initiatives with business capability maturity targets. 4. **Performance & Impact** – Establish KPIs for automation maturity, accuracy, adoption, and ROI; drive reporting and stakeholder education on AI performance and trends. 5. **Adoption & Education** – Develop internal training programs to improve AI fluency; champion responsible AI practices organization‑wide. 6. **Technology Evaluation** – Continuously assess emerging AI technologies, tools, and best practices for potential adoption. **Required Skills:** - Deep knowledge of applied AI/ML tools, data architecture, and governance. - Experience designing and governing AI operating models and tool registries. - Expertise in ethical, secure, responsible AI deployment. - Strong systems thinking and ability to balance innovation with operational discipline. - Excellent communication, executive stakeholder management, and cross‑functional collaboration skills. - Proficiency in defining & tracking KPIs, ROI analysis, and performance reporting. **Required Education & Certifications:** - Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or related field. - Additional certifications (e.g., Certified AI Professional, Project Management, CMMI) are a plus but not mandatory.

London, United kingdom

On site

Mid level

23-01-2026