{"id":2094355,"url":"https://alion.io/job/humanoid-internship-spatial-ai-and-navigation","title":"Internship - Spatial AI and Navigation","company":{"id":35230,"name":"Humanoid","domain":"thehumanoid.ai","url":"https://alion.io/company/thehumanoid","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"B","score":75,"open_postings":10,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":56,"computed_at":"2026-10-20T05:45:00Z"}},"role":"Early Careers","role_family":"Early Careers","seniority":"intern","employment_type":"internship","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["London, United Kingdom"],"countries":["GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":41000,"max_usd":64000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":85},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"Computer Vision","optional":false},{"name":"Embodied AI","optional":false},{"name":"GitHub","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multimodal AI","optional":false},{"name":"PyTorch","optional":false}],"status":"closed","first_seen_at":"2026-10-08T13:45:26Z","employer_posted_date":"2026-10-08","last_verified_at":"2026-10-19T10:53:22Z","board_verified":false,"closed_at":"2026-10-19T10:53:22Z","days_open":10,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":10},"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.\nOur Mission\nWe’re building software systems that enable robots to operate effectively in the real world expanding human capability and redefining how work gets done.\nThe Opportunity\nWe’re looking for interns who are curious, proactive, and excited to work on real-world robotic systems.\nThis is an open-ended internship, you won’t be confined to a single component, but will work across perception, navigation, and multimodal systems, collaborating closely with the team to find where you can have the most impact.\nYou may work anywhere along the stack, from camera systems (timestamping, synchronization, validation), through perception and scene understanding, to navigation and integration with locomotion. The scope is intentionally broad. We’re looking for people who are excited to dive into unfamiliar areas and learn quickly.\nThis is a full-time internship (5 days per week) over the winter, based in our London Euston office, where you’ll contribute to real systems from early on with guidance and support from experienced researchers and engineers.\nDuration: 12 weeks | Start date: Nov | Compensation: Competitive pay + we'll keep you fed (seriously, the food is good)\nWhat you might work on\nDevelop perception systems for robot navigation and interaction in real-world environments\n\nWork on focused problems within Vision-Language(-Action) or multimodal models (components, datasets, evaluation)\n\nRun and analyse experiments using existing pipelines\n\nImprove data quality through curation and labeling\n\nExplore scene understanding, 3D perception, or navigation methods and apply them to real systems\n\nPrototype ideas and iterate quickly with guidance\n\nCollaborate on integrating models into robotic platforms\n\nWhat we’re looking for\nPursuing a degree in Computer Science, Machine Learning, Robotics, or a related field.\n\nStrong foundations in machine learning and/or computer vision.\n\nHands-on experience with PyTorch and training ML models.\n\nExperience running experiments and interpreting results.\n\nInterest in multimodal models, 3D vision, spatial reasoning, navigation or embodied AI.\n\nAbility to take ownership and iterate with guidance.\n\nStrong problem-solving skills and attention to detail.\n\nFast learner, comfortable in a research-driven, fast-moving environment.\n\nHow to apply\nComplete the challenge below and submit your solution as a public GitHub repository - include a README with instructions to run your system, example outputs, and a short note on your design choices. You will be able to include your GitHub repository URL when you fill out the application form, alongside your name and CV.\nWe’re not looking for standard solutions, we're looking for how you think. The strongest submissions are creative, original, and push beyond the obvious.\nIntern Challenge: What Changed in the Room?\nBuild a system that compares two phone recordings of the same small indoor area, such as a room, and identifies meaningful changes in 3D: moved furniture, new obstacles, or removed objects.\nRobots need to understand how their surroundings change over time. Your system should identify what changed and where it happened, while distinguishing actual changes from differences in camera viewpoint, occlusion, or incomplete observations.\nCapture two short videos using your phone, moving, adding, or removing a few objects between recordings. Record from different viewpoints, with enough overlap to compare the same space.\nAt a minimum, your system should:\nGenerate a shared 3D representation of the scene from the two recordings\n\nIdentify and visualize objects or regions that were moved, added, or removed in 3D\n\nDescribe the detected changes using semantic labels or natural language\n\nThere are no constraints on real-time performance, We’re intentionally leaving the approach open, use any tools, models, frameworks, or agentic workflows you find effective.\nWhat to submit\nA working codebase\n\nClear instructions on how to run your system\n\nExample input(s) and output(s)\n\n(Optional) A short note explaining your design choices and tradeoffs\n\nWhat we care about\nSimplicity and usability of your solution\n\nCreativity in approach\n\nQuality of spatial change detection\n\nClear, compelling presentation of results\n\nCoherence between detected changes, geometry, and semantics\n\nMake something you’re proud of!","description_format":"text","description_chars":4711,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Robotics AI","Logistics & Warehouse Robotics","Industrial Robotics"],"lifecycle":[{"event":"open","at":"2026-10-08T16:11:24Z"},{"event":"close","at":"2026-10-19T10:53:22Z"}],"visa":[],"liveness":null,"pay":null,"html_url":"https://alion.io/job/humanoid-internship-spatial-ai-and-navigation","json_url":"https://alion.io/job/humanoid-internship-spatial-ai-and-navigation.json","meta":{"generated_at":"2026-10-20T20:50:53Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":24236,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-21T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":35230},"rest":"https://alion.io/mcp/rest/get_company?id=35230"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fhumanoid-internship-spatial-ai-and-navigation"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fhumanoid-internship-spatial-ai-and-navigation"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fhumanoid-internship-spatial-ai-and-navigation"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/humanoid-internship-spatial-ai-and-navigation\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fhumanoid-internship-spatial-ai-and-navigation"}]}