{"id":3195747,"url":"https://alion.io/job/plantingspace-analytic-learning-algorithm-research","title":"Analytic Learning Algorithm Research","company":{"id":689680,"name":"PlantingSpace","domain":"planting.space","url":"https://alion.io/company/planting","size_band":"11-50","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"B","score":75,"open_postings":4,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-28T05:59:10Z"}},"role":"Science & Research","role_family":"Science & Research","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":[],"countries":[],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[],"status":"live","first_seen_at":"2025-03-25T13:48:13Z","employer_posted_date":"2025-03-25","last_verified_at":"2026-10-28T21:44:27Z","board_verified":true,"closed_at":null,"days_open":582,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":581},"description":"We're building a system that represents domain knowledge as modular probabilistic models - making analysis rigorous and transparent. Users can connect these models flexibly into larger structures. The system enforces consistency across them, and propagates uncertainty through each step. Our first applications are in finance and scientific research, with use cases ranging from equity valuation and distress monitoring, to particle physics.\nWe are looking for full-time researchers to contribute to the development and analysis of our learning algorithms. You will work on interesting theoretical problems with immediate applicability to implementation of our system.\nOur team works fully remotely, and mostly within the CET timezone.\nUseful experience\nDevelopment of mathematical analysis methods, for example: optimal transport, information geometry, continuous optimization methods\n\nAnalysis of probabilistic graphical models, including factor graphs\n\nImplementation of tractable density estimators (normalising flows, autoregressive density models, probabilistic circuits)\n\nTranslation between equational reasoning and code implementation\n\nMathematics, Computer Science, or Statistics advanced degree (with PhD or equivalent research experience)\n\nResponsibilities\nDevelop numerical-analytical models of learning in our system\n\nConnect our research to existing literature\n\nProve properties of algorithms and design experiments to validate results empirically\n\nLeverage the expertise of other team members effectively\n\nWrite clean and well documented code\n\nHelp other team members to deliver on their goals\n\nHow we work\nHierarchical goals, not personal hierarchies: We organise around a transparent tree of goals and tasks. Every quarter we plan milestone goals, which branch down into smaller and smaller tasks. This tree is the foundation of how we organise, not a side tool.\n\nTransparency: Everyone should have access to every opportunity in the team that they can realistically handle. All goals, tasks, and the reasoning behind them are visible to everyone.\n\nDecisions become tasks: When something is discussed and decided, it gets captured as a task in the right place in the tree, so that nothing dissipates as hot air.\n\nWritten and asynchronous by default: We are fully remote and document our learnings in writing. Communication happens transparently in shared channels, not in private threads and one-on-ones.\n\nGrowing from leaf to tree: New joiners start from smaller leaves of the tree and work themselves up to ownership of larger branches as trust and understanding build. Teams form around topics and dissolve when the work is done; people move to where they are most useful.\n\nOn our website you can find more about our team and work culture, as well as example tasks that share some insight into the type of things team members are working on.\nWhat we do: https://planting.space/\nWays of work: https://planting.space/org/\nTeam culture and example tasks: https://planting.space/joinus/","description_format":"text","description_chars":3003,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"phd","optional":false},"security_clearance":false,"languages":[]},"benefits":["Equity"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Knowledge Graphs","AI for Science"],"lifecycle":[{"event":"open","at":"2026-10-24T04:45:06Z"}],"visa":[],"liveness":{"score":5,"band":"cold","label":"Long shot","p_open":1,"p_active":0.17,"p_room":0.28,"age_days":581,"expected_fill_days":12,"reasons":["conf:2","win:tail","crowd:"],"computed_at":"2026-10-28T05:59:10Z"},"pay":null,"html_url":"https://alion.io/job/plantingspace-analytic-learning-algorithm-research","json_url":"https://alion.io/job/plantingspace-analytic-learning-algorithm-research.json","meta":{"generated_at":"2026-10-29T01:22:07Z","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":1970,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-30T00:00:00Z"}},"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":689680},"rest":"https://alion.io/mcp/rest/get_company?id=689680"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fplantingspace-analytic-learning-algorithm-research"},{"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%2Fplantingspace-analytic-learning-algorithm-research"},{"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%2Fplantingspace-analytic-learning-algorithm-research"},{"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/plantingspace-analytic-learning-algorithm-research\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fplantingspace-analytic-learning-algorithm-research"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3195747}},{"tool":"search_jobs","arguments":{"company":"planting.space","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3195747},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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