{"id":1222513,"url":"https://alion.io/job/dunia-ml-researcher-representation-learning","title":"ML Researcher, Representation Learning","company":{"id":2222519,"name":"Dunia","domain":"dunia.ai","url":"https://alion.io/company/dunia-ai","size_band":"11-50","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Personio","truth_index":{"grade":"D","score":40,"open_postings":10,"ghost_share":1,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-01T05:45:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Berlin, Germany"],"countries":["DE"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":81000,"max_usd":185000,"period":"year","method":"role_seniority_country_cell","sample_n":8},"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false},{"name":"Multimodal AI","optional":false}],"status":"live","first_seen_at":"2026-02-06T13:28:03Z","employer_posted_date":"2026-02-06","last_verified_at":"2026-10-01T15:16:24Z","board_verified":true,"closed_at":null,"days_open":237,"trust":{"level":"ghost","repost_count":0,"flags":["stale","company_stale"],"days_open":236},"description":"Your mission\nInvent the representations that make matter legible to machines Most AI systems succeed because the world they model is forgiving. Materials discovery is not.\nAt Dunia, we are building AI systems that must reason about molecules, materials, and physical processes across scales, regimes, and sparse data. The limiting factor is not model size. It is representation.\nAs ML Researcher, Representation Learning, you work on the hardest layer of AI for Materials: deciding what the machine should see. You invent representations that let models generalize, transfer, and reason under uncertainty, and you test those ideas inside real discovery loops that include experiments and simulations.\nThis role is for someone who wants their representation ideas to matter beyond papers.\nYour tasks will include:\nDefine how matter is encoded Design representations for molecules, materials, and processes that respect physical and chemical structure\nDecide what information should be explicit, implicit, or learned\nBuild abstractions that transfer across tasks and domains\nBuild multi-modal foundation models Combine graphs, sequences, text, images, simulations, and experimental data\nExplore how different modalities reinforce or contradict each other\nMove beyond benchmark metrics toward models that support real decisions\nWork where research meets reality Test ideas in production-grade systems used by scientists\nCollaborate closely with chemists, physicists, and automation teams\nLearn quickly which ideas hold up and which don’t\nPush representation learning forward Introduce probabilistic reasoning and uncertainty awareness\nChallenge existing paradigms when they break down in physical domains\nHelp shape the broader direction of AI-native science at Dunia\nYour profile\nPhD or equivalent training in machine learning, computer science, or a closely related quantitative field, with4-8 years of post-degree experience in research-driven ML roles\nDeep experience in representation learning and modern deep learning architectures\nTrack recordof designing representations for structured or scientific data that generalize beyond a single task or dataset\nStrong software engineering skills, with experience turning research ideas into robust, maintainable systems\nComfortable working at the boundary ofresearch and production, theory and engineering\nCurious about the physical world and motivated by applying ML to chemistry, physics, or materials\nWilling to challenge existing paradigms when they break down in real-world settings\nFluent in English; additionallanguage desirable","description_format":"text","description_chars":2582,"description_truncated":false,"requirements":{"experience_years_min":4,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"phd","optional":true},"security_clearance":false,"languages":[{"language":"English","level":"Advanced (C1)","optional":false}]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-09-25T12:38:24Z"}],"liveness":{"score":4,"band":"cold","label":"Long shot","p_open":1,"p_active":0.143,"p_room":0.28,"age_days":236,"expected_fill_days":26,"reasons":["conf:13","stale_co","ghost","win:tail","crowd:"],"computed_at":"2026-10-01T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/dunia-ml-researcher-representation-learning","json_url":"https://alion.io/job/dunia-ml-researcher-representation-learning.json","meta":{"generated_at":"2026-10-01T21:12:53Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"assistant","counted_by":"address","units_charged":1,"used_today":228,"day_limit":2000,"remaining_today":1772,"minute_limit":60,"resets_at":"2026-10-02T00:00:00Z"}}}