{"id":2305148,"url":"https://alion.io/job/hunome-senior-data-scientist-ml-engineer","title":"Senior Data Scientist / ML Engineer","company":{"id":2654148,"name":"Hunome","domain":"hunome.com","url":"https://alion.io/company/hunome","size_band":"11-50","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"part_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Finland"],"countries":["FI"],"hiring_countries":["FI"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":59000,"max_usd":151000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":1986},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Embeddings","optional":false},{"name":"FastAPI","optional":false},{"name":"Hugging Face","optional":false},{"name":"LangChain","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Scikit-learn","optional":false},{"name":"Semantic Search","optional":false},{"name":"Semantic Search","optional":false}],"status":"live","first_seen_at":"2026-09-25T06:54:06Z","employer_posted_date":null,"last_verified_at":"2026-09-25T06:54:06Z","board_verified":false,"closed_at":null,"days_open":18,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":18},"description":"Hunome (Hunomics Ltd) is a deliberative intelligence platform — the operating system through which organisations, communities and researchers build genuine shared understanding: structured, preserved as a living map of how a group is thinking, and available to be worked with. Where collective sensemaking is the process, deliberative intelligence is what it produces.\nWe are looking for a Senior Data Scientist / ML Engineer to join our team and help develop new AI and data-driven concepts for our product.\nThis role is suited to someone who enjoys working on new unusual problems, exploring different approaches, and being able to contribute across the product process from the initial concept through experimentation and into a working product. A high level of responsibility and ownership is essential.\nYou will work closely with the product team and the technology team to excel in this role. \nWe are a remote and diverse team of 10. We launched the web-based platform in Q2 2021 as a Free Forever first tier beta. All in the team are working shareholders.\nOur collective sensemaking platform helps build multidimensional shared understanding and we analyze and find patterns in that for our members and clients. This is an exciting space for a data scientist to make a positive difference in the world.\nYou would represent what many would call a great commercially minded senior data scientist, you know what it means to be senior in that role. You are someone who is definitely wanting to make their mark in a startup, you care about what we are aiming to change in the world and you have the mindset to be consistent and persevere. Otherwise it would be just another job.\nAn immediately salaried 'job' is not what you are after but showcasing your experience in data science within a startup with unique data for the potential for massive return with the team's success (shares are your first reward, once we are funded or have sufficient revenue as we release the Premium tier we all get paid). We make it possible for you to take the first startup step in a part-time role as a working shareholder.\n\nKey responsibilitiesDevelop and evaluate new machine learning and AI concepts, from initial idea to production-ready implementation.\n\nWork with embeddings, LLMs, and other modern ML techniques to solve complex problems.\n\nDesign experiments and evaluation methods to understand and improve model performance.\n\nBuild end-to-end ML solutions, including data preparation, modelling, APIs, and integration into the product.\n\nInvestigate new technologies and research, and determine how they can be applied to our product.\n\nWork closely with product management, design and software engineers to turn ML concepts into reliable product capabilities.\n\nTake ownership of ML problems and drive them forward with minimal supervision.\n\nQualifications5+ years of experience in data science, machine learning, or a related field.\n\nStrong Python and machine learning skills, with experience using frameworks such as PyTorch, scikit-learn, Langchain or Hugging Face.\n\nPractical experience with LLMs, embeddings, semantic search, or information retrieval.\n\nStrong ability to work independently while aligning closely with product vision and AI strategy, taking ownership of ambiguous technical problems and driving them from concept to implementation.\n\nExperience taking ML ideas from experimentation to working production systems.\n\nExperience with FastAPI or similar frameworks for building ML/AI services is a strong advantage.\n\nExperience with end-to-end development of ML/AI concepts is highly valued.\n\nExperience with cloud infrastructure and production ML systems is a plus.\n\nExperience with graph data or graph databases is a plus.\n\nWhat we valueWe value people who are curious, self-directed, and comfortable exploring uncharted territory. You should be comfortable challenging conventional thinking, exploring ideas beyond the obvious, and finding thoughtful approaches to complex problems — while remaining aligned with the product vision, AI strategy, and business needs.\n\nWorking conditions20hrs per week on average, arranged flexibly to fit your salaried job\n\nRemote team - Company is based in Helsinki, Finland. Diverse team in many countries\n\nEnglish is our working language\n\nAt the moment, we cannot be a sponsor of a work permit. \n\nPlease note The team benefits from gaining direct equity, ownership in the company. The basis for gaining that is a minimum of 20hrs per week responsible commitment to have sufficient focus in order to become successful in the role. Once Hunome is ready to pay the salary, you would become 100% focused on the business and salaried. This means that you can build your startup career while continue earning a living in a day job or other part-time work. 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