{"id":4298402,"url":"https://alion.io/job/modelwise-staff-ml-scientist-engineer","title":"Staff ML Scientist / Engineer","company":{"id":4410409,"name":"Modelwise","domain":"modelwise.ai","url":"https://alion.io/company/modelwise-gmbh","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Career sitemap","truth_index":{"grade":"A","score":100,"open_postings":329,"ghost_share":0.012,"stale_share":0.152,"repost_share":0.064,"time_to_fill_p50_days":20,"computed_at":"2026-11-14T05:58:10Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"staff","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Tallinn, Estonia"],"countries":["EE"],"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":[{"name":"A/B Testing","optional":false},{"name":"Amazon S3","optional":false},{"name":"Amazon SageMaker","optional":false},{"name":"Apache Iceberg","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"CI/CD","optional":false},{"name":"dbt","optional":false},{"name":"Docker","optional":false},{"name":"GitHub","optional":false},{"name":"Java","optional":false},{"name":"Machine Learning","optional":false},{"name":"MLFlow","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Ray","optional":false},{"name":"Scikit-learn","optional":false},{"name":"Spark","optional":false},{"name":"Terraform","optional":false},{"name":"XGBoost","optional":false}],"status":"live","first_seen_at":"2026-11-13T13:28:38Z","employer_posted_date":"2026-11-13","last_verified_at":"2026-11-14T16:37:17Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"Company Description\nWise is a global technology company, building the best way to move and manage the world’s money.\nMin fees. Max ease. Full speed.\nWhether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money.\nAs part of our team, you will be helping us create an entirely new network for the world's money.\nFor everyone, everywhere.\nMore about our mission and what we offer.\nJob Description\nWe’re looking for a strong technical contributor with a background in machine learning and systems engineering. Bonus point if they owned the roadmap of services/tools used by more than one internal team.\nThis is a highly autonomous person that identifies low-hanging fruit worth tackling to move us ever closer to the vision they create for the problem-space they own. They must be able to communicate with stakeholders and users, steer short-term deliveries without compromising milestones in the roadmap, set guidelines and standards.\nThey collaborate with Data Science Leads to align work that would otherwise be siloed. They review experiments and design documents to improve projects from the get-go.\nThis role is a unique opportunity to scale and advance the impact of Data Science in Servicing tribe - namely Fincrime, KYC and Customer Support squads. What you build will have a direct impact on Wise’s mission and millions of our customers.\nAbout the Role:\nOur team exists to enable hundreds of specialized risk ML models - their lifecycle, governance and interface with compliance - while removing as much of the maintenance toil from Data Scientist and product teams.\nWe split the work in two tracks: Labels and Models\nLabels: central platform for risk labels\n Models: libraries and services to experiment, eval, promote and track models\nHistorically Wise is a company of very autonomous and distributed teams, which means different implementations exist to prevent and mitigate risk vectors.\nWe’ve invested a lot into centralizing risk assessments and their inputs (features) and have strong adoption from FinCrime, Verification, Mitigation and Global Products teams.\nWe’re now expanding this investment to the next critical component in scaling Wise: more and better ML /AI while keeping auditors and regulators happy.\nHere’s how you’ll be contributing:\nSoftware engineering: e.g. testing + CI/CD, monitoring/alerting + disaster recovery\nMLOps: Terraform and AWS infra, ML governance for hundreds of models\nData Engineering: distributed processing at terabyte scale\nScience: drive experiments to prove value of new methodologies / algorithms applied to cross-team domains\nYou will drive high-priority projects from proof-of-concept to MVP, to service / tooling, estimate and measure impact.\nQualifications\nA bit about you:\nExtensive experience with end-to-end distributed data systems, specially ML-centric ones;\nPrevious experience as Data/ML Scientist/Engineer in large scale product;\nExcellent Software Engineering skills. Ability to work with Python and Java;\nStrong drive to solve problems for Data Scientists, high agency in complex scenarios;\nAbility to build incrementally, think from first principles and prioritize simpler solutions;\nGood communication skills with technical and non-technical audiences, to engage and manage project stakeholders;\nStrong problem solving skills with the ability to help refine problem statements and propose solutions taking effort-impact-scalability tradeoff into account;\nSome skills that will make you stand out:\nApache Spark, Iceberg, Kafka, dbt, GraphFrames, Ray\nScikit-Learn, XGBoost, PyTorch, MLFlow, Graph ML\nAWS (S3, EMR, SageMaker, Lakeformation)\nTerraform, Docker, GitHub CI/CD\nA/B testing. ML explainability\nAdditional Information\nInterested? Find out more:\nHow we work - a practical guide\n\nDEI @ Wise\n\nOur Data Science career map\n\nWhat do we offer:\nWise's Restricted Stock Units (RSU's).\n\nBenefits at Wise and our offices\n\nFor everyone, everywhere. We're people building money without borders - without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive.\nWe're proud to have a truly international team, and we celebrate our differences.\nInclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers.\nIf you want to find out more about what it's like to work at Wise visit Wise.Jobs.\nKeep up to date with life at Wise by following us on LinkedIn and Instagram.","description_format":"text","description_chars":4619,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Restricted stock units"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Simulation & Digital Twin Software","Industrial AI","Manufacturing & Industrial Software"],"lifecycle":[{"event":"open","at":"2026-11-14T02:28:27Z"}],"visa":[{"country":"EE","licensed_sponsor":false,"adverts_offering_sponsorship_24m":7,"sanctioned_now":false,"evidence":"Offered visa sponsorship in 7 of its adverts here in 24 months","filings_12m":null,"filings_prev_12m":null,"green_card_filings_12m":null,"median_offered_wage_usd":null,"route":null,"cap_exempt":false,"checked_at":"2026-11-14T07:33:33+00:00","sources":["Alion: sponsorship offered in the employer's own job adverts (24 months)"],"filings_for_role_12m":0}],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":0,"expected_fill_days":20,"reasons":["conf:3","velocity","win:early","comp:brand"],"computed_at":"2026-11-14T05:58:10Z"},"pay":null,"html_url":"https://alion.io/job/modelwise-staff-ml-scientist-engineer","json_url":"https://alion.io/job/modelwise-staff-ml-scientist-engineer.json","meta":{"generated_at":"2026-11-14T19:49:05Z","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":24537,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-15T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.1,"usd":0.01,"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":4410409},"rest":"https://alion.io/mcp/rest/get_company?id=4410409"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fmodelwise-staff-ml-scientist-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"free","price":{"credits":0,"usd":0},"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%2Fmodelwise-staff-ml-scientist-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.1,"usd":0.01},"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%2Fmodelwise-staff-ml-scientist-engineer"},{"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/modelwise-staff-ml-scientist-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fmodelwise-staff-ml-scientist-engineer"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":4298402}},{"tool":"search_jobs","arguments":{"company":"modelwise.ai","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":4298402},"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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