{"id":3686812,"url":"https://alion.io/job/tomtom-applied-scientist-2","title":"Applied Scientist","company":{"id":54490,"name":"TomTom","domain":"tomtom.com","url":"https://alion.io/company/tomtom","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":{"grade":"B","score":81,"open_postings":7,"ghost_share":0,"stale_share":0.571,"repost_share":0,"time_to_fill_p50_days":80,"computed_at":"2026-11-07T05:47:08Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Madrid, Spain"],"countries":["ES"],"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":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Computer Vision","optional":false},{"name":"Databricks","optional":false},{"name":"Embeddings","optional":false},{"name":"GCP","optional":false},{"name":"Hallucination","optional":false},{"name":"JAX","optional":false},{"name":"Knowledge Graph","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multimodal AI","optional":false},{"name":"NumPy","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Reinforcement Learning","optional":false},{"name":"Scikit-learn","optional":false},{"name":"Spark","optional":false},{"name":"Time Series","optional":false}],"status":"live","first_seen_at":"2026-09-25T13:17:55Z","employer_posted_date":"2026-09-25","last_verified_at":"2026-11-07T12:54:55Z","board_verified":true,"closed_at":null,"days_open":43,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":43},"description":"TomTom is a global leader in navigation, mapping, and traffic information. Join our dynamic team and vibrant culture to contribute to shaping the future of location technology.\nWe are looking for an Applied Scientist to shape how AI understands and uses TomTom's location data. You'll develop machine learning models and design the systems that let LLMs reason accurately over maps, traffic, points of interest and routing. You'll turn open-ended product questions into well-defined scientific problems, validate solutions with rigorous evaluation, and work with AI and software engineers to bring them to production.\nWhat you'll do:\nLLM-data interfaces: Research and design how LLMs access and reason over TomTom's data. This covers retrieval strategies for structured and geospatial data, tool and API designs that LLMs can use reliably, text-to-query approaches, and grounding techniques. \nData representation: Develop representations that make location data usable by AI, such as embeddings for geospatial entities, knowledge graphs and structured context formats. \nEvaluation science: Define how we measure whether LLM-powered systems are right. Build benchmarks, factuality and hallucination metrics, and evaluation datasets for location-grounded tasks, and work with engineers to automate them. \nModel research and development: Design, train and fine-tune ML and deep learning models, including LLMs, computer vision, time-series and graph-based methods, using large-scale, multi-modal data. \nProblem framing: Work with product managers and stakeholders to identify high-impact opportunities and turn them into well-defined scientific problems with clear success metrics. \nResearch to production: Write production-quality code and work with AI and software engineers to take solutions from prototype to production, balancing accuracy, latency, cost and scalability. \nState of the art: Keep up with the latest research in LLMs, retrieval and agentic systems, and adapt promising techniques to TomTom's problems. \n Knowledge sharing: Communicate findings clearly to technical and non-technical audiences, and help build a strong scientific culture. External publications and patents are encouraged.\nWhat you'll need:\nBachelor’s, Master's or PhD in Computer Science, Machine Learning, Statistics, Mathematics, Physics or a related quantitative field, or equivalent professional experience. \nStrong foundations in machine learning, deep learning, statistics and optimization. \nHands-on experience with modern deep learning frameworks such as PyTorch or JAX, and with the Python scientific stack (NumPy, pandas, scikit-learn). \nExperience with one or more of: LLMs and generative AI, computer vision, time-series forecasting, graph neural networks, or reinforcement learning. \nProven ability to design experiments, define meaningful metrics and draw sound conclusions from data. \nExperience working with large-scale datasets and distributed computing (e.g., Spark, Databricks, or cloud ML platforms on Azure, AWS or GCP). \nAbility to write clean, maintainable code and to work with engineers toward production deployment. \nExcellent communication skills, with the ability to explain complex technical ideas to diverse audiences. \nA track record of publications at top-tier venues (e.g., NeurIPS, ICML, CVPR, KDD) is a plus. \nExperience with geospatial, mapping, mobility or sensor data is a plus, but not required.","description_format":"text","description_chars":3416,"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":[{"name":"Spain","iso":"ES","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Navigation & Mapping"],"lifecycle":[{"event":"open","at":"2026-11-03T15:12:56Z"}],"visa":[],"liveness":{"score":79,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.872,"p_room":0.9,"age_days":42,"expected_fill_days":80,"reasons":["conf:0","velocity","win:mid"],"computed_at":"2026-11-07T05:47:08Z"},"pay":null,"html_url":"https://alion.io/job/tomtom-applied-scientist-2","json_url":"https://alion.io/job/tomtom-applied-scientist-2.json","meta":{"generated_at":"2026-11-07T14:55:15Z","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":19694,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-08T00:00:00Z"}},"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":54490},"rest":"https://alion.io/mcp/rest/get_company?id=54490"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Ftomtom-applied-scientist-2"},{"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%2Ftomtom-applied-scientist-2"},{"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%2Ftomtom-applied-scientist-2"},{"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/tomtom-applied-scientist-2\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Ftomtom-applied-scientist-2"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3686812}},{"tool":"search_jobs","arguments":{"company":"tomtom.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3686812},"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. Docs: https://alion.io/developers"}}