{"id":4078321,"url":"https://alion.io/job/klarna-seniorlead-machine-learning-engineer-for-product-data","title":"Senior/Lead Machine Learning Engineer for Product Data","company":{"id":11,"name":"Klarna","domain":"klarna.com","url":"https://alion.io/company/klarna","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Deel","truth_index":{"grade":"B","score":83,"open_postings":4,"ghost_share":0,"stale_share":0.5,"repost_share":0,"time_to_fill_p50_days":120,"computed_at":"2026-11-11T05:49:22Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"lead","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Stockholm, Sweden"],"countries":["SE"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":868446,"max":1108832,"currency":"SEK","period":"year","gross":null,"usd_annual":113044},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"CI/CD","optional":false},{"name":"Multimodal AI","optional":false},{"name":"Python","optional":false},{"name":"Embeddings","optional":true},{"name":"Fine-tuning","optional":true},{"name":"Function Calling","optional":true},{"name":"LLM","optional":true},{"name":"Model Context Protocol","optional":true},{"name":"Pydantic AI","optional":true},{"name":"TensorRT","optional":true},{"name":"Triton","optional":true}],"status":"live","first_seen_at":"2026-11-11T13:46:10Z","employer_posted_date":"2026-11-11","last_verified_at":"2026-11-11T16:13:58Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Klarna, briefly\nAt Klarna, we’re building an everyday finance network, helping over 120 million consumers across 26 countries save time and money, and worry less about their finances. Working here means taking on problems most companies never get to solve, and being hands-on enough that the interesting part of the work lands with you, not someone else - you’ll build with AI, not watch it happen.\nThis is the stretch zone. Come find out what you’re capable of.\nAbout the role\nKlarna’s product catalog covers more than 150 million products, matched to over a billion merchant listings in the US and across Europe. A catalog this big only works if the data is complete and accurate. Wrong match, wrong color, missing attribute, and someone buys the wrong thing or never finds the right one. You’ll join the data science team that prevents that and owns the ML and AI layer of the catalog, so our users and any shopping agent can find the right product at the right price. The catalog powers product discovery, price comparison and agentic commerce.\nThe work covers three areas:\nMatching: deciding which merchant listings are the same product, and catching wrong matches and duplicates.\n\nEnrichment: extracting and verifying category, brand, color and other attributes from text and images.\n\nQuality agents: AI agents that find and fix catalog errors using tools, with access to Hive, our product catalog system.\n\nWe’re also building a multimodal foundation model that will support multiple use cases through unified predictions, replacing many specialized models while keeping the speed and cost-efficiency that high-volume decisions need.\nIt’s a small, high-ownership team that ships to production often, building an AI-native catalog where models match, verify and fix products, with humans only where they add value.\nWhat you’ll do\nTake models from training to production, owning data pipelines, training, evaluation and the serving path.\n\nDecide which model runs where and how it scales on GPUs, setting latency and cost targets for each.\n\nBuild an evaluation for every change: precision and recall, threshold calibration, labeling and QA design, and checks that offline results hold up online.\n\nDevelop our quality agents and measure how well they fix catalog data.\n\nMonitor each change after it ships, and explain model decisions to backend, operations and product colleagues.\n\nWho you are\nYou’ve taken ML models from training to production in a live system.\n\nYou have hands-on deep learning experience.\n\nYou write production-quality Python: tests, code review, CI/CD, containers.\n\nYou’re rigorous about measuring whether models actually work, and know how to choose metrics and thresholds.\n\nYou’ve worked with LLMs and can reason about quality, cost and latency trade-offs.\n\nYou communicate clearly with colleagues in backend, operations and product.\n\nBonus points if\nYou’ve optimized GPU inference (Triton, TensorRT or similar) or trained deep learning models at scale.\n\nYou’ve worked with multimodal models that combine images and text, including pretraining or fine-tuning, embeddings or similarity search.\n\nYou’ve built LLM agents with tool use through MCP, pydantic-ai or a similar framework.\n\nYou’ve built an ML pipeline from scratch, choosing the orchestration, storage and training stack yourself.\n\nThings you should know before applying\nYou’ll be based in Stockholm, working in a team of six data scientists and ML engineers who collaborate with colleagues across Europe.\n\nGPU capacity can be tight at times, and the team regularly fields questions from colleagues about model decisions.\n\nPlease include a CV in English. Concrete beats comprehensive - what you built, what it did, what it cost.Curious to learn more about Klarna and what it’s like to work here? Explore our career site!","description_format":"text","description_chars":3802,"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":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Payment Processing & Gateways","Buy Now, Pay Later"],"lifecycle":[{"event":"open","at":"2026-11-11T16:13:58Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":120,"reasons":["conf:5","win:early"],"computed_at":"2026-11-11T21:36:27Z"},"pay":{"stated_usd_annual":113044,"is_top_pay":false},"html_url":"https://alion.io/job/klarna-seniorlead-machine-learning-engineer-for-product-data","json_url":"https://alion.io/job/klarna-seniorlead-machine-learning-engineer-for-product-data.json","meta":{"generated_at":"2026-11-11T21:36:27Z","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":42515,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-12T00:00:00Z"}},"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":11},"rest":"https://alion.io/mcp/rest/get_company?id=11"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fklarna-seniorlead-machine-learning-engineer-for-product-data"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":2,"usd":0.2},"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%2Fklarna-seniorlead-machine-learning-engineer-for-product-data"},{"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%2Fklarna-seniorlead-machine-learning-engineer-for-product-data"},{"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/klarna-seniorlead-machine-learning-engineer-for-product-data\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fklarna-seniorlead-machine-learning-engineer-for-product-data"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":4078321}},{"tool":"search_jobs","arguments":{"company":"klarna.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":4078321},"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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