{"id":2806435,"url":"https://alion.io/job/amazon-applied-scientist-eu-intech-consumer-selection-discovery-nintai","title":"Applied Scientist, EU INTech Consumer Selection Discovery, NintAI","company":{"id":19,"name":"Amazon","domain":"amazon.com","url":"https://alion.io/company/amazon","size_band":"1-10","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Career site","truth_index":{"grade":"B","score":83,"open_postings":4439,"ghost_share":0,"stale_share":0.89,"repost_share":0.001,"time_to_fill_p50_days":20,"computed_at":"2026-10-24T06:02:35Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":"full_time","work_mode":"on_site","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":{"min_usd":53000,"max_usd":128000,"period":"year","method":"role_country_seniority_unknown","sample_n":32},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":false},{"name":"Computer Vision","optional":false},{"name":"Java","optional":false},{"name":"NLP","optional":false},{"name":"Python","optional":false},{"name":"Recommender Systems","optional":false},{"name":"Linux","optional":true},{"name":"Unix","optional":true}],"status":"live","first_seen_at":"2026-06-16T00:00:00Z","employer_posted_date":"2026-10-18","last_verified_at":"2026-10-25T00:06:30Z","board_verified":true,"closed_at":null,"days_open":131,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":130},"description":"Amazon's EU International Technology (EU INTech) organisation is creating new ways for customers to discover products through innovative customer experiences. We are a science-only team within EU INTech, responsible for designing and developing AI/ML science solutions that support business needs across Amazon's global search and discovery experiences. Our mission is to make Amazon navigation easier for customers worldwide. We achieve this through two strategic pillars: making Amazon navigation more visual and improving Amazon navigation with more inspiring discovery tools and narrowing navigation.\nTo support this vision, we build and deploy AI/ML models that surface the most relevant content to hundreds of millions of Amazon customers worldwide. Our team comprises Applied Scientists and we partner with other teams, collaborating with ML Engineers, Software Developers, Product Managers, Technical Product Managers, and UX Designers. We are located in the Madrid Technical Hub.\nWe are looking for Applied Scientists who are passionate about solving highly ambiguous and challenging problems at global scale. This is a hands-on, end-to-end applied science role where you will own the full lifecycle of science solutions - from business problem analysis and science plan design, through development and experimentation, to production deployment. We are looking for AI/ML experts with knowledge on ranking, computer vision, recommendation systems, search, and customer experience design.\nWhat makes this role unique:\nEnd-to-end ownership - You will analyse business problems, map them to science plans, and design and develop solutions from ideation to production. We are owners of the full science lifecycle.\nApplied science with a research edge - While our focus is on delivering applied science solutions that drive measurable business impact, our team actively pushes the state of the art in areas such as computer vision and Generative AI.\nHands-on execution - We need scientists who thrive in building, experimenting, and shipping. What are we looking for?\nA scientist who can independently analyse any business problem and design a rigorous science approach to solve it\nStrong hands-on engineering skills - you build and ship, not just theorise\nDeep expertise in one or more of: computer vision, generative AI, recommendation systems, ranking, or NLP\nExperience taking ML models from research to production at scale\nComfort with ambiguity and the ability to structure complex, undefined problems\nA passion for customer-centric innovation and measurable impact\nA strong communicator capable to adapt the message from a science audience, to engineering or leadership Key job responsibilities\nAnalyse complex business problems and translate them into well-defined science plans with clear milestones and success criteria\nDesign, develop, and deliver ML/AI models end-to-end - from research and prototyping through to production systems at Amazon scale and extending solutions going beyond the state of the art\nWork with state-of-the-art models in computer vision, ranking and generative AI to power new customer experiences globally\nOwn major science challenges for the team, driving solutions from ideation through experimentation to production deployment\nCollaborate with a variety of roles and partner teams around the world to deliver integrated solutions\nInfluence scientific direction and best practices across the team\nMaintain high quality standards on team deliverables\nContribute to expanding the state of the art in computer vision, ranking and GenAI through publications and internal knowledge sharing\nBasic qualifications\n- Experience programming in Java, C++, Python or related language\n- Experience in building models for business application\n- PhD and experience in Computer Vision, Generative AI, Ranking, Deep Learning, Recommending\n- Systems, Natural Language Processing or related field\n- Experience in patents or publications at top-tier peer-reviewed conferences (CVPR, SIGIR, ICCV,\n- NeurIPS, RecSys, …) or journals\nPreferred qualifications\n- Experience using Unix/Linux\n- Experience in professional software development\nAmazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.\nOur inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.","description_format":"text","description_chars":5128,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"phd","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Robotics AI","Advertising","Logistics","Logistics & Warehouse Robotics"],"lifecycle":[{"event":"open","at":"2026-10-18T06:09:28Z"}],"visa":[],"liveness":{"score":3,"band":"cold","label":"Long shot","p_open":1,"p_active":0.101,"p_room":0.28,"age_days":130,"expected_fill_days":20,"reasons":["conf:1","stale_co","velocity","win:tail","crowd:brand"],"computed_at":"2026-10-24T06:02:35Z"},"pay":null,"html_url":"https://alion.io/job/amazon-applied-scientist-eu-intech-consumer-selection-discovery-nintai","json_url":"https://alion.io/job/amazon-applied-scientist-eu-intech-consumer-selection-discovery-nintai.json","meta":{"generated_at":"2026-10-25T03:03:28Z","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":4574,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-26T00:00:00Z"}},"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":19},"rest":"https://alion.io/mcp/rest/get_company?id=19"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Famazon-applied-scientist-eu-intech-consumer-selection-discovery-nintai"},{"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%2Famazon-applied-scientist-eu-intech-consumer-selection-discovery-nintai"},{"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%2Famazon-applied-scientist-eu-intech-consumer-selection-discovery-nintai"},{"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/amazon-applied-scientist-eu-intech-consumer-selection-discovery-nintai\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Famazon-applied-scientist-eu-intech-consumer-selection-discovery-nintai"}]}