{"id":38920,"url":"https://alion.io/job/nubank-staff-machine-learning-engineer-recommendation-systems","title":"Staff Machine Learning Engineer, Recommendation Systems","company":{"id":13935,"name":"Nubank","domain":"nubank.com.br","url":"https://alion.io/company/nu-bank","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"A","score":100,"open_postings":9,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":37,"computed_at":"2026-10-17T05:46:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"staff","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Palo Alto, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":230000,"max":345000,"currency":"USD","period":"year","gross":null,"usd_annual":345000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Recommender Systems","optional":false},{"name":"Scala","optional":false},{"name":"Spark","optional":false}],"status":"live","first_seen_at":"2026-08-03T16:08:32Z","employer_posted_date":"2026-08-03","last_verified_at":"2026-10-17T21:30:45Z","board_verified":true,"closed_at":null,"days_open":75,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":75},"description":"About Nu\nNu serves more than 140 million customers, guided by a mission to fight complexity and empower people. The company has been leading an industry transformation through innovative products and human-centered services.\nProprietary technology and data at scale power Nu’s digital platform, built to promote financial access, advancement, and transparency. Its business model thrives on customer love and lower costs, feeding a flywheel of growth and profitability.\nVisit ourInstitutional Page\nWe're looking for a Staff Machine Learning Engineer to help lead the technical direction of our recommendation systems. This is a hands-on senior individual contributor role for someone who has shipped ML systems at scale before and wants to shape how Nubank builds them going forward.\nYou'll be a technical anchor for the team, working on problems like retrieval, ranking and multi-objective optimization pipelines, and the infrastructure that lets these systems serve millions of customers with low latency and high reliability.\nYou'll be responsible for\nSetting technical direction for recommendation systems, including architecture decisions that other engineers will build on for years.\n\nDesigning and building production ML systems for retrieval, ranking, and multi-objective optimization that operate at scale and under real latency constraints. You will be hands-on, regularly making coding contributions.\n\nLeading the most technically demanding projects on the team, from first design through production rollout.\n\nPartnering with applied scientists to move models from research into reliable, monitored production systems.\n\nRaising the technical bar for the team: reviewing designs, mentoring engineers, and pushing for better practices around testing, experimentation, monitoring, and system design.\n\nWorking directly with stakeholder teams to understand their recommendation needs and translate them into shared, reusable infrastructure rather than one-off solutions.\n\nIdentifying and fixing the structural issues that slow the team down, whether that's tooling, process, or technical debt.\n\nWe're looking for someone who has\nA strong track record building and operating large-scale ML systems in production, ideally recommendation, ranking, or personalization systems.\n\nExperience building modern recommendation systems, e.g., learned embeddings, semantic IDs, sequence models over long user histories, and conversational recommendation systems.\n\nDeep experience with the full ML engineering lifecycle: training, deployment, monitoring, data consistency, experimentation, and governance.\n\nStrong software engineering fundamentals and fluency in Python and/or Scala, or equivalent languages.\n\nReal experience with the operational side of ML: on-call, incident response, debugging systems under load.\n\nA track record of technical leadership, whether that's an official title or just being the person a team leans on for the hard calls.\n\nComfort working with ambiguity and translating loose business goals into concrete technical priorities.\n\nGood communication skills. You'll need to explain technical tradeoffs to both engineers and non-technical stakeholders.\n\nExperience with distributed systems, Spark, or similar large-scale data processing tools is a plus.\nOur Benefits\nOpportunity of earning equity at Nu\n\nTotal compensation includes base salary, RSUs and benefits. Base salary range: $230k - $345k\n\nMedical Insurance\n\nDental and Vision Insurance\n\nLife Insurance and AD&D\n\nExtended maternity and paternity leaves\n\nNucleo - Our learning platform of courses\n\nNuLanguage - Our language learning program\n\nNuCare - Our mental health and wellness assistance program\n\nExtended maternity and paternity leaves\n\n401K\n\nSaving Plans - Health Saving Account and Flexible Spending Account\n\nWork-from-home Allowance\n\nRelocation Assistance Package, if applicable.\n\nRole Location\nPalo Alto, California\n Hybrid 2-3 times/week: Our hybrid work model brings us to the office at least twice a week, on strategic days designed to maximize team connection and collaboration. For more details, visit https://building.nubank.com/nu-hybrid-work-model/\n\nOur recruitment process may involve the use of artificial intelligence-enabled tools, such as automated interview transcription and analysis, to support the evaluation process. Artificial intelligence is not used to make final hiring decisions; all decisions are made by human reviewers.\nTo maintain a consistent and fair process for every candidate, Nu does not provide individualized technical feedback. See how our policy works here","description_format":"text","description_chars":4577,"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":["401k plan","Equity","Health insurance","Hybrid work","Life insurance","Relocation assistance","Vision insurance"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":true,"industries":["Cards & Card Issuing","Digital Banks & Neobanks"],"lifecycle":[{"event":"open","at":"2026-08-03T16:08:32Z"}],"visa":[],"liveness":{"score":19,"band":"cold","label":"Long shot","p_open":1,"p_active":0.672,"p_room":0.28,"age_days":74,"expected_fill_days":37,"reasons":["conf:0","velocity","win:tail","crowd:"],"computed_at":"2026-10-17T05:46:00Z"},"pay":{"stated_usd_annual":345000,"is_top_pay":true},"html_url":"https://alion.io/job/nubank-staff-machine-learning-engineer-recommendation-systems","json_url":"https://alion.io/job/nubank-staff-machine-learning-engineer-recommendation-systems.json","meta":{"generated_at":"2026-10-17T23:03:33Z","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":1288,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-18T00:00:00Z"}},"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":13935},"rest":"https://alion.io/mcp/rest/get_company?id=13935"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fnubank-staff-machine-learning-engineer-recommendation-systems"},{"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%2Fnubank-staff-machine-learning-engineer-recommendation-systems"},{"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%2Fnubank-staff-machine-learning-engineer-recommendation-systems"},{"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/nubank-staff-machine-learning-engineer-recommendation-systems\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fnubank-staff-machine-learning-engineer-recommendation-systems"}]}