About the TeamTodas las habilidades, cualificaciones y experiencia relevantes que necesitará un candidato seleccionado se enumeran en la siguiente descripción.Hopper’s Fintech Foundation team sits at the centre of the company’s mission: reshaping how more than 100 million monthly active users experience travel. It owns the pricing engine that balances customer demand against financial risk across dozens of partners—including Capital One, Air Canada, and Spirit Airlines. As an ML engineer on this team, you will directly shape how Hopper prices ancillary products in real time and at scale.About the RoleAs a Software Engineer on the Fintech Foundation team, you will design, build, and evolve the machine learning systems that power Hopper’s pricing engine. Your work will have direct impact on revenue, financial risk management, and the customer experience across the full partner portfolio. You will work closely with the Data Science, Engineering, and Product teams to deliver pricing solutions that are reliable, scalable, and oriented toward commercial outcomes.What Would Your Day‑to‑Day Look LikeDesign and implement automated, reusable training pipelines to ensure consistent, scalable model delivery across the partner portfolioBuild ETL pipelines with thoughtful feature engineering to guarantee clean, reliable inputs for pricing modelsDevelop and deploy real‑time ML pricing solutions to production, owning the full path from model to live environmentMonitor production systems for latency, drift, and training‑serving skew,



optimising continuously to maintain model integrityRun champion‑challenger tests on pricing and product construction levers to surface improvements and respond to shifting market conditionsPartner with data scientists, engineers, and product stakeholders to translate business needs into well‑scoped technical solutionsAn Adecuado Candidate Has5+ years of experience in a similar role, ideally within production ML systems or large‑scale pricing platformsProficiency in Python, Scala, and SQL, applied to production ML systems rather than exploratory workExperience in data modelling, software architecture, and distributed data processing frameworks at scaleDeep understanding of ML algorithms and when to apply them in the context of pricing, demand forecasting, or similar commercial domainsStrong analytical instincts and attention to detail, with a track record of catching issues before they reach productionA product mindset that keeps the customer outcome in view, even when the work is deeply technicalClear, collaborative communication skills that hold up across data science, engineering, xhfqzwm and business stakeholder audiencesPerks and Benefits of Working With UsWell‑funded and proven startup with large ambitions, competitive salary, upsides of pre‑IPO equity packagesHopper covers the cost of employee premiums for private medical and dental coverageHopper also offers private life and accident coverageGenerous parental leave, much above industry standardsAccess to co‑working space on demand through FlexDesk and a work‑from‑home stipendUnlimited PTOMonthly cash allowances for gym memberships and home office expensesCarrot Cash travel stipendEntrepreneurial culture where pushing limits and taking risks is everyday businessOpen communication with management and company leadershipSmall, dynamic teams = massive impactCompensation Range: $110K - $250K#J-18808-Ljbffr

📌 Senior Software Engineer - Ai Fintech Foundation (Spain) - $110,000 - $250,000 A Year (Barcelona)
🏢 Hopper
📍 Barcelona