About the TeamHopper'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 like
Design and implement automated, reusable training pipelines to ensure consistent, scalable model delivery across the partner portfolio
Build ETL pipelines with thoughtful feature engineering to guarantee clean, reliable inputs for pricing models
Develop and deploy real-time ML pricing solutions to production, owning the full path from model to live environment
Monitor production systems for latency, drift, and training-serving skew, optimising continuously to maintain model integrity
Run champion‐challenger tests on pricing and product construction levers to surface improvements and respond to shifting market conditions
Partner with data scientists, engineers, and product stakeholders to translate business needs into well‐scoped technical solutions
An ideal candidate has
5+ years of experience in a similar role, ideally within production ML systems or large‐scale pricing platforms
Proficiency in Python, Scala, and SQL, applied to production ML systems rather than exploratory work
Experience in data modelling, software architecture, and distributed data processing frameworks at scale
Deep understanding of ML algorithms and when to apply them in the context of pricing, demand forecasting, or similar commercial domains
Strong analytical instincts and attention to detail, with a track record of catching issues before they reach production
A product mindset that keeps the customer outcome in view, even when the work is deeply technical
Clear, collaborative communication skills that hold up across data science, engineering, and business stakeholder audiences
Perks and Benefits of working with us
Well‐funded and proven startup with large ambitions, competitive salary, upsides of pre‐IPO equity packages.
Hopper covers the cost of employee premiums for private medical and dental coverage.
Hopper also offers private life and accident coverage.
Generous parental leave, well above industry standards.
Access to coworking spaces on demand through FlexDesk and work‐from‐home stipend.
Unlimited PTO.
Monthly cash allowances for gym memberships and to cover home office expenses for a comfortable remote working experience.
Carrot Cash travel stipend.
Entrepreneurial culture where pushing limits and taking risks is everyday business.
Open communication with management and company leadership.
Small, dynamic teams = massive impact.
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