Senior Software Engineer - AI Fintech foundation

About the role

Hopper's Fintech Foundation team sits at the center 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.

Responsibilities

• 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

Requirements

• 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

Qualifications

• Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field
• Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-Learn
• Experience with cloud platforms such as AWS, Google Cloud, or Azure
• Experience with big data technologies such as Apache Spark or Hadoop
• Experience with distributed systems and microservices architecture

Skills

• Machine Learning
• Data Modeling
• Software Architecture
• Distributed Data Processing
• Cloud Platforms
• Big Data Technologies
• Distributed Systems
• Microservices Architecture

Benefits

• Well-funded and proven startup with large ambitions, competitive salary and the upsides of pre-IPO equity packages
• Unlimited PTO
• Carrot Cash travel stipend
• Access to co-working space on demand through FlexDesk AND Work-from-home stipend
• Parental leave with generous benefits
• Entrepreneurial culture where pushing limits and taking risks is everyday business
• Open communication with management and company leadership
• Small, dynamic teams = massive impact
• 100% employer paid Medical, Dental and Vision coverage for employees
• Access to Disability & Life insurance
• Health Reimbursement Account (HRA)
• DCA/ FSA and access to 401k plan

Pay

• $167,500.00 - $235,000.00 per year

Schedule

• Full-time