Senior Software Engineer – AI Fintech

This is a fully remote position, open to applicants in United States.

📋 Description

• **About the Team**

• The Fintech Foundation team at Hopper plays a pivotal role in the organization's mission: transforming the travel experience for over 100 million monthly active users. This team manages the pricing engine that aligns customer demand with financial risk across numerous partners, including Capital One, Air Canada, and Spirit Airlines. As a Machine Learning engineer in this team, you will significantly influence how Hopper prices ancillary products in real-time and on a large scale.

• **About the Role**

• As a Software Engineer on the Fintech Foundation team, your responsibilities will include designing, building, and enhancing the machine learning systems that drive Hopper's pricing engine. Your contributions will directly affect revenue, financial risk management, and customer experience across the entire partner portfolio.

• You will collaborate closely with Data Science, Engineering, and Product teams to develop pricing solutions that are dependable, scalable, and focused on commercial results.

• **What would your day-to-day look like**

• - Design and implement automated, reusable training pipelines to ensure consistent and scalable model delivery across the partner portfolio.

• - Build ETL pipelines with strategic feature engineering to ensure clean and reliable inputs for pricing models.

• - Develop and deploy real-time machine learning pricing solutions into production, managing the complete process from model development to live environment.

• - Monitor production systems for latency, drift, and training-serving skew, continuously optimizing to maintain model integrity.

• - Conduct champion-challenger tests on pricing and product construction levers to identify improvements and adapt to changing market conditions.

• - Collaborate with data scientists, engineers, and product stakeholders to convert business needs into well-defined technical solutions.

⛳️ Requirements

• 5+ years of experience in a similar role, ideally with production machine learning systems or large-scale pricing platforms.

• Proficiency in Python, Scala, and SQL, utilized in production machine learning systems rather than exploratory projects.

• Experience in data modeling, software architecture, and distributed data processing frameworks at scale.

• Comprehensive understanding of machine learning algorithms and their application in pricing, demand forecasting, or similar commercial sectors.

• Strong analytical instincts and attention to detail, proven track record of identifying issues before they reach production.

• A product-oriented mindset that prioritizes customer outcomes, even in technical work.

• Excellent collaborative communication skills that are effective across data science, engineering, and business stakeholder audiences.

🏝️ Benefits

• A well-funded and established startup with ambitious goals, offering a competitive salary along with the advantages of pre-IPO equity packages.

• Unlimited paid time off.

• Carrot Cash travel stipend.

• Access to co-working spaces on demand through FlexDesk and a work-from-home stipend.

• Inquire about our exceptionally generous parental leave, which exceeds industry standards.

• An entrepreneurial culture that encourages pushing boundaries and taking risks as part of daily operations.

• Open lines of communication with management and company leadership.

• Small, dynamic teams that make a significant impact.

• 100% employer-paid medical, dental, and vision coverage for employees.

• Access to disability and life insurance.

• Health Reimbursement Account (HRA).

• DCA/FSA and access to a 401(k) plan.