Hopper

Senior Software Engineer - AI Fintech foundation

Hopper$120K — $160K *
US-AnywhereRemote in New York, NY
Finance & Insurance
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years of experience in production ML systems or large-scale pricing platforms
  • Proficiency in Python, Scala, and SQL for production environments
  • Experience in data modeling, software architecture, and distributed data processing frameworks
  • Strong understanding of ML algorithms in pricing and demand forecasting
  • Detail-oriented with a track record of preventing production issues
  • Product-focused mindset prioritizing customer outcomes
  • Excellent collaborative communication skills across technical and business teams

Responsibilities

  • Design and implement automated training pipelines for scalable model delivery
  • Develop ETL pipelines with effective feature engineering for clean data inputs
  • Build and deploy real-time ML pricing solutions to production environments
  • Continuously monitor production systems for performance optimization
  • Conduct champion-challenger tests to improve pricing strategies
  • Collaborate with cross-functional teams to translate business needs into technical solutions

Benefits

  • Unlimited PTO
  • Carrot Cash travel stipend
  • Co-working space access and work-from-home stipend
  • Generous parental leave exceeding industry standards
  • Entrepreneurial culture with a focus on innovation and risk-taking
  • Open communication with management
  • Dynamic small teams that allow for significant impact
  • 100% employer-paid medical, dental, and vision coverage
  • Access to disability and life insurance
  • Health Reimbursement Account (HRA)
  • Flexible Spending Accounts and 401k plan access
Full Job Description
About the Role

As 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 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.
  • Please ask us about our very generous parental leave, much above industry standards!.
  • 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.

#LI-REMOTE

About Hopper

Hopper is a travel booking app that uses big data to predict and analyze airfare and accommodations. The app provides personalized recommendations and alerts users when prices are expected to rise or fall. Hopper was founded in 2007 and is headquartered in Montreal, Canada. The company has raised over $400 million in funding and has been recognized as one of the most innovative companies in travel.
Learn more about Hopper
Size
1,000 employees
Industry
Founded
2007

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