Hopper is continually redefining how people travel, combining a best-in-class travel agency with a portfolio of proprietary fintech offerings that give our customers peace of mind when booking travel.  More than 100M monthly active users are exposed to our products through our mobile app and a growing list of partners such as CapitalOne, Air Canada, and Spirit Airlines.  With a real-time feed of 50B+ priced itineraries daily along with more than ten years of history and multiple external data sources, we have unparalleled insight about pricing and demand trends.

This is a unique opportunity to join our growing Fintech Foundation team and help millions of people travel better, for less. Our team enables our product teams to deliver new products to market faster; produce better quality pricing and provisioning models faster; and be more responsive to changing market conditions, product construction and service outages.   As a Senior Machine Learning Engineer, you will be directly responsible for developing the services and tooling on our golden path for model development and delivery in collaboration with our product engineers, data scientists and product managers.  This will include aspects of our feature platform, model pipeline automation, model deployment and observability infra, and ownership of several tier-one production services.

In this role, you will:

• Build the next generation of our predictive modeling infrastructure, setting standards for code and performance
• Tame huge volumes of real-time streaming data and simplify access to offline data for model development
• Work in a complex dynamic environment with a rich API tier
• Collaborate with a diverse group of people, giving and receiving feedback for growth
• Execute on big opportunities, helping Hopper’s continued rise to the top of the travel industry

A perfect candidate has:

• Thrived with machine learning techniques and technology for model development and deployment, particularly in the Google Cloud Platform environment 
• Experience designing streaming data systems with tools such as GCP Dataflow, GCP PubSub, Kafka, Flink, or Akka/Pekko Streams.
• Experience with traditional batch ETL tools like Airflow and SQL is also an asset.
• Familiarity with Scala (or other functional, statically-typed languages) for backend development and Python for ML automation
• Expertise with various data stores (transactional and warehouse) such as Spanner and BigQuery
• Comfortable mentoring and leading people at different stages in their career
• Excel in cross-functional teams, working with Product Managers, Data Scientists, full stack Engineers, and other highly skilled specialists
• Passion for quality; writing robust, performant and testable code for our customers
• Comfortable being on-call for critical production services relied upon by all of Hopper

#posttoexternal

- Hopper sold around $4 billion in travel and travel fintech in 2022, up nearly 3X over 2021. In 2022, Hopper increased its revenue 2.5X year-over year.

- The company’s bespoke fintech products, such as Flight Disruption Guarantee and Price Freeze, now represent 30-40% of Hopper’s total app revenue. 

- Given the success of its fintech products, Hopper launched a B2B initiative called Hopper Cloud in late 2021. Through this partnership program, any travel provider (airlines, hotels, banks, travel agencies, etc.) can integrate and seamlessly distribute Hopper’s fintech or travel inventory. As its first Hopper Cloud partnership,

- Recognized as one of the world’s most innovative companies by Fast Company four years in a row, Hopper has been downloaded over 80 million times and continues to have millions of new installs each month.