Flag job

Report

Sr Machine Learning Engineer - Fintech Foundation (100% Remote - USA)

Salary

$150k - $350k

Min Experience

0 years

Location

US - Remote, New York - Remote, Chicago - Remote, Washington D.C. - Remote

JobType

full-time

About the job

Info This job is sourced from a job board

About the role

This is a unique opportunity to join our growing Fintech Foundation team. We're responsible for optimizing pricing for all ancillary products we sell, balancing customer demand with the financial risks we take on. As an ML engineer you will play a key role in growing our fintech business through delivering and operating innovative pricing solutions at scale across dozens of partners! What would your day-to-day look like: Implementing automated, reusable ML training pipelines. Build data ETL pipelines including appropriate feature engineering Develop and deploy ML real-time pricing solutions to production. Monitor and optimize for low-latency and minimal training/serving skew. Collaborate with data scientists, engineers and product stakeholders to define and implement relevant solutions. An ideal candidate has: Strong development skills in Python, Scala, SQL. Deep understanding of ML algorithms and frameworks like pandas, sklearn, flyte, TensorFlow etc Familiarity with data modeling, software architecture and distributed data processing tools. Strong analytical and problem solving skills, with attention to detail. Excellent communication and collaboration skills.

About the company

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. At Hopper, we are on a mission to become the leading travel platform globally – powering Hopper's mobile app, website and our B2B business, HTS (Hopper Technology Solutions). By leveraging massive amounts of data and advanced machine learning algorithms, Hopper combines its world-class travel agency offering with proprietary fintech products to bring transparency, flexibility and savings to travelers globally. We have developed several unique fintech solutions that address everything from pricing volatility to trip disruptions – helping people travel better and save more on their trips. The Hopper platform serves hundreds of millions of travelers globally and continues to capture market share around the world. Ranked the third largest online travel agency in North America, the Hopper app has been downloaded over 120 million times and has become largely popular among younger travelers – with 70% of its users being Gen Z and millennials. While everyone knows us as the Gen Z and Millennial travel app, Hopper has evolved to become much more than that. In recent years, we've grown into a global travel agency and travel fintech provider that powers some of the world's largest brands. Through HTS, our B2B division, the company supercharges its partners' direct channels by integrating our fintech products on their sites or powering end-to-end travel portals. Today, our partners include leading travel brands like Capital One, Nubank, Air Canada and many more.

Skills

python
scala
sql
machine learning
pandas
sklearn
flyte
tensorflow