Description:

Hopper is redefining travel by combining a travel agency with proprietary fintech offerings, serving over 100 million monthly active users through its mobile app and partnerships with companies like CapitalOne and Air Canada.
The Fintech Foundation team optimizes pricing for ancillary products, balancing customer demand with financial risks, and helps product teams deliver new fintech products to market quickly.
The role of a Senior Machine Learning Engineer involves delivering and operating innovative pricing solutions at scale across multiple partners.
Daily responsibilities include implementing automated ML training pipelines, building data ETL pipelines with feature engineering, developing and deploying real-time pricing solutions, monitoring for low-latency, and collaborating with data scientists and engineers.

Requirements:

Candidates must have strong development skills in Python, Scala, and SQL.
A deep understanding of machine learning algorithms and frameworks such as pandas, sklearn, flyte, and TensorFlow is required.
Familiarity with data modeling, software architecture, and distributed data processing tools is essential.
Strong analytical and problem-solving skills, along with attention to detail, are necessary.
Excellent communication and collaboration skills are a must for this position.

Employees will enjoy a competitive salary and the potential for pre-IPO equity packages in a well-funded startup.
Hopper provides a monthly cash allowance to help cover private medical, dental, and life insurance costs.
Employees in Ireland can contribute to a PRSA (private retirement savings account) with Irish Life.
The company offers generous parental leave that exceeds industry standards.
Employees benefit from unlimited PTO, a Flexdesk Access Pass, and a work-from-home stipend.
A Carrot Cash travel stipend is also provided.
The company fosters an entrepreneurial culture that encourages pushing limits and taking risks.
Open communication with management and leadership is promoted, and small, dynamic teams allow for a significant impact.