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 is responsible for optimizing pricing for ancillary products, balancing customer demand with financial risks, and helping 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 tasks 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.

Employees will enjoy a competitive salary and the potential for pre-IPO equity packages in a well-funded startup.
The company offers unlimited paid time off (PTO) and a travel stipend through Carrot Cash.
Employees have access to co-working spaces on demand and a work-from-home stipend.
There is a generous parental leave policy that exceeds industry standards.
The company promotes an entrepreneurial culture with open communication and small, dynamic teams that allow for significant impact.
Employees receive 100% employer-paid medical, dental, and vision coverage, along with access to disability and life insurance.
A Health Reimbursement Account (HRA) and options for DCA/FSA and a 401k plan are also provided.