As a Senior Machine Learning Engineer, your focus will be on solving data and engineering challenges. This will enable Hopper to offer products that assist our customers in dealing with common travel issues.
This role involves working with Hopper’s fintech products and focuses on delivering these products to millions of travelers worldwide. Your primary responsibility will be to enhance existing machine learning pricing models and to develop and deploy new frameworks to improve our product pricing.
You will be responsible for the entire development, deployment, and performance tracking of models across multiple platforms.

What your day-to-day would look like:

    • Ensure we are priced correctly based on changing demand environments and external conditions. Identify segments where we are mispriced and deploy scalable solutions to correct pricing models
    • Think beyond “just the model” by challenging existing product construction and UX, and building data-backed business cases to ship alternatives that improve the customer experience
    • Initiate, develop, and maintain data pipelines that power our decision making
    • Measure business performance by identifying and refining KPI metrics and creating reporting frameworks to continuously monitor them
    • Find new opportunities for revenue growth by becoming the expert on our data and customers

An ideal candidate has:

    • A proven track record of solving complex problems with in depth understanding of data, product and business impact
    • High attention to detail and ability to create scalable data solutions
    • Strong creative problem-solving skills and critical thinking competencies
    • Ability to effectively communicate pricing decisions and performance to executive-level stakeholders
    • Designed, implemented, and deployed pricing models into production using modern technologies
    • Fluency in using SQL for data creation, maintenance and analysis
    • High proficiency in Python, ML workflows, and ETL pipeline exposure.
    • Experience with data visualization to convey ML models behavior and business insights
    • Worked on a consumer product and has shipped high impact models at scale

Perks & Benefits:

    • Well-funded and proven startup with large ambitions, competitive salary and the upsides of pre-IPO equity packages
    • Unlimited PTO
    • Carrot Cash travel stipend
    • Flexdesk All Access Pass 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, vision, disability and life insurance plans
    • Up to 4000$ per year in Health Reimbursement Account (HRA)
    • FSA/ DCA: Hopper offers pre-tax deduction for out-of-pocket expenditures for health and dependent care costs.
    • Access to a 401K plan
    • Annual maximum** is $3,200 for health care, and $5000 for dependent care.
$150,000 – $350,000 a year
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