Senior Machine Learning Engineer, Hopper
Hotels Flexibility
+ Pre-IPO equity
Travel booking app
Job no longer available
Travel booking app
1001+ employees
Job no longer available
+ Pre-IPO equity
1001+ employees
Company mission
To make booking travel faster, easier, and more transparent.
Role
Who you are
- 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
What the job involves
- 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
- 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
Our take
Hopper is a mobile application that uses big data to predict and analyse airfare and accommodation prices, delivering savings to users. The company was created to make booking travel faster, easier, and more transparent by leveraging the power that comes from combining large amounts of data with machine learning.
As well as its booking platform, the company also has a B2B offering called HTS (Hopper Technology Solutions), which enables travel providers to integrate Hopper's travel, fintech and eCommerce products. Major partners of this initiative include Marriott, Kayak and Capital One.
Lately, the company has focussed on innovation and international expansion, with the intent to grow its operating margins. It has not been unaffected by the economic landscape, and made a round of lay-offs in 2023, although this appears to be part of a wider move towards profitability rather than a sign of trouble.
Steph
Company Specialist
Insights
Some candidates hear
back within 2 weeks
-1% employee growth in 12 months
Company
Funding (last 2 of 10 rounds)
Nov 2022
$96m
LATE VC
Aug 2021
$175m
SERIES G
Total funding: $731m
Company benefits
- Work from home opportunities
- Well-funded and proven startup with large ambitions and stock options
- Unlimited PTO
- WeWork All Access Pass OR Work-from-home stipend
- Entrepreneurial culture where pushing limits and taking risks is everyday business
- Open communication with management and company leadership
- Small, dynamic teams
- Access to a Retirement Savings Plan
- Immigration assistance
- Internal career mobility program
- Light internal meeting culture
- 100% employer paid medical, dental, vision, disability and life insurance plans 🇺🇸
- Access to a 401k 🇺🇸
Company values
- Dive Deep. Leaders exhibit this principle by operating at all levels, staying immersed in the details, gathering data and employing first-hand knowledge while staying skeptical of any assumptions. It’s through diving deep that they earn the trust of others and the freedom to take real ownership of our work
- Bias for Action. Leaders deliver results, move fast and simplify problems that others find complex. Speed matters in business and most decisions are reversible. We can almost always learn more through action than through analysis. Leaders do things; they don’t just talk about things
- Take Ownership. Leaders are owners; not managers. They think long-term, believe no task is beneath them and act on behalf of the entire company. They are vocally self critical and benchmark themselves and their teams against the best
- Do the Right Thing. There are two parts to this leadership principle. The first is having the judgment to identify the right thing for the business and then doing it, most of the time. It’s important for leaders to be right a lot. The second part is taking a long-term view of what’s right for the business and our customers and acting only with the best intentions. Good judgment + good intentions = great leader
Company HQ
La Petite-Patrie, Montreal, QC
Articles
Leadership
Frederic Lalonde
(CEO)Previously worked for 4 years at Expedia, first as VP of Hotel Supplier Strategy then as VP of Hotels and Packages Product Planning.
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