ML Engineer

Cloudbeds is the leading platform redefining the concept of PMS for the hospitality industry, serving tens of thousands of properties in more than 150 countries worldwide. Built from the ground up to be masterfully unified and scalable, the award-winning Cloudbeds Platform brings together built-in and integrated solutions that modernize hotel operations, distribution, guest experience, and data & analytics. 

Behind the Cloudbeds platform is a growing team of 650+ employees distributed across 40+ countries speaking 30+ languages. We are engineers and designers, hotel managers and travel agents, and experts on everything from big data to e-commerce to compliance. The Cloudbeds team comprises the brightest minds in technology and hospitality working to solve the industry's biggest challenges. 

From the beginning, we've believed that our people are our greatest asset, so we founded the company as #RemoteFirst, #RemoteAlways with shared core values and tenets that allow our team to thrive. This means we:

• Embrace Remote First, Remote Always culture
• Hire the best people around the world; 
• Prioritize our customers and results over titles
• Foster an inclusive culture that celebrates bold thinking and diverse perspectives; 
• Offer open vacation time, flexible paid holidays, and company-wide mental health days;
• Provide access to professional development, including manager training, upskilling and knowledge transfer

As a ML Engineer, you will build and implement end-to-end features and functionality that allow our lodging customers to guide their pricing strategy. Some of these features will make use of simple heuristic data while others may involve some algorithmic or machine learning components. You will work closely with our product and engineering teams to identify areas of improvement and develop solutions to drive revenue growth for the hotels our customers operate. You will be responsible for the end-to-end development of our revenue management application.

Location: South Kensington, London (Hybrid)

What You Will Do: 

• Build and implement end-to-end features and functionality that allow our lodging customers to optimize their revenue, through making informed pricing decisions. Some of these features will make us of simple heuristic data while others may involve algorithmic or machine learning components
• Where needed, develop and implement machine learning models to optimize revenue generating opportunities for our customers
• Collaborate with cross-functional teams to identify areas for product improvement
• If needed, figure out ways to structure data to make it easy to analyze and apply learning algorithms
• Build and maintain data pipelines to extract and transform data from various sources
• Analyze data sets to identify trends and patterns that inform product development and marketing strategies
• Design and conduct experiments to test the effectiveness of new features and improvements
• Communicate findings and insights to stakeholders across the organization, including product, engineering, and customer success teams

You’ll Succeed With: 

• Bachelor's degree or higher in a quantitative field such as Computer Science, Statistics, Mathematics, or Data Science
• 3+ years of experience in a data engineering role, preferably in the hospitality industry
• Expertise deploying machine learning models on the Cloud at scale, e.g. using MLFlow
• Expert level knowledge of SQL and experience working with large datasets
• Expertise with AWS or other cloud computing platform
• Experience implementing machine learning models using Python, including familiarity with popular data science frameworks such as Pandas, Scikit-Learn
• Strong problem-solving skills and ability to think creatively about complex business problems
• Strong application development skills
• Excellent communication skills and ability to collaborate effectively with cross-functional teams

#LI-REMOTE #LI-AM1

Our company culture supports flexible working schedules with an open Paid Time Away policy and gives all team members the opportunity to travel and work remotely with great people. If you think you have the skills and passion, we’ll give you the support and opportunity to thrive in your career. If you would like to be considered for the role, we would love to hear from you!

Company Awards to Check Out! 

• Best Places to Work | HotelTechReport (2018-2023)
• Best PMS | HotelTechReport (2021-2023)
• Technology Fast 500 | Deloitte (2023)
• Most Loved Workplace® Certified (2024)
• Fastest Growing Companies | Inc. 5000 (2022)
• Best Startup Employers | Forbes (2022)
• Best Remote Companies to Work | BuiltIn (2022)

Cloudbeds is proud to be an Equal Opportunity Employer that celebrates the diversity in our global team! We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

Cloudbeds is committed to the full inclusion of all qualified individuals. As part of this commitment, Cloudbeds will ensure that persons with disabilities are provided reasonable accommodations in the hiring process. We encourage deaf, hard of hearing, deaf-blind, and deaf-disabled individuals to apply. If reasonable accommodation is needed to participate in the job application or interview process or to perform essential job functions, please contact our HR team by phone at 858-201-7832 or via email at accomodations@cloudbeds.com. Cloudbeds will provide an American Sign Language (ASL) interpreter where needed as a reasonable accommodation for the hiring processes.

To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Cloudbeds. Staffing, recruiting agencies, and individuals being represented by an agency are not authorized to use this site or to submit applications, and any such submissions will be considered unsolicited. Cloudbeds does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Cloudbeds employees, or any other company location. Cloudbeds is not responsible for any fees related to unsolicited resumes/applications.