Staff Machine Learning Engineer

Company Overview

Cloudbeds is revolutionizing the hospitality industry by providing an intelligent platform that serves properties in over 150 countries and manages billions in bookings annually. Our platform aids a wide range of properties, from independent hotels to large hotel groups, by integrating with hundreds of partners to streamline operations and elevate commercial strategies. We operate with a fully remote team, enabling global collaboration to develop AI-powered solutions addressing hospitality's biggest challenges. Established in 2012, Cloudbeds is a leader in hotel PMS solutions and has been recognized on the Deloitte Technology Fast 500 in 2024.

Role Impact and Responsibilities

As a Staff Machine Learning Engineer, you will be pivotal in architecting and delivering features that allow hotel clients to make smart, data-driven pricing decisions. Your work will range from utilizing straightforward heuristic data to implementing sophisticated machine learning algorithms that enhance revenue strategies. Collaborating closely with product and engineering colleagues, you will identify enhancement opportunities, innovate impactful solutions, and support revenue growth for hotels using our platform.

You will be accountable for the end-to-end development of our revenue management application, ensuring the systems are reliable, scalable, and maintain high standards from development through production. Your expertise will be crucial in embedding strong ML practices and comprehensive testing throughout the machine learning lifecycle. From designing data pipelines to validating ML models, your role supports delivering accurate insights that help hotels maximize success.

Machine Learning Team Culture

Our ML team thrives on blending advanced AI with hospitality to create transformative guest experiences. The team combines talents across data science, engineering, and product management to prototype novel ideas, improve operational efficiencies, and push the boundaries of what’s possible. We welcome individuals passionate about innovation, continuous learning, and who embrace the challenges at the intersection of hospitality and technology.

Qualifications and Skills

• Proven experience architecting, deploying, and maintaining production-level distributed ML systems, including with AWS Sagemaker.
• Expertise in MLOps including CI/CD, orchestration tools like Apache Airflow or Flink, and large-scale model monitoring with drift detection.
• Strong Python skills, backend development experience, and familiarity with software engineering best practices such as version control, code reviews, and containerization tools like Docker and Kubernetes.
• Proficient in defining Service Level Indicators (SLIs) and Objectives (SLOs) and managing extensive technical roadmaps.
• Demonstrated leadership abilities, including mentoring team members and influencing cross-functional decisions.
• In-depth understanding of applying statistical and machine learning techniques to optimize revenue management and pricing.
• Extensive experience (5+ years) in machine learning roles, with a record of successful ML model deployment to production.
• Strong grasp of ML testing strategies encompassing data validation, model accuracy, and performance evaluation.
• Advanced SQL skills and experience with handling large datasets for analysis and model training.
• Excellent problem-solving aptitude with a data-driven approach to complex challenges.
• Effective communication and collaboration capabilities across multifunctional teams.
• Bachelor’s degree in Computer Science, Statistics, Mathematics, Data Science, or a related quantitative field.

Preferred Additional Skills

• Experience utilizing CI/CD tools such as GitHub Actions or Jenkins particularly for ML pipeline and Airflow DAG deployments.
• Familiarity with tools and frameworks for monitoring data quality.
• Advanced academic qualifications such as a Master’s or PhD in Computer Science, Mathematics, or a related discipline.

Company Benefits

• Fully remote working model.
• Paid time off complying with local labor laws.
• Monthly wellness Fridays providing extended weekends.
• Comprehensive paid parental leave.
• Home office setup stipend according to country of residence.
• Access to professional development through Cloudbeds University including manager training and skills upskilling.

Cultural Commitments

Cloudbeds is committed to fostering an inclusive and diverse work environment. We are proud to be an equal opportunity employer and actively support individuals regardless of race, religion, color, origin, gender, sexual orientation, disability, veteran status, or any other legally protected characteristic. We provide reasonable accommodations during the hiring process to ensure full participation by all candidates, including those with disabilities.

Company Awards

• Best All-In-One Hotel Management System, HotelTechAwards 2025
• Overall 10 Best Places to Work, HotelTechAwards 2025
• Most Loved Workplace® Certified 2024
• Top 10 People’s Choice 2024
• Deloitte Technology Fast 500 2024