Cloudbeds is a quickly growing Software-as-a-Service (SaaS) company that provides exceptional software to the hospitality industry. Thousands of hotels, groups,
Principal ML Engineer
Location
Europe
Posted
1 day ago
Salary
0
Seniority
Lead
Job Description
Principal ML Engineer
Cloudbeds
Role Description As a Principal Machine Learning Engineer, you will play a key role in building and implementing features that empower lodging customers to make data-driven pricing decisions. Some of these features will use simple heuristic data, while others will leverage advanced machine learning techniques to optimize revenue strategies. - Work closely with product and engineering teams to identify opportunities for improvement. - Develop innovative solutions and drive revenue growth for hotels relying on our platform. - Ensure the reliability, scalability, and high quality of our ML systems from development to production. - Establish robust ML practices and rigorous testing processes across the entire ML lifecycle. - Own the end-to-end development of our revenue management application. - Ensure hotels have reliable, accurate insights to maximize their success. Qualifications - 5+ years of experience in a machine learning role, with demonstrated success in ML Engineering and deploying models to production. - Proven expertise in designing and implementing ML testing strategies (e.g., data validation, model correctness, performance testing). - Great understanding of machine learning principles (experimental design, statistical distributions and tests, machine learning algorithms). - Expertise in deploying ML models at scale on AWS, with experience using MLFlow or similar platforms. - Strong Python programming skills and adherence to software engineering best practices (e.g., clean code, version control, code reviews). - Expert-level SQL skills and experience working with large datasets for analysis and modeling. - Strong problem-solving skills with the ability to apply creative, data-driven solutions to complex business challenges. - Excellent communication and collaboration skills, with experience working cross-functionally with product and engineering teams. - Bachelor's degree in Computer Science, Statistics, Mathematics, Data Science, or a related quantitative field. Requirements - Architectural Expertise: Proven track record in designing, deploying, and maintaining production-grade, distributed ML systems. - Deep MLOps Proficiency: Expert-level knowledge of CI/CD, orchestration (e.g., Apache Airflow, Prefect, Dagster), and model monitoring/drift detection at scale. - Software Engineering Rigor: Strong background in Python, distributed systems, and backend development, with a firm grasp of software engineering best practices. - Technical Strategy: Experience defining SLIs/SLOs and managing large-scale technical roadmaps. - Leadership: Demonstrated ability to influence cross-functional teams, mentor junior talent, and drive consensus on complex technical decisions. - Domain Knowledge: Ability to apply statistical and ML methods to optimize revenue management and pricing strategies. Benefits - Remote First, Remote Always. - PTO in accordance with local labor requirements. - Monthly Wellness Fridays - enjoy an extra long weekend every month. - Full Paid Parental Leave. - Home office stipend based on country of residency. - Professional development courses in Cloudbeds University. - Access to professional development, including manager training, upskilling, and knowledge transfer.
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