# Principal ML Engineer Remote from[Europe](https://jobicy.com/job-region/europe.md)Annual salary Undisclosed Salary information is not provided for this position. Check our [Salary Directory](https://jobicy.com/salaries.md) to estimate the average compensation for similar roles.Department [Data Science & Analytics](https://jobicy.com/categories/data-science.md) Employment type Full Time, Job posted29 Jun 2026Apply before29 Jul 2026Experience level Senior Views / Applies 62 / 14 [About company](https://jobicy.com/company/cloudbeds.md) [Share](#share) About [Cloudbeds](https://jobicy.com/company/cloudbeds.md) One easy-to-use hospitality management suite that simplifies the working lives of hoteliers and hosts. * [Hospital & Health Care](https://jobicy.com/company-category/hospital-health-care.md) * 2012 Actively Hiring Verified job posting This job post has been [manually reviewed](https://jobicy.com/tools/help-center/employee/how-does-jobicy-verify-the-legitimacy-of-remote-job-listings.md) for authenticity and compliance. Tailor Resume Check Job Fit Cover Letter ### Tailor my resume to this job Discover how to best rewrite and optimize your resume for this specific job. You'll receive personalized suggestions and detailed guidance to highlight your key strengths, effectively address the job requirements, and make your application more compelling to recruiters and hiring managers. After analyzing your resume, I can provide several recommendations to better position yourself for this role. Your background in software development shows strong technical skills, particularly in Java and Python development. However, for this Senior Backend Developer position, I notice there could be more emphasis on your experience with microservices architecture and cloud technologies, which are key requirements for this role. I recommend highlighting specific projects where you utilized these technologies and quantifying your achievements to demonstrate impact... Upgrade to Plus ### Am I a good fit for this job? 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Upgrade to Plus ### AI Summary Cloudbeds, a leader in hospitality technology, is seeking a Principal ML Engineer to build and implement AI-driven pricing solutions for lodging customers. The role involves end-to-end ownership of ML systems, from data pipelines to production deployment, with a focus on revenue management. The ideal candidate has 5+ years of experience, deep MLOps expertise, and a strong background in Python, AWS, and distributed systems. This remote position offers an opportunity to impact a global platform used by properties in 150 countries. ### Role DNA Job Complexity Easy Hard Pace & Pressure Relaxed Fast-paced Autonomy Level Guided Full Ownership Communication Load Independent Highly Collaborative AI Insight This role requires deep expertise in ML, MLOps, and software engineering, along with leadership and strategic influence, making it one of the most challenging levels in the field. ### Salary Analysis Median Highly Competitive $215,000US Market $180k – 250k 0 $275k AI Insight The salary range for Principal ML Engineers in the US market is typically between $180,000 and $250,000 annually. As the job listing did not specify a salary, this estimate is based on market data for similar senior roles. ### Core Skills Required [Machine Learning](https://jobicy.com/jobs?search_keywords=Machine+Learning.md) [MLOps](https://jobicy.com/jobs?search_keywords=MLOps.md) [Python](https://jobicy.com/jobs?search_keywords=Python.md) [AWS](https://jobicy.com/jobs?search_keywords=AWS.md) [SQL](https://jobicy.com/jobs?search_keywords=SQL.md) [Data Pipelines](https://jobicy.com/jobs?search_keywords=Data+Pipelines.md) [Revenue Management](https://jobicy.com/jobs?search_keywords=Revenue+Management.md) [Leadership](https://jobicy.com/jobs?search_keywords=Leadership.md) [CI/CD](https://jobicy.com/jobs?search_keywords=CICD.md) [Statistical Modeling](https://jobicy.com/jobs?search_keywords=Statistical+Modeling.md) ### Cover Letter Sample Dear Hiring Team, I am excited to apply for the Principal ML Engineer position at Cloudbeds. With over 5 years of experience deploying production-grade ML systems and a deep expertise in MLOps and revenue management, I am confident in my ability to drive data-driven pricing solutions for your lodging customers. My background in building scalable ML pipelines and leading cross-functional teams aligns perfectly with the innovative culture at Cloudbeds. I look forward to contributing to your mission of transforming hospitality through technology. Copy ### Sample Interview Questions Describe your experience with deploying ML models at scale on AWS. What services and best practices do you use?I have extensive experience deploying models using SageMaker, Lambda, and ECS. I follow MLOps best practices including automated CI/CD pipelines, model versioning with MLflow, and monitoring metrics like accuracy and latency. For scalability, I design microservices and use auto-scaling groups.How do you approach designing a machine learning system for revenue management?I start by understanding the business goals and constraints, then identify features like historical pricing, occupancy, and competitor rates. I use regression or tree-based models for prediction, and implement A/B testing to validate. The system includes data validation, model retraining triggers, and drift detection to ensure reliability.Explain how you ensure reliability and quality in ML systems from development to production.I implement rigorous testing strategies: data validation schemas, unit tests for feature engineering, integration tests for pipelines, and shadow deployments. I also set up SLIs/SLOs for model performance and automate rollbacks. Monitoring dashboards track data drift and model decay, enabling proactive maintenance.Can you discuss a time when you had to influence cross-functional teams on complex technical decisions?In a previous role, I advocated for migrating from batch to real-time predictions by presenting trade-offs in latency, cost, and accuracy. I built a prototype, shared benchmarks, and collaborated with product and engineering to align priorities. This led to a successful rollout that increased revenue by 10%.What is your experience with MLOps tools like Airflow or Prefect? How do you orchestrate ML workflows?I have used both Airflow and Prefect to orchestrate data pipelines and model training workflows. I design DAGs for data extraction, transformation, training, and deployment. I also incorporate retry logic, alerts, and version control for pipeline code. This automation reduces manual errors and accelerates iteration. What Makes Us Unique At Cloudbeds, we’re not just building software, we’re transforming hospitality. Our intelligently designed platform powers properties across 150 countries, processing billions in bookings annually. From independent properties to hotel groups, we help hoteliers transform operations and uplevel their commercial strategy through a unified platform that integrates with hundreds of partners. And we do it with a completely remote team. Imagine working alongside global innovators to build AI-powered solutions that solve hoteliers’ biggest challenges. Since our founding in 2012, we’ve become the World’s Best Hotel PMS Solutions Provider and landed on Deloitte’s Technology Fast 500 again in 2024 but we’re just getting started. Location: Remote – (Europe) How You’ll Make an Impact: 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. You’ll work closely with product and engineering teams to identify opportunities for improvement, develop innovative solutions, and drive revenue growth for the hotels that rely on our platform. Your impact will be focused on ensuring the reliability, scalability, and high quality of our ML systems from development to production. You’ll be instrumental in establishing robust ML practices and rigorous testing processes across the entire ML lifecycle. From structuring data pipelines to implementing and validating ML models, you’ll own the end-to-end development of our revenue management application—ensuring hotels have the reliable, accurate insights they need to maximize their success. Our Machine Learning Team: Our machine learning team is energized by the unique challenge of revolutionizing guest experiences through AI-driven insights, transforming traditional hospitality with cutting-edge predictive algorithms. We thrive on collaborative innovation, where data scientists, engineers, and product experts seamlessly blend their expertise to prototype bold ideas and directly impact operational efficiency. People who are passionate about continuous learning, unafraid to challenge conventions, and excited by the intersection of hospitality and deep technical prowess will find their home among our forward-thinking team. What You Bring to the Team: * 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. What Sets You Up for Success: * 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 test, 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. Bonus Skills to Stand Out (Optional): * Experience with CI/CD tooling (e.g., GitHub Actions, Jenkins) specifically for ML pipelines and Airflow DAG deployment. * Experience with data quality monitoring tools and frameworks. * Master’s or PhD in Computer Science, Mathematics, or a related field. #LI-IK1 ### What to Expect – Your Journey with Us Behind Cloudbeds’ revolutionary technology is a team of redefining what’s possible in hospitality. We’re 650+ employees across 40+ countries, bringing together elite engineers, AI architects, world-class designers, and hospitality veterans to solve challenges others haven’t dared to tackle. Our diverse team speaks 30+ languages, but we all share one language: a passion for innovation and travel. From pioneering breakthroughs in machine learning to revolutionizing how hotels operate, we’re not just watching the future of hospitality unfold – we’re coding it, designing it, writing it and shipping it. If you’re ready to work alongside some of the brightest minds in tech who are obsessed with using AI to transform a trillion-dollar industry, this is your chance to be part of something extraordinary. Learn more online at [cloudbeds.com](https://www.cloudbeds.com/) ### Company [Awards](https://www.cloudbeds.com/awards/) to Check Out! * 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) ### Discover our 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 ### Everyone is Welcome – A Culture of Inclusion 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 [accommodations@cloudbeds.com](mailto: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. #LI-REMOTE Show more [Apply now >](https://jobicy.com/jobs/148056-principal-ml-engineer.md) > Annual salary information is not provided for this position. Explore salary ranges for similar roles in our [Salary Directory ›](https://jobicy.com/salaries.md) * ![Upload CV](data:image/svg+xml;base64,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) ### Upload your resume now To unlock remote work opportunities and be discovered by global employers. 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