Principal ML Engineer - remote job

Cloudbeds is hiring a Principal ML Engineer - a lead role, which means responsibility for a team or a direction. The role sits in IT and programming and is fully remote. The company hires candidates based in Europe.

The advert singles out Machine Learning, so experience with that one tool is what will decide it.

The employer did not publish a figure; that is settled at interview. The advert sets no condition on working hours.

This vacancy passed an automated check: the list excludes any advert requiring a foreign work permit, visa sponsorship, a particular citizenship, or residence in a specific country.

What Makes Us Unique

At Cloudbeds, our mission goes beyond software development; we are revolutionizing the hospitality industry. Our thoughtfully engineered platform serves properties in over 150 countries, facilitating trillions in bookings annually. From solo operators to hotel chains, we assist in streamlining operations and enhancing commercial strategies through a unified system that integrates with numerous partners. We operate entirely remotely, offering a unique opportunity to collaborate with global innovators on AI-driven solutions that address hoteliers' most pressing challenges. Since our inception in 2012, we've earned recognition as a global leader in hotel management solutions and have been honored by Deloitte’s Technology Fast 500 in 2024, but our journey is far from over.

Location: Remote - Europe

How You'll Make an Impact

As a Principal Machine Learning Engineer, you will play a pivotal role in crafting and implementing features that empower lodging customers to make informed pricing decisions. Some of these features will rely on straightforward heuristics, while others will harness advanced machine learning techniques to optimize revenue strategies.

You will collaborate closely with product and engineering teams to identify areas for improvement, develop cutting-edge solutions, and drive revenue growth for hotels that depend on our platform. Your focus will be on ensuring the reliability, scalability, and high quality of our ML systems from development to production. You will be key in establishing robust ML practices and rigorous testing processes throughout the entire ML lifecycle. This includes structuring data pipelines, implementing and validating ML models, and ensuring the end-to-end development of our revenue management application—ensuring hotels receive reliable, accurate insights to maximize their success.

Our Machine Learning Team

Our machine learning team is energized by the unique challenge of transforming guest experiences through AI-driven insights, revolutionizing 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 experience in designing, deploying, and maintaining production-grade, distributed ML systems.

* Deep MLOps Proficiency: Expert-level knowledge of CI/CD, orchestration tools like Apache Airflow, Prefect, or 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 proven success in ML Engineering and deploying models to production.

* Proven expertise in designing and implementing ML testing strategies, including data validation, model correctness, and performance testing.

* Deep understanding of machine learning principles, experimental design, statistical distributions, and 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, including clean code, version control, and 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, such as GitHub Actions or 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.

What to Expect - Your Journey with Us

Behind Cloudbeds' groundbreaking technology is a team dedicated to redefining what's possible in hospitality. We are a diverse group of over 650 employees across 40+ countries, united by a passion for innovation and travel. Our team includes elite engineers, AI architects, world-class designers, and hospitality veterans, working together to tackle challenges that others haven't dared to address. We speak 30+ languages, but we all share a common language: a commitment to innovation and using AI to transform a trillion-dollar industry. If you're ready to join some of the brightest minds in tech who are obsessed with using AI to transform hospitality, this is your chance to be part of something extraordinary.

Learn more online at [cloudbeds.com](http://cloudbeds.com)

Company 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 committed to being an Equal Opportunity Employer that celebrates the diversity in our global team! We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

Cloudbeds is dedicated 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. Cloudbeds will provide an American Sign Language (ASL) interpreter where needed as a reasonable accommodation for the hiring processes.

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