Staff ML Engineer

HybridSalary not specified
Location not specified

Tech Stack

Machine LearningMLflowPythonAWSAirflowCI/CDSageMakerSQL

Job Description, Responsibilities & Requirements

About the Position

At Cloudbeds, we're transforming hospitality with our intelligently designed platform that powers properties across 150 countries, processing billions in bookings annually. We're looking for a Staff Machine Learning Engineer to join our completely remote team in Europe. Imagine working alongside global innovators to build AI-powered solutions that solve hoteliers' biggest challenges.

Responsibilities

  • Play a key role in building and implementing features that empower lodging customers to make data-driven pricing decisions.
  • Work closely with product and engineering teams to identify opportunities for improvement, develop innovative solutions, and drive revenue growth.
  • 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.

Requirements

  • Architectural Expertise: Proven track record in designing, deploying, and maintaining production-grade, distributed ML systems (Sagemaker).
  • Deep MLOps Proficiency: Expert-level knowledge of CI/CD, orchestration (e.g., Apache Airflow, Flink), 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.

Nice to Have

  • 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.

We Offer

  • Remote First, Remote Always
  • PTO in accordance with local labor requirements
  • Monthly Wellness Fridays - enjoy an extra-long weekend every month
  • Fully 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

About the Company

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.

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)

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 [email protected]. 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.

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Job Details

Company name:
Cloudbeds
Location:
Location not specified
Work Mode:
Hybrid
Posted on TheJob:
Jul 11, 2026
Last checked:
Jul 11, 2026
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