Staff ML Engineer

Cloudbeds
Europe
Workplace: RemoteFull timeFunction: Data Science & Machine LearningExperience: 5+ yearsEducation: bachelorsSkills: ["Python","SQL","AWS","Airflow","Prefect","Dagster","MLflow","CI/CD","Distributed systems","Backend development"]

Lead the design, deployment, and operation of distributed ML systems for hospitality revenue management. Drive end-to-end ML lifecycle, from data pipelines to production models, with a focus on reliability, scalability, and rigorous testing. Collaborate across product and engineering to define SLIs/SLOs and mentor teams in ML software practices.

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FursaFursa
Cloudbeds
Cloudbeds
2 months ago

Staff ML Engineer

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 13 hours agoStatus: Live

Job Summary

Lead the design, deployment, and operation of distributed ML systems for hospitality revenue management. Drive end-to-end ML lifecycle, from data pipelines to production models, with a focus on reliability, scalability, and rigorous testing. Collaborate across product and engineering to define SLIs/SLOs and mentor teams in ML software practices.
Location: Europe
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Sr. Manager level

Key Responsibilities

  • •Own end-to-end development of the revenue management ML application from data structuring to model validation and production
  • •Collaborate with product and engineering teams to identify opportunities and implement ML-based pricing features
  • •Establish robust ML practices, testing processes, and monitoring to ensure reliability and quality across the ML lifecycle
  • •Define and manage SLIs/SLOs and contribute to large-scale technical roadmaps
  • •Mentor junior engineers and influence cross-functional teams on complex technical decisions

Pay and Benefits

Perks:Remote WorkPaid LeaveHome OfficeLearning Budget

Key Requirements

  • •5+ years of experience in a machine learning role with production deployment of models
  • •Strong Python programming skills and experience with distributed systems
  • •Deep MLOps proficiency including CI/CD, orchestration (Airflow, Prefect, Dagster), and model monitoring at scale
  • •Expertise deploying ML models at scale on AWS and using MLFlow or similar platforms
  • •Bachelor's degree in Computer Science, Statistics, Mathematics, Data Science, or a related field
Experience:5+ yearsHospitalityML engineeringData science
Education:Bachelor's
Skills:PythonSQLAWSAirflowPrefectDagsterMLflowCI/CDDistributed systemsBackend development
Languages:English
Tech Stack:PythonAWSAirflowDagsterPrefectMLflowSQLCI/CD

Company Brief

Cloudbeds
Provides a cloud-based hospitality management platform including property management, booking engine, channel management, and revenue management tools to hotels, hostels, and vacation rentals worldwide.
Industry: Hospitality
Company Size: Large (251 to 1,000 employees)
Growth: Scaleup
Funding: Series C
Headquarters: San Diego, United States
Founded: 2012
Glassdoor
Glassdoor: 4.0
WebsiteLinkedIn