Cloudbeds

About Cloudbeds

Empowering hospitality businesses worldwide

🏢 Tech👥 251-1K📅 Founded 2012📍 San Diego, California, United States

Key Highlights

  • Over 21,000 customers in 157 countries
  • $82 million raised from PeakSpan Capital
  • Awarded Best PMS and Best Hotel Booking Engine 2021
  • Headquartered in San Diego, California

Cloudbeds is a leading hospitality management platform headquartered in San Diego, California, specializing in property management systems (PMS) and booking engines for hotels, hostels, B&Bs, and vacation rentals. With over 21,000 customers in 157 countries, Cloudbeds has raised $82 million in fundi...

🎁 Benefits

Employees enjoy competitive salaries, equity options, flexible PTO, remote work opportunities, and a comprehensive health benefits package....

🌟 Culture

Cloudbeds fosters a remote-friendly culture that emphasizes collaboration and innovation, allowing employees to work from anywhere while focusing on d...

Overview

Cloudbeds is hiring an MLOps Engineer to build and implement features that empower lodging customers to make data-driven pricing decisions. You'll work with machine learning techniques and collaborate with product and engineering teams. This role requires expertise in MLOps practices and cloud technologies.

Job Description

Who you are

You have a strong background in machine learning operations, with experience in building and deploying ML systems that ensure reliability and scalability. You are proficient in Python and have hands-on experience with cloud platforms like AWS, which you leverage to optimize revenue strategies for clients in the hospitality sector. Your understanding of containerization technologies such as Docker and orchestration tools like Kubernetes allows you to streamline deployment processes effectively. You are familiar with data-driven decision-making and have a knack for identifying opportunities for improvement in existing systems. You thrive in a remote work environment and are comfortable collaborating with global teams to drive innovation. You are passionate about transforming the hospitality industry through technology and are eager to contribute to a company that values creativity and impact.

What you'll do

As an MLOps Engineer at Cloudbeds, you will play a pivotal role in developing features that enhance the pricing strategies of lodging customers. You will collaborate closely with product and engineering teams to identify areas for improvement and implement innovative solutions that leverage advanced machine learning techniques. Your responsibilities will include ensuring the reliability and scalability of ML systems from development to production, establishing robust MLOps practices, and implementing rigorous testing processes. You will also be involved in analyzing data to inform pricing decisions, utilizing heuristic data as well as complex algorithms to optimize revenue strategies. Your work will directly impact the success of hotels using our platform, helping them to make informed decisions that drive growth. You will participate in regular team meetings to discuss progress, share insights, and align on project goals, ensuring that all stakeholders are informed and engaged throughout the development process.

What we offer

At Cloudbeds, we offer a fully remote work environment with the flexibility to travel into Paddington two days a week. You will be part of a dynamic team that is dedicated to transforming the hospitality industry through innovative technology solutions. We provide opportunities for professional growth and development, encouraging you to expand your skills and take on new challenges. Our culture is built on collaboration and creativity, where your contributions are valued and recognized. Join us in making a significant impact in the hospitality sector while working alongside global innovators who share your passion for technology and transformation.

Interested in this role?

Apply now or save it for later. Get alerts for similar jobs at Cloudbeds.

Similar Jobs You Might Like

Based on your interests and this role