Senior Machine Learning Engineer (Remote)

Vail Resorts Remote
senior machine learning learning engineer remote data team machine learning learning resorts vail science u&r
April 30, 2023
Vail Resorts
Broomfield, Colorado

As a leading mountain resort operator with over 40 resorts in sixteen states and four countries. We exist to create an Experience of a Lifetime for our employees, so they can, in turn, provide and Experience of a Lifetime for our guests. We are looking for leaders, innovators, creators, and ambitious professionals to join our talented team. If you’re ready to pursue your fullest potential, we want to get to know you!

Many of our Corporate function teams can now live and work in any of the states in which Vail Resorts currently operates* – enabling flexible remote work alongside a commitment to building and maintaining strong culture both in person and virtually. If you’re ready to pursue your fullest potential, we want to get to know you. Find your purpose with us at

Job Summary

The Data Science & Data Engineering team is responsible for using our internal data assets to deliver performant, scalable, and impactful data-focused solutions across the business! The team supports modeling initiatives in collaboration with our technology and business partners to enable both strategic opportunities as well as guest facing initiatives. As we continue to grow, our objectives are to deliver increased performance of our existing portfolio of in-market models, granularity of algorithmic decision making, and scalability of solutions across our core lines of business.

As a Senior Machine Learning Engineer you will act as a primary contributor within the development initiatives for the team and business. You will own the end-to-end architecture and deployment of data processing, model execution, and delivery of our team’s machine learning solutions to activation and decision endpoints across the organization. Additionally you will help lead the integration and democratization of new technologies that bring scale, agility, and efficiency to the way we work with data!

Job Responsibilities

  • Aid in the architecture and lead the development of machine learning engineering projects that advance our enterprise goals of realizing data-focused impact through delivering intelligent solutions across our organization

  • Contribute to core infrastructure, libraries, and documentation

  • Play a key role in managing and collaboration cross-functional technology and data initiatives

  • Provide guidance and mentorship to junior team members and colleagues

  • Participate as a subject matter expert across the domains of data engineering, data science, computer science, and machine learning

Job Requirements

  • Experience with MLOps, developing and automating scalable machine learning pipelines in cloud ecosystems (Azure/AWS/GCP)

  • Experience with data warehousing systems, data systems integration, and cloud data solutions including data lakes or managed services like Snowflake or Databricks

  • Experience with Data Science and Machine Learning development tools and processes (TensorFlow, PyTorch, scikit-learn, MLFlow, etc.)

  • Experience with at least one CI/CD tools such as GitLab CI/CD, GitHub Actions, Circle CI, etc.

  • Expertise with in Python and SQL across a variety of platforms

  • Proficiency working with Linux environments and maintaining packages and software versions

  • Working knowledge of common development tools like git and docker

  • Familiarity with scalable data processing paradigms like Spark

  • Familiarity working with live machine learning systems

  • Ability to develop clear documentation and business partner management across audiences with multiple levels of technical skills

The budgeted range starts at $120,000 - $140,000 + annual bonus. Actual pay will be adjusted based on experience.

The perks include a free ski pass, and a set of benefits including...

  • Medical, Dental, Vision insurance, and a 401(k) retirement plan

  • Hourly employees are generally eligible for accrued Paid Time Off (PTO), Extra Time Off (ETO) and Sick Time. Salaried employees are generally eligible for Flexible Time Off (FTO)

  • Paid Parental Leave for eligible mothers and fathers

  • Healthcare & Dependent Care Flexible Spending Accounts

  • Life, AD&D, and disability insurance

Reach Your Peak at Vail Resorts.
At Vail Resorts, our team is made whole by the brave, passionate individuals who ambitiously push boundaries and challenge the status quo. Whether you’re looking for seasonal work or the career of a lifetime, join us today to reach your peak.

  • Remote work is currently permitted from British Columbia and the 16 U.S. states in which we currently operate. This includes: California, Colorado, Indiana, Michigan, Minnesota, Missouri, New Hampshire, New York, Nevada, Ohio, Pennsylvania, Utah, Vermont, Washington State, Wisconsin, and Wyoming. Please note that the ability to work remotely, and the particulars related to such work, are subject to change at any time; and, accordingly, the Company reserves the right to change its policies and/or require in-person/in-office work at any time in its sole discretion.

Vail Resorts is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, protected veteran status or any other status protected by applicable law.

Requisition ID 490386

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