Senior Machine Learning Engineer

Our mission is to create the Experience of a Lifetime for our employees, so they can, in turn, create the Experience of a Lifetime for our guests. We own and operate the most renowned destination resorts in the world as well as regional and local ski areas outside major cities, and connect them all through one unrivaled network. We are looking for ambitious leaders, innovators and creators to join our talented team. If you’re ready to pursue your fullest potential, we want to get to know you!

Candidates for year-round positions are reviewed on a rolling basis. Applications will be accepted up to 90 days after the posting date, or until the position is filled (whichever is first).

Job Summary:

The Data Science & Engineering team leverages internal data assets to deliver performant, scalable, and impactful data-focused solutions across the business. This team drives innovation by supporting modeling initiatives and collaborating with technology and business partners to unlock strategic opportunities and enhance guest-facing initiatives. Our goals include improving the performance of our existing portfolio of in-market models, enabling data-driven decision-making, and scaling solutions across core business areas.

As a Senior Machine Learning Engineer, you will independently identify, plan, and execute machine learning engineering initiatives to solve complex technical challenges that align with business objectives. You will lead the design, development, and deployment of end-to-end data pipelines, model execution frameworks, and ML solutions. Additionally, you will help establish scalable technologies, enhance operational efficiency, and foster collaboration across technical and business stakeholders.

Job Specifications:  

• Outlet: Corporate
• The budgeted range starts at $103,596 - $140,000 + annual bonus. Actual pay will be adjusted based on experience
• Shift & Schedule Availability: Full Time / Year Round
• Other Specifics: Hybrid

Job Responsibilities

• Design, build, and deploy scalable machine learning pipelines and systems that drive data-focused impact across the organization.
• Develop and optimize shared libraries, infrastructure, and documentation to improve team efficiency and scalability.
• Lead and collaborate on cross-functional technology and data initiatives, ensuring alignment across stakeholders.
• Mentor junior engineers and provide technical guidance to team members, promoting best practices in machine learning, data engineering, and software development.
• Serve as a subject matter expert in machine learning, data engineering, and MLOps, supporting strategic technical and business decisions.

Job Requirements

• Proven experience with MLOps practices, including developing and automating scalable machine learning pipelines in cloud environments (Azure, AWS, GCP).
• Expertise in data warehousing systems, data integration, and cloud data solutions such as Snowflake, or Databricks.
• Proficiency with CI/CD tools (e.g., GitLab CI/CD, GitHub Actions, Azure Dev Ops) and version control systems like Git.
• Advanced knowledge of Python and SQL, with a track record of building production-ready solutions.
• Experience working in Linux environments and managing software dependencies across deployment environments.
• Strong familiarity with scalable data processing frameworks like Apache Spark.
• Experience with live machine learning systems, ensuring reliable performance and monitoring.
• Excellent communication skills, with the ability to translate technical concepts for diverse audiences and develop comprehensive documentation.

The expected Total Compensation for this role is $103,596 - $140,000 + annual bonus. Individual compensation decisions are based on a variety of factors.
 

Job Benefits

• Ski/Mountain Perks! Free passes for employees, employee discounted lift tickets for friends and family AND free ski lessons
• MORE employee discounts on lodging, food, gear, and mountain shuttles
• 401(k) Retirement Plan
• Employee Assistance Program
• Excellent training and professional development

Full Time roles are eligible for the above, plus:

• Health Insurance; Medical Insurance, Dental Insurance, and Vision Insurance plans (for eligible seasonal employees after working 500 hours)
• Free ski passes for dependents
• Critical Illness and Accident plans

Vail Resorts offers a ‘Hybrid’ work environment for Broomfield-based roles where employees must live within 50 miles of the Broomfield office and work on-site Tuesday, Wednesday, Thursday and have flexibility to work off-site on Mondays and Fridays.

Please note that the ability to work in person or off-site, 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 or off-site work at any time in its sole discretion. 

In completing this application, and when submitting related documentation, applicants may redact information that identifies their age, date of birth, and/or dates of attendance at or graduation from an educational institution. 

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  506885
Reference Date: 01/31/2025 
Job Code Function: Marketing