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Principal Machine Learning Engineer

Vail Resorts Corporate United States

United States

Today

$140k - $185k/yr Full time Agent Based Systems Artificial Intelligence Big Data

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Job Description

Lead machine learning engineering across production systems, data foundations, and the Databricks platform for Vail Resorts Corporate.

Responsibilities

Productionize ML models from data science teams into reliable, monitored, maintainable systems.
Build model data foundations that support trustworthy and scalable training, inference, monitoring, and analytics data.
Architect ML platform patterns in Databricks to improve reliability, consistency, governance, performance, and cost discipline.
Spot and scope high-impact ML engineering opportunities across the business.
Create reusable tools, libraries, standards, documentation, and production-readiness practices for data science and data engineering teams.
Develop analytical and model-powered applications that turn data and ML outputs into usable business workflows for end users.
Prepare the platform for future AI engineering, including LLM and agent-based systems, as the organization matures.
Provide technical leadership and mentoring across engineering, architecture, and development, including design and code reviews.

Requirements

B.S. degree in a quantitative field (examples: Computer Science, Mathematics, Statistics, Economics, Operations Research, Engineering).
Ability to write clean, modular, testable, maintainable code and structure production-grade systems (not one-off notebooks or scripts).
Strong Python and SQL skills for data pipelines, automation, model integrations, analytical workflows, and production services.
Understanding of reliable, well-structured data assets such as curated tables, feature datasets, batch pipelines, orchestration, data quality checks, and lineage.
Knowledge of the full model lifecycle: data collection, exploration, model development, validation, deployment, monitoring, retraining, and retirement.
Familiarity with core MLOps patterns including model registries, feature/data versioning, reproducible environments, testing/validation, monitoring, and rollback.
Comfort working in cloud-based data and ML environments, including foundations of permissions, environments, jobs, services, storage, networking, and cost-aware architecture.
Experience with core Databricks components: Spark, Unity Catalog, Delta Lake, Databricks Workflows, and MLflow, including model registry patterns, job/cluster optimization, and governance.
Use modern engineering practices: Git, CI/CD, automated testing, code review, dependency management, environment management, observability.
Build applications on top of data and model outputs, including APIs, dashboards, or workflow tools.
Ability to reason through tradeoffs across reliability, latency, scale, cost, governance, maintainability, and ease of use.
Curiosity and eagerness to deepen knowledge through continued learning.
Ownership mindset to proactively advance projects and contribute best solutions.
Clear communication of technical concepts, risks, tradeoffs, and recommendations to technical and non-technical audiences.
Cross-functional collaboration with data scientists, data engineers, analysts, application engineers, product partners, and business stakeholders.
Pragmatism to balance ideal architecture with business urgency, team maturity, operational constraints, and the need to ship.

Preferred Qualifications

Graduate degree (Masters or PhD) in a quantitative field.
Experience with dbt Core for modular data modeling, including testing, documentation, and dependency management.
Experience building and monitoring agentic solutions for AI engineering use cases.

Technologies

Python, SQL
Databricks, Spark
Unity Catalog, Delta Lake
Databricks Workflows, MLflow
Git, CI/CD
LLM, agent-based systems

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

Job Details

Salary: USD 140,000 - 185,000 per year
Starting wage: $140,000 - $185,000 + annual bonus
Location: United States (hybrid)
Employment type: Year round
Shift type: Full time hours
Minimum age: At least 18 years of age
Housing availability: No
Remote work availability: employees can work remotely from British Columbia, Washington D.C., and the 16 U.S. states currently operating in: California, Colorado, Indiana, Michigan, Minnesota, Missouri, New Hampshire, New York, Nevada, Ohio, Pennsylvania, Utah, Vermont, Washington State, Wisconsin, Wyoming.
Requisition ID: 517322
Reference date: 09/05/2026
Job code function: Data Science

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