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Added 1 min ago
TT
Staff Full-Stack Engineer, Core Application
True Talent Solutions Partners
Oakland, CA
- $240,000 to $275,000 USD / year
…scientific research and development. You will help bring core systems of record and agentic AI into a shared interface used by scientists in the materials and chemicals…
Added 3 mins ago
Software Development Engineer, Selection Economics Tech
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Seattle, WA
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Senior Full Stack Engineer | Experimentation - Product Analytics | NASA | Remote
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Remote, United States
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Added 17 mins ago
SYSTEMS ENGINEER
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Brooklyn, NY
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Plumbing Inspector
City of New York
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Kings Point, NY
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Added 22 mins ago
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Cyber-Physical Social System Research Scientist
National Institute of Standards and Technology
Gaithersburg, MD
- $85,447 to $133,142 USD / year
…foundational measurement science that ensures smart manufacturing systems are safe, reliable, and…
Added 22 mins ago
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Advanced Manufacturing Research Scientist
National Institute of Standards and Technology
Gaithersburg, MD
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Added 22 mins ago
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MECHANICAL ENGINEER
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Keyport, WA
- $114,695 to $149,106 USD / year
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Added 23 mins ago
Warehouse Lead - 3rd Shift
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Added 24 mins ago
Principal Machine Learning Engineer
Vail Resorts
NV
We are looking for a curious, driven, innovative machine learning engineer who takes initiative to solve problems and create environments that accelerate the development, deployment, and…
Added 24 mins ago
Simulator Technician (Engineer Systems 2) - 31136
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What You Must Have · Must have excellent communication, interpersonal and presentation skills
Added 24 mins ago
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Lead Developer
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- $113,100 to $169,700 USD / year
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Added 24 mins ago
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🌍 Software Engineer - Backend, Remote- Contract
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Proven ability to debug complex systems, resolve bugs, and deliver effective optimizations.
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Little Rock AFB, AR
- $89,508 to $116,362 USD / year
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Added 25 mins ago
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ENGINEER
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You will serve as a Senior Power Systems Engineer in the Expeditionary & Developmental Power & Energy, code 635 of CARDEROCK DIV NS.
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Senior Staff Network Engineer, Google Global Infrastructure
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Research Engineer, GenMedia Safety Evaluations and Threat Intelligence TLM, DeepMind
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Demonstrated research in LLM reasoning, multimodal systems, RL/agents, robotics, or scientific AI.
Added 28 mins ago
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IT Specialist (APPSW) - Test Automation Engineer
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…the adoption of modern software development methodologies, systems architecture, cloud platforms, and IT modernization efforts. | Proposes best practices to help improve how systems…
Added 28 mins ago
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MANAGER
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Panama City Naval Surface Warfare Center, FL
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Added 28 mins ago
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Interdisciplinary General Engineer (Facility Representative)
Other Agencies and Independent Organizations
Oak Ridge, TN
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Vail Resorts

Principal Machine Learning Engineer

NV, United States

Apply on usnlx.com About employer

Applications open in a new tab.

Job details

Posting language: English
Posted: Sep 13, 2026

Original job description

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:

We are looking for a curious, driven, innovative machine learning engineer who takes initiative to solve problems and create environments that accelerate the development, deployment, and usage of data science models and AI to drive greater organizational impact.

The Data Science & Data Engineering team within the Enterprise Analytics organization builds data assets, predictive models, analytical applications, and platforms across the organization. Our team collaborates with business stakeholders, analysts, and technology teams to tackle high-impact use cases with state-of-the-art models and tools to grow the business, streamline costs, and improve guest experiences.

Job Specifications:

Starting Wage: $140,000 - $185,000 + Annual Bonus
Employment Type: Year Round
Shift Type: Full Time hours
Minimum Age: At least 18 years of age
Housing Availability: No

Job Responsibilities:

Productionize ML models developed by data science into reliable, monitored, maintainable systems.
Build model data foundations that ensure training, inference, monitoring, and analytics data are trustworthy and scalable.
Architect ML platform patterns in Databricks that bring reliability, consistency, governance, performance, and cost discipline to ML and data workflows.
Identify and scope opportunities for ML engineering across the business for high-impact.
Develop reusable tools , libraries, standards, documentation, and production-readiness practices to enable 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.

Job Requirements:

Technical Skills:

Quantitative Foundation : B.S. degree in a quantitative field (e.g., Computer Science, Mathematics, Statistics, Economics, Operations Research, Engineering).
Software Engineering Fundamentals: write clean, modular, testable, maintainable code and understand how to structure production-grade systems rather than one-off notebooks or scripts.
Python and SQL Proficiency: strong in Python and SQL for building data pipelines, automation, model integrations, analytical workflows, and production services.
Data Modeling and Pipeline Design: understand how to design reliable, well-structured data assets, including curated tables, feature datasets, batch pipelines, orchestration, data quality checks, and lineage.
ML Lifecycle Fluency: understand the full model lifecycle: data collection, exploration, model development, validation, deployment, monitoring, retraining, and retirement.
Production ML Patterns: understand core MLOps patterns such as model registries, feature/data versioning, reproducible environments, testing/validation, monitoring, and rollback.
Cloud and Platform Engineering: You are comfortable working in cloud-based data and ML environments and understand the foundations of permissions, environments, jobs, services, storage, networking, and cost-aware architecture.
Databricks Expertise : You’re familiar and experienced with the core parts of Spark, Unity Catalog, Delta Lake, Databricks Workflows, MLflow, model registry patterns, job/cluster optimization, and governance.
DevOps Practices: You use modern engineering practices such as Git, CI/CD, automated testing, code review, dependency management, environment management, and observability.
Application Development : You can build applications, APIs, dashboards, or workflow tools that sit on top of data and model outputs.
System Design: You can reason through tradeoffs across reliability, latency, scale, cost, governance, maintainability, and ease of use.

Soft Skills:

Curious : bring intellectual curiosity, an inquisitive nature, and a desire to deepen your knowledge and continue learning.
Ownership : take responsibility to proactively advance projects, contribute to the organization, and develop the best solutions.
Communication: explain technical concepts, risks, tradeoffs, and recommendations clearly to technical and non-technical audiences.
Collaboration: work effectively cross-functionally with data scientists, data engineers, analysts, application engineers, product partners, and business stakeholders.
Pragmatism : You know how to balance ideal architecture with business urgency, team maturity, operational constraints, and the need to ship.

Preferred qualifications:

A graduate degree (Masters or PhD) in a quantitative field
Experience with dbt (Core) for modular data modeling, including testing, documentation, and dependency management
Experience with AI engineer to use, build, and monitor agentic solutions

The expected Total Compensation for this role is $140,000 - $185,000 + 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

Employees can work remotely from British Columbia, Washington D.C., 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 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.

We follow all federal, state, and local laws including restrictions on child/minor labor. Minors hired into this position will not be asked or permitted to engage in any activities restricted to adult workers.

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 517322

Reference Date: 09/05/2026

Job Code Function: Data Science

Apply on usnlx.com About employer

More about this job

Skills

Machine learning
Data engineering
ML
Create model
Databricks
Documentation
Leadership
Coaching
Computer science
Statistics
Research
Python
SQL
Data modelling
Statistical quality control
Apache Spark
Unity
Mlflow
DevOps
Git
CI/CD
Test automation
Workflow
Communication skills
Collaboration
dbt

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Work requirements

Jobs in the United States