{"id":3727097,"url":"https://alion.io/job/vail-resorts-principal-machine-learning-engineer","title":"Principal Machine Learning Engineer","company":{"id":1867251,"name":"Vail Resorts","domain":"vailresorts.com","url":"https://alion.io/company/vailresorts","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"lead","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["New York, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":140000,"max":null,"currency":"USD","period":"year","gross":null,"usd_annual":140000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"Git","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"MLFlow","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"dbt","optional":true}],"status":"closed","first_seen_at":"2026-09-14T09:54:51Z","employer_posted_date":null,"last_verified_at":"2026-11-05T04:55:51Z","board_verified":false,"closed_at":"2026-11-05T04:55:51Z","days_open":51,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":51},"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!\n\nCandidates 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).\n\nJob Summary:\n\nWe 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.\n\nThe 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.\n\nJob Specifications:\n\nStarting Wage: $140,000 - $185,000 + Annual Bonus\n\nEmployment Type: Year Round\n\nShift Type: Full Time hours\n\nMinimum Age: At least 18 years of age\n\nHousing Availability: No\n\nJob Responsibilities: \nProductionize ML models developed by data science into reliable, monitored, maintainable systems.\nBuild model data foundations that ensure training, inference, monitoring, and analytics data are trustworthy and scalable.\nArchitect ML platform patterns in Databricks that bring reliability, consistency, governance, performance, and cost discipline to ML and data workflows.\nIdentify and scope opportunities for ML engineering across the business for high-impact.\nDevelop reusable tools, libraries, standards, documentation, and production-readiness practices to enable data science and data engineering teams.\nDevelop analytical and model-powered applications that turn data and ML outputs into usable business workflows for end users.\nPrepare the platform for future AI engineering, including LLM and agent-based systems, as the organization matures.\nProvide technical leadership and mentoring across engineering, architecture, and development including design and code reviews.\n\nJob Requirements: \n\nTechnical Skills:\nQuantitative Foundation: B.S. degree in a quantitative field (e.g., Computer Science, Mathematics, Statistics, Economics, Operations Research, Engineering).\nSoftware Engineering Fundamentals: write clean, modular, testable, maintainable code and understand how to structure production-grade systems rather than one-off notebooks or scripts.\nPython and SQL Proficiency: strong in Python and SQL for building data pipelines, automation, model integrations, analytical workflows, and production services.\nData 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.\nML Lifecycle Fluency: understand the full model lifecycle: data collection, exploration, model development, validation, deployment, monitoring, retraining, and retirement.\nProduction ML Patterns: understand core MLOps patterns such as model registries, feature/data versioning, reproducible environments, testing/validation, monitoring, and rollback.\nCloud 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.\nDatabricks 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.\nDevOps Practices: You use modern engineering practices such as Git, CI/CD, automated testing, code review, dependency management, environment management, and observability.\nApplication Development: You can build applications, APIs, dashboards, or workflow tools that sit on top of data and model outputs.\nSystem Design: You can reason through tradeoffs across reliability, latency, scale, cost, governance, maintainability, and ease of use.\n\nSoft Skills:\nCurious: bring intellectual curiosity, an inquisitive nature, and a desire to deepen your knowledge and continue learning.\nOwnership: take responsibility to proactively advance projects, contribute to the organization, and develop the best solutions.\nCommunication: explain technical concepts, risks, tradeoffs, and recommendations clearly to technical and non-technical audiences.\nCollaboration: work effectively cross-functionally with data scientists, data engineers, analysts, application engineers, product partners, and business stakeholders.\nPragmatism: You know how to balance ideal architecture with business urgency, team maturity, operational constraints, and the need to ship.\n\nPreferred qualifications:\nA graduate degree (Masters or PhD) in a quantitative field\nExperience with dbt (Core) for modular data modeling, including testing, documentation, and dependency management\nExperience with AI engineer to use, build, and monitor agentic solutions\n\nThe expected Total Compensation for this role is $140,000 - $185,000 + Annual Bonus. Individual compensation decisions are based on a variety of factors.\n\nJob Benefits\nSki/Mountain Perks! Free passes for employees, employee discounted lift tickets for friends and family AND free ski lessons \nMORE employee discounts on lodging, food, gear, and mountain shuttles\n401(k) Retirement Plan \nEmployee Assistance Program\nExcellent training and professional development\n\nFull Time roles are eligible for the above, plus:\nHealth Insurance; Medical Insurance, Dental Insurance, and Vision Insurance plans (for eligible seasonal employees after working 500 hours)\nFree ski passes for dependents\nCritical Illness and Accident plans\n\nEmployees 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.\n\nPlease 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. \n\nIn 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. \n\nWe 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.\n\nVail 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.\n\nRequisition ID 517322\nReference Date: 09/05/2026 \nJob Code Function: Data Science","description_format":"text","description_chars":7690,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Dental insurance","Health insurance","Professional development","Retirement plans","Vision insurance"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Consumer Goods","Hotels & Resorts"],"lifecycle":[{"event":"open","at":"2026-11-04T05:50:20Z"},{"event":"close","at":"2026-11-05T04:55:51Z"}],"visa":[],"liveness":null,"pay":{"stated_usd_annual":140000,"is_top_pay":false},"html_url":"https://alion.io/job/vail-resorts-principal-machine-learning-engineer","json_url":"https://alion.io/job/vail-resorts-principal-machine-learning-engineer.json","meta":{"generated_at":"2026-11-05T09:51:35Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":12555,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-06T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":1867251},"rest":"https://alion.io/mcp/rest/get_company?id=1867251"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fvail-resorts-principal-machine-learning-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fvail-resorts-principal-machine-learning-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fvail-resorts-principal-machine-learning-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/vail-resorts-principal-machine-learning-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fvail-resorts-principal-machine-learning-engineer"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3727097}},{"tool":"search_jobs","arguments":{"company":"vailresorts.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3727097},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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