AI Engineer

Job Description

Job Title: AI Engineer

Location: New York, NY (Manhattan, NY

• Remote)
  
  

Department: Technology/Revenue Strategy

Reports To: Chief Executive Officer

FLSA Status: Exempt

Work Type: Remote Position with occasional travel to the Corporate Office

Employment Type: Full Time

Company: Rebel Hotel Company

Position Summary

We're a hospitality company building the next generation of intelligent pricing, demand, and guest-experience systems. We're hiring an AI Engineer to turn that work into software — models and tools that forecast demand, optimize rates, and surface account intelligence so our revenue managers make sharper decisions, faster.

What You'll Build

• Demand forecasting models that predict occupancy and room-night demand by property, segment, day-of-week, and season — accounting for events, seasonality, and booking pace.
• Dynamic pricing and rate-optimization engines that recommend BAR and corporate rates, balancing occupancy, ADR, and RevPAR against competitor positioning.
• Account intelligence tooling that ingests internal production data and external signals (M&A activity, headcount trends, travel-budget shifts) to flag growing accounts, at-risk accounts, and uncaptured market opportunity.
• Labor and staffing models that forecast labor demand against projected occupancy and arrivals — optimizing schedules, hours, and cost across housekeeping, front desk, F&B, and other departments while protecting service levels.
• RFP and negotiation support tools that help the team price contracts, model rate scenarios, and prioritize target accounts during RFP season.
• LLM-powered workflows — summarizing market intelligence, drafting account strategy notes, and answering natural-language questions over revenue data.
• A testing laboratory for beta technologies — stand up and run a controlled environment where new AI tools and models can be piloted, stress-tested, and validated against real operational data before broader rollout, including the experimentation framework, sandboxed data, and feedback loops with property and commercial teams.
  
  

What You'll Do

• Design, train, evaluate, and deploy machine learning models on real booking, rate, and market data.
• Build data pipelines that bring together PMS, CRS, booking-channel, and third-party market data into clean, reliable feature sets.
• Stand up the infrastructure to serve models in production — APIs, monitoring, retraining, and guardrails.
• Operate the beta testing lab — design pilots, recruit internal users, measure results, and decide what graduates to production versus what gets killed.
• Partner closely with revenue and commercial teams to translate domain knowledge into product, and to make sure outputs are trustworthy and actionable.
• Define and track the metrics that matter — forecast accuracy, recommendation adoption, labor cost and productivity, and downstream revenue impact.
  
  

What We’re Looking For

Required

• 3+ years building and shipping ML systems in production (not just notebooks).
• Strong Python and the modern ML/data stack (e.g. pandas, scikit-learn, PyTorch or TensorFlow, SQL).
• Solid grounding in forecasting, optimization, or recommendation/pricing problems.
• Experience taking models from prototype to deployed service, including monitoring and iteration.
• Ability to communicate clearly with non-technical stakeholders and translate business problems into technical ones.
  
  

Nice To Have

• Experience in hospitality, travel, airlines, retail, or another revenue-management-driven industry.
• Familiarity with dynamic pricing, demand modeling, or yield/revenue management.
• Experience integrating LLMs into applications (RAG, structured extraction, agentic workflows).
• Cloud and MLOps experience (AWS/GCP/Azure, containerization, CI/CD for ML).
• Comfort with experimentation and causal measurement (A/B testing, uplift modeling).
  
  

What We Offer

• Competitive base salary and performance-based incentive plan
• Medical, dental, and vision insurance
• 401(k) plan with company match
• Paid time off and holidays
• Career advancement opportunities within a rapidly growing company
• A chance to be part of the Rebel movement redefining hospitality leadership
  
  

Salary Range

$190,000 - $200,000 annually

Why This Role

You'll own meaningful problems end-to-end, see your work move real revenue, and help build a data and AI capability from an early stage. If you want your models to ship and matter rather than sit in a backlog, this is that role.