Machine Learning Engineer
Machine Learning Engineer at Dorsia, an AI-native hospitality-tech startup in NYC: build and deploy models for search, ranking, recommendations, pricing, fraud detection, and demand prediction, owning the full ML lifecycle from data pipelines to real-time inference. Stack includes Python, SQL, PyTorch, scikit-learn, Airflow, dbt, and AWS; 5 days/week in the SoHo office.
- Compensation
- $100K–$250K / yr
- Location
- New York City
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 5+ years
- Category
- Ml / AI
- Posted
Skills
Must have
- 5–10 years of experience in software or ML engineering
- Experience building, shipping and scaling ML models in production (NLP, ranking, classification, etc.)
- Strong programming skills in Python and SQL; best practices in software and data engineering
- Familiarity with ML tooling (PyTorch, TensorFlow, scikit-learn), orchestration (Airflow, dbt), and deployment
- Experience with cloud services (AWS, GCP, or similar)
- Ability to reason about data and metrics and tie models to real business outcomes
- 5 days a week in the SoHo NYC office
Nice to have
- Experience with recommender systems, reinforcement learning, graph-based models, marketplace dynamics, or pricing systems
- Understanding of retrieval systems, embeddings, or vector search
- Experience in luxury, hospitality, or marketplace products
- Familiarity with feature stores and observability tools
- Startup mindset: high agency, comfort with ambiguity, bias to ship
Full description
About Us
Dorsia is an AI-native hospitality-tech company redefining access to the world's most coveted tables, events, and cultural moments. We give our members exclusive access and our operators unmatched control, visibility, and revenue.
We don't just provide access, we create it. Dorsia owns its luxury experiential events end-to-end, from the guest list to production and the technology behind every entrance. Through our enterprise platform, we're building the infrastructure layer for the future of hospitality, powering leading hotels and private member clubs with the same systems that run Dorsia.
We grew 480% in 2025 and today we operate across 400+ venues in 26 cities with revenue engines spanning consumer and enterprise membership, Dorsia Pay, the Culture Calendar, and our enterprise platform.
Backed by $54M from Index Ventures, Invus, Red Sea Ventures, Major Food Group, and MoonPay, we're scaling into our most consequential phase of growth. We're adding exceptional talent to drive what comes next, and that's where you come in.
About the Role
We’re looking for a Machine Learning Engineer to join our growing team and own the development of intelligent systems that power core product features, personalization, and operational efficiency. You’ll work across the stack—from data pipelines and model training to inference infrastructure and product integration.
This is a hands-on, full-stack ML role with a direct line to impact—shaping how members discover experiences, how restaurants manage demand, and how our business scales.
What You’ll Do
- **Build ML-Powered Features
**Train and deploy models for search, ranking, recommendations, pricing, fraud detection, demand prediction, and more.
- **Work Across the ML Lifecycle
**Own projects from end-to-end, covering data sourcing and feature engineering to model deployment and monitoring.
- Deploy at Scale
Build real-time inference pipelines and batch workflows using modern cloud-native infrastructure.
- **Use AI to Ship Faster
**Leverage generative AI and LLMs to accelerate development, boost internal tooling, and augment user experiences.
- **Collaborate Across Functions
**Partner closely with product, design, and ops to ship delightful and impactful ML features.
What We’re Looking For
Must-Haves
- 5–10 years of experience in software or ML engineering
- Experience building,shipping and scaling ML models in production (NLP, ranking, classification, etc.)