Machine Learning Engineer

Dorsia is at the forefront of hospitality tech innovation. We are revolutionizing the way people experience dining by leveraging cutting-edge technology to offer exclusive restaurant reservations and VIP experiences. Join us as we continue to expand our footprint and reshape the hospitality industry.

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. 

• →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.

• 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 and a good understanding of 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 a drive to tie models to real business outcomes
• 5 days a week in our SoHo NYC office

• Experience working on 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

• Languages: Python, TypeScript, PHP
• Modeling & ML: PyTorch, Hugging Face, scikit-learn, LangChain
• Data: dbt, PostgreSQL, Redis, Airflow, Metabase
• Infra: AWS, Cloudflare, Vercel, Terraform, GitHub Actions

We don’t subscribe to check-the-box hiring. We hire for merit and mindset, which naturally creates a team with varied backgrounds. What unites us isn’t demographics, it’s a shared vision: to build the social operating system for the cultural vanguard.

We’re not a 9-to-5 company. Our lifestyle mirrors our members. Early flights, after-work events, and late-night sprints when the work demands it. But we love what we do, and we definitely love a good party.

Working at Dorsia isn’t for everyone—and that’s the point. Our culture is designed for builders, not passengers. We move fast, set ambitious standards, and expect people to rise to them. If you have the talent and the drive, this will be a ride to remember.

We’re building something special. It will take long hours and relentless effort. It’s not for everyone. For those with the metabolism, you’ll create something that changes how culture is lived. And that’s the kind of work worth your life’s energy.