Machine Learning Engineer

Why Dorsia

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.

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.)


• 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

Nice-to-Haves

• 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

Tech Stack Snapshot

• 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

Compensation & Benefits:

• Salary ranges are based on paying competitively for our size and stage. We determine our pay by considering skills and experience related to the role, location, and ensuring internal equity relative to other Dorsia employees


• Flexible PTO


• Medical, dental, and vision insurance


• FSA


• Commuter benefits


• Free membership to One Medical


• Teladoc


• Talkspace


• Kindbody


• 401(k)


• In-office lunch 3 days a week


• Employee Dining Credits

Compensation commensurate with experience.

Compensation:

New York Pay Range

$100,000—$200,000 USD

Our Core Values

Lead with hospitality. We respect the craft and precision that are intrinsic to the hospitality industry. We are a team diverse in background and thought, built to be the connective tissue between artists, chefs, diners, and members.

Mise en place. We are persistent in preparation, prioritization, and focus to anticipate our customers’ needs to create a powerful platform rooted in simplicity and elegance. And we know that details matter, which is why superior design is crucial to our brand ethos. Thoughtful design is baked into everything we do—our product, brand, creative, culture, and beyond.

Go around the table—then commit. We know creativity takes feedback and iteration, and differing opinions can lead to healthy debate. While we encourage all voices to speak up and be heard, we are geared toward action and unify around the decision once it's made. Sometimes an individual idea or project may not be what’s best for the company, so don’t be afraid to kill your darlings.

Our product is our signature dish. We are a product and marketing-led organization. Protecting our brand and vision needs to be top-of-mind with every move we make.

Optimize turn times. We are creating beautifully-designed, tech-forward solutions to automate all sides of our business: for members, restaurants, and employees. And we’re laying a data-rich foundation to enable all stakeholders to make better decisions and enjoy the finer things in life.

Savor it. We eat slowly and celebrate the wins we share with those around the table. We’re in this for the long-haul, so enjoy the ride.

Stay hungry. We can change the world or someone else will. We believe in a sense of urgency to keep pushing toward our goals. And there’s always room for dessert, because there’s always more to do.