Dorsia is seeking a Machine Learning Engineer to develop intelligent systems that enhance product features, personalization, and operational efficiency in the hospitality industry.
Requirements
- 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)
- Understanding of retrieval systems, embeddings, or vector search
- Experience working on recommender systems, reinforcement learning, graph-based models, marketplace dynamics, or pricing systems
Responsibilities
- Train and deploy models for search, ranking, recommendations, pricing, fraud detection, demand prediction, and more.
- Own projects from end-to-end, covering data sourcing and feature engineering to model deployment and monitoring.
- Build real-time inference pipelines and batch workflows using modern cloud-native infrastructure.
- Leverage generative AI and LLMs to accelerate development, boost internal tooling, and augment user experiences.
- Build, shipping and scaling ML models in production (NLP, ranking, classification, etc.)
- Deploy at Scale
- Use AI to Ship Faster
Other
- Collaborate Across Functions
- Ability to reason about data and metrics—and a drive to tie models to real business outcomes
- Experience in luxury, hospitality, or marketplace products
- Familiarity with feature stores, and observability tools
- Startup mindset: high agency, comfort with ambiguity, bias to ship
