Applied Machine Learning Scientist II
Core
Build and deploy machine learning systems for restaurant content understanding, retrieval, matching, ranking, and recommendation to serve millions of diners and 70,000+ restaurant partners.
Role type
Applied Machine Learning Scientist (Early Career)
Builds
Production ML models for search, ranking, and recommendation in the hospitality domain
Domain
Hospitality / Search & Recommendation
Deliverable
production ML models
Required skills
Python, PyTorch, TensorFlow, scikit-learn, XGBoost, Transformers, classical ML, deep learning, software engineering, algorithms, data structures
Preferred skills
LLM workflows, multimodal content processing, search systems, information retrieval, embeddings, learning-to-rank, human-in-the-loop systems
Technologies
PyTorch, TensorFlow, scikit-learn, XGBoost, LLMs
Responsibilities
Prototype, evaluate, and productionize ML systems for content tasks; Build and monitor scalable data and ML pipelines; Design evaluation frameworks and experiments; Apply LLMs and multimodal approaches to content tasks; Develop reusable ML tooling; Collaborate cross-functionally to translate business needs into ML solutions
Seniority
Junior, hands-on IC