Drive innovation as an Applied Machine Learning Scientist II at OpenTable, blending hybrid office work with impactful ML solutions. Leverage data to enhance restaurant experiences and decision-making.In this role, you will prototype, evaluate, and productionize machine learning systems within a cooperative workplace at OpenTable. This hybrid position requires coming into the office two days a week, where you’ll work with a tight-knit team focused on delivering measurable value through ML. You’ll build scalable data pipelines and apply large language models to improve various content tasks.Key Responsibilities:
Prototype and optimize machine learning models for restaurant content
Build and monitor robust data pipelines for quality assurance
Design experiments and frameworks for success metrics




Apply large language models for content classification
Collaborate with cross-functional teams to implement solutionsRequirements:
Bachelor’s, Master’s, or PhD in related technical field
Proficiency in Python and ML frameworks like TensorFlow
Experience with evaluating and debugging machine learning models
Solid foundation in software engineering and algorithms
Ability to address production challenges like overfittingContribute your machine learning expertise to enhance dining experiences at OpenTable as a key part of their team.#J-18808-Ljbffr

📌 Machine Learning Scientist Ii At Opentable Toronto (Canada)
🏢 OpenTable
📍 Canada