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 collaborative environment 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 solutions

Requirements:
• 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
• Robust foundation in software engineering and algorithms
• Ability to address production challenges like overfitting

Contribute your machine learning expertise to enhance dining experiences at OpenTable as a key part of their team.
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📌 Machine Learning Scientist II at OpenTable (Ontario)
🏢 OpenTable
📍 Ontario