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
- Solid 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.

📌 Machine Learning Scientist II at OpenTable (Toronto)
🏢 OpenTable
📍 Toronto