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 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 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
- Strong 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)
🏢 OpenTable
📍 Toronto