Become an Applied Machine Learning Scientist II at OpenTable, balancing hybrid work with innovative machine learning projects that transform the dining experience. You’ll influence restaurant operations and guest satisfaction. OpenTable offers you the chance to make a tangible impact in this engaging hybrid role. Collaborate with a global team, tackling real-world problems with machine learning solutions that enhance restaurant content understanding.

Your responsibilities span from building data pipelines to applying cutting-edge technologies, ensuring impactful results. Key Responsibilities:

- Prototype and deploy machine learning models for recommendations
- Build scalable data pipelines with top-quality standards
- Design experiments to continually improve model performance




- Utilize large language models for effective content processes
- Work collaboratively to meet various business needs Requirements:
- Bachelor’s, Master’s, or PhD in relevant field
- Strong Python skills and experience with machine learning frameworks
- Proven background in training and fine-tuning models
- Knowledge of algorithms and software engineering principles
- Capability to handle common ML production issues Utilize your machine learning skills to enhance restaurant experiences with OpenTable, alongside a collaborative team.

📌 Hybrid Machine Learning Scientist II Role (Toronto)
🏢 OpenTable
📍 Toronto