Become an Applied Machine Learning Scientist II at OpenTable, balancing hybrid work with cutting-edge 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 efficient 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