Who you are

- Bachelor's, Master's, or PhD degree in Computer Science, Statistics, Mathematics, or a related technical field, with 0-3 years of relevant academic or professional experience

- Proficiency in Python and foundational machine learning frameworks (e.g., PyTorch, TensorFlow, scikit-learn, XGBoost)

- Hands-on experience training, tuning, evaluating, and debugging classical machine learning and deep learning models, including Transformers

- Strong foundation in software engineering principles, algorithms, and data structures, with familiarity in large-scale data systems

- Demonstrated ability to translate business goals into machine learning metrics and address common production issues like data drift and overfitting

- Experience applying machine learning to text, image, or multimodal content for retrieval, matching, ranking, or recommendation

- Familiarity with large language model (LLM) workflows for text and image processing tasks

- Exposure to search systems, information retrieval, embeddings, or learning-to-rank methodologies

- Experience with human-in-the-loop machine learning systems supporting operational or editorial workflows

- Demonstrated applied curiosity through substantial technical projects, research, open-source contributions, or internships

What the job involves

- OpenTable seats 25 million diners each month across 70 000+ restaurants and taps into more than 20 years of booking data—an ideal launchpad for an early‑career ML scientist. In our tight‑knit team, every experiment you run and every model you ship goes live quickly and at scale

- You’ll start with well‑scoped projects and close mentorship, then rapidly earn the freedom to pitch and implement research ideas that deliver measurable value for diners, restaurants, and the business. We celebrate agency, speed, and relentless experimentation,



balanced by disciplined prioritization rooted in ML expertise and real‑world production and business constraints. This posting is for an existing vacancy

- Prototype, evaluate, and productionize machine learning systems to enhance restaurant content understanding, retrieval, matching, ranking, and recommendation

- Build and monitor scalable data and machine learning pipelines, ensuring strong data quality and reproducibility

- Design evaluation frameworks and experiments to define success metrics and continuously improve model quality, relevance, and product impact

- Apply large language models (LLMs) and multimodal approaches to content tasks like extraction and classification while optimizing for performance, latency, and cost

- Develop reusable machine learning tooling and maintain rigorous standards for code quality, deployment, and documentation

- Collaborate cross-functionally with engineering, product, and content teams to translate ambiguous business needs into practical, scalable machine learning solutions

- While the majority of your responsibilities may align with conventional business hours, there will be instances where you are expected to manage communications - via calls, Slack messages, or emails - outside of regular working hours to effectively collaborate with international colleagues, respond to restaurant partners, and/or address urgent matters. OpenTable will always abide by and consider local laws and regulations

Perks

- Work from (almost) anywhere - wherever you do your best work

- Mental health and well-being - company-paid therapy sessions through SpringHealth, company-paid subscription to HeadSpace, and company-wide weeks off a year so the whole team can recharge

- Generous parental leave
- Generous paid vacation + time off for your birthday

- Paid volunteer time
- Enriched learning and development opportunities - leadership development & access to thousands of on-demand e-learnings

📌 Applied Machine Learning Scientist (Toronto)
🏢 OpenTable
📍 Toronto