Applied Machine Learning Scientist II

Job Title: Applied Machine Learning Scientist II Company: OpenTable Job Category: Machine Learning Roles & Responsibilities: This hybrid role requires working in the office two days per week. Why this role at OpenTable? 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. Responsibilities * 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. * Paid parental leave * Paid volunteer time * Focus on your career growth: + Development Dollars + Leadership development + Access to thousands of on\-demand e\-learnings The best connections happen face\-to\-face, whether you’re sitting down to dinner or having coffee with a coworker. That’s why OpenTable has adopted a hybrid workplace model. This role aligns with that approach, with an expectation of coming into the office two days a week—giving employees the best of both worlds: in\-person collaboration and flexibility. Work Environment \& Flexibility At OpenTable, we pride ourselves on fostering a global and dynamic work environment. As a team member with us, you will benefit from a schedule tailored to accommodate a global workforce operating across multiple time zones. 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. Work Location: Toronto, Ontario, Canada Availability: Full time

Minimum Qualifications * 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. Preferred Qualifications * 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. Benefits And Perks The expected range of compensation for this position based in Toronto, Canada, including commission and/or bonuses is $170,000 \- $190,000 CAD. There are a variety of factors that go into determining a compensation range, including but not limited to external market benchmark data, geographic location, and years of experience sought/required. We offer a competitive base salary and benefits including: health benefits; retirement benefits; life insurance; paid time off (including PTO, paid sick leave, medical leave, bereavement leave, floating holidays and paid holidays); and parental leave benefits. This role is eligible to be considered for an annual bonus and equity grant. Key Skills: Machine Learning, Python, TensorFlow, PyTorch Salary: $170,000