Applied Machine Learning Scientist II

This hybrid role requires working in the office two days per week.

With millions of diners 70000 restaurant partners and 25 years of experience OpenTable part of Booking Holdings Inc. (NASDAQ: BKNG) is an industry leader with a passion for helping restaurants thrive. Our world-class technology empowers restaurants to focus on what matters most their team their guests and their bottom line while enabling diners to discover and book the perfect restaurant for every occasion.

Every employee at OpenTable has a tangible impact on what we do and how we do it. Youll also be part of a global team and its portfolio of metasearch brands. Hospitality is all about taking care of others and it defines our culture.

Why this role at OpenTable

OpenTable seats 25million diners each month across 70000 restaurants and taps into more than 20years of booking dataan ideal launchpad for an earlycareer ML our tightknit team every experiment you run and every model you ship goes live quickly and at scale. Youll start with wellscoped 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 realworld 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.

Minimum Qualifications

• Bachelors Masters 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

• Generous paid vacation time off for your birthday
• Work from (almost) anywhere for up to 20 days per year
• Focus on mental health and well-being:
  • Company-paid therapy sessions through SpringHealth
  • Company-paid subscription to Headspace
  • Annual company-wide week off a year - the whole team fully recharges (and returns without a pile-up of work!)
• Paid parental leave
• Paid volunteer time
• Focus on your career growth:
  • Development Dollars
  • Leadership development
  • Access to thousands of on-demand e-learnings
• Travel Discounts
• Employee Resource Groups
• 20 days of paid time off
• Private health and dental insurance
• Life and Disability insurance

The best connections happen face-to-face whether youre sitting down to dinner or having coffee with a coworker. Thats 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 weekgiving employees the best of both worlds: in-person collaboration and flexibility.

The expected range of compensation for this position based in Toronto Canada including commission and/or bonuses is $170000 - $190000 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; flexible spending account; 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.

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.

Inclusion

Were committed to creating a workplace where everyone feels they belong and can thrive. We know the best ideas come when we bring different voices to the table so were building a team as dynamic as the diners and restaurants we serveand fostering a culture where everyone feels welcome to be themselves.

If you need accommodations during the application or interview process or on the job were here to support you. Please reach out to your recruiter to request any accommodations.

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