OpenTable
Applied Machine Learning Scientist II
Toronto, Canada · Mid
Sponsorship not specified$170k-$190kDetected 49 days ago
PythonData StructuresAlgorithmsMachine LearningDeep LearningTensorFlowPyTorchscikit-learnNLPLLMsStatisticsA/B TestingResearchLeadershipCommunicationCollaborationMentoring
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odds of building a lasting career here
59Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70
Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
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About the role
- This hybrid role requires working in the office two days per week.
- 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.
Responsibilities
- Design evaluation frameworks and experiments to define success metrics and continuously improve model quality, relevance, and product impact.
Requirements
- 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.
- 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.
- We celebrate agency, speed, and relentless experimentation, balanced by disciplined prioritization rooted in ML expertise and real‑world production and business constraints.
Nice to have
- Familiarity with large language model (LLM) workflows for text and image processing tasks.
- Demonstrated applied curiosity through substantial technical projects, research, open-source contributions, or internships.
- Company-paid therapy sessions through SpringHealth
- Company-paid subscription to Headspace
- Paid volunteer time
- Focus on your career growth:
- Development Dollars
- Leadership development
Compensation
- Work from (almost) anywhere for up to 20 days per year
- Annual company-wide week off a year - the whole team fully recharges (and returns without a pile-up of work!)
Benefits
- Generous paid vacation + time off for your birthday
- Paid parental leave
- 20 days of paid time off
- Private health and dental insurance
- 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.
- 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.
Company info
- Every employee at OpenTable has a tangible impact on what we do and how we do it.
- You'll 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.
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This listing is sourced directly from OpenTable's careers page and normalized into a canonical job model.