Applied Machine Learning Scientist II

Remote Location - Ontariofull timeRemote

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mid

$170k–$190k

H1B: yes

Opentable Applied Machine Learning Scientist II to prototype, evaluate, and productionize machine learning systems for restaurant content understanding and recommendation at OpenTable. Collaborate cross-functionally to translate business needs into scalable ML solutions.

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.

Qualification

Bachelor'sHands-on experience trainingExposure to search systems

Required

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

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

Dental
PTO
Equity/RSU
Annual Bonus
Parental Leave
Life Insurance
Wellness

Company

Opentable

View company page

Source: greenhouse

Active within the past hour

Remote-friendly

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Must-Have Skills for This Role

Bachelor'sHands-on experience trainingExposure to search systems

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