Applied Machine Learning Scientist Hybrid Role (Winnipeg)

Applied Machine Learning Scientist Hybrid Role (Winnipeg)

16 Sep
|
Socket.dev
|
Winnipeg

16 Sep

Socket.dev

Winnipeg

Join OpenTable as an Applied Machine Learning Scientist II in a hybrid role that promotes flexibility while driving innovation. Engage in impactful projects leveraging machine learning to enhance the dining experience.

As part of a global team at OpenTable, you will work two days a week in the office and apply your machine learning expertise to evaluate and implement scalable solutions. This position encourages creativity and mentorship, allowing you to explore various machine learning applications effectively while contributing to a culture of experimentation and discipline.

Key Responsibilities:



• Develop and productionize machine learning systems for content improvement • Design and monitor robust data pipelines for quality assurance • Establish evaluation frameworks to enhance model performance • Utilize large language models for effective content processing • Engage with internal teams to create practical solutions

Requirements: • Degree in Computer Science, Statistics, or similar (0-3 years experience) • Strong Python skills and machine learning framework knowledge • Familiar with training and evaluating machine learning models • Understanding of algorithms and data structures • Competent in addressing challenges such as overfitting

Make a significant impact in the thriving dining industry with revolutionary machine learning techniques at OpenTable. #J-18808-Ljbffr

📌 Applied Machine Learning Scientist Hybrid Role (Winnipeg)
🏢 Socket.dev
📍 Winnipeg

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