
1001 - 5000 employees
Founded 2004
🍽️ Food & Beverage
🏨 Hospitality
📣 Marketing
Food & Beverage • Hospitality • Marketing
Yelp is a platform that connects people with great local businesses, allowing users to write and share reviews of a variety of services including restaurants, boutiques, salons, dentists, mechanics, plumbers, and more. With approximately 155 million cumulative reviews contributed by users, Yelp enhances the consumer experience by bringing traditional word-of-mouth recommendations online.
🕒 October 19
🇨🇦 Canada – Remote
💵 $135k - $185k / year
⏰ Full Time
🟠 Senior
🤖 Machine Learning Engineer
👻 Ghost score 0%
Where this job comes from
Posted on Yelp's careers page, not through a job board
First seen by Remote Rocketship October 19
Still open on Yelp's site. Checked 28 minutes ago.

1001 - 5000 employees
Founded 2004
🍽️ Food & Beverage
🏨 Hospitality
📣 Marketing
Food & Beverage • Hospitality • Marketing
Yelp is a platform that connects people with great local businesses, allowing users to write and share reviews of a variety of services including restaurants, boutiques, salons, dentists, mechanics, plumbers, and more. With approximately 155 million cumulative reviews contributed by users, Yelp enhances the consumer experience by bringing traditional word-of-mouth recommendations online.
• Conduct end-to-end analyses, from data wrangling via SQL or Python to statistical modeling and presenting business ideas • Mentor and guide junior engineers, fostering learning and technical excellence • Work with large and complex textual and visual datasets • Support development and deployment of machine-learned models for offline, batch-based data products and online, real-time services • Work on text and visual understanding and fine-tune transformer models to derive embeddings for multiple input types • Productionize and automate model pipelines within Python services • Drive adoption of best practices in ML development and operations
• Experience developing and productionizing machine learning models, particularly neural networks, computer vision and LLMs, including their supported data pipelines • Experience with PyTorch, TensorFlow, Spark MLlib, XGBoost, and Sklearn • Strong coding skills in Python or equivalent (Java, C++) • Solid understanding of engineering and infrastructure best practices • Experience with LLMs, LLM APIs (OpenAI, Bedrock, etc.), prompt engineering and evaluation • Curiosity to uncover promising solutions and persistence to carry ideas through to an end goal
• Fully remote work across Canada • Yelp's five star benefits
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