Senior Machine Learning Engineer – Content and Contributor Intelligence

🔥 14 hours ago

🇨🇦 Canada – Remote

💵 $135k - $185k / year

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

👻 Ghost score 0%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Yelp

WebsiteLinkedInAll Job Openings

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.

📋 Description

• 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

🎯 Requirements

• 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

🏖️ Benefits

• Fully remote work across Canada • Yelp's five star benefits