Entry Level Machine Learning Engineer

🔥 0 minutes ago

🇨🇦 Canada – Remote

💵 $85k - $107k / year

⏰ Full Time

⚪️ Entry-level

🤖 Machine Learning Engineer

🚫👨‍🎓 No degree required

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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

• Build machine learning systems end-to-end, turning raw data into valuable signals • Develop data pipelines and train machine learning models • Deploy machine learning models in production • Deploy generative AI applications • Work on challenges including ad personalization, search ranking, Voice AI, AI chatbots, advertiser retention and churn prevention, data-driven storytelling, clickstream analytics, content type classification, personalized business recommendations, and bot detection • Collaborate with software engineers, applied scientists, and product managers to identify and use relevant consumer and business data • Balance scale, latency, cost, and availability based on the problem

🎯 Requirements

• Experience developing and productionizing machine learning models, including their supported data pipeline • Experience with machine learning packages such as TensorFlow, PyTorch, Spark MLlib, XGBoost, and Sklearn • Strong coding skills in Python or equivalent, including Python, Java, or C++ • Familiarity with LLM models such as Anthropic, OpenAI, and Google Gemini • Familiarity with agentic design, such as LangGraph • Passion for architecting large systems with scalable interfaces • Understanding of data pipelines for training and deploying machine learning models, and/or ETL pipelines for metrics, analytics, or product features • Exposure to technologies including Apache Spark, AWS Redshift, AWS S3, Cassandra and other NoSQL systems, AWS Athena, Apache Kafka, Apache Flink, Java, AWS, and service-oriented architecture

🏖️ Benefits

• Fully remote work option across Canada • Yelp's five star benefits (details not provided in posting) • Equal opportunity employer • Reasonable accommodations for individuals with disabilities in the job application process