Junior Machine Learning Platform Engineer (Remote - Ireland)

The Junior Machine Learning Platform Engineer will be responsible for building and maintaining the core infrastructure that powers Yelp's machine learning models. You will be working closely with data scientists and machine learning engineers to operationalize their models and automate the deployment and monitoring of these models in production. Key responsibilities include: - Designing and building scalable, fault-tolerant, and cost-efficient data pipelines to feed production models - Automating the deployment and monitoring of machine learning models in production - Optimizing and improving the performance and reliability of Yelp's machine learning platform - Troubleshooting and resolving issues with ML models and infrastructure - Collaborating with cross-functional teams to understand and solve complex business problems Qualifications: - 2-4 years of experience building and maintaining distributed data and machine learning infrastructure - Strong programming skills in Python and familiarity with cloud-based data processing tools (e.g. Spark, Airflow, Kubernetes) - Familiarity with machine learning model deployment and monitoring best practices - Excellent problem-solving and troubleshooting skills - Strong communication and collaboration skills - Bachelor's or Master's degree in Computer Science, Statistics, or a related technical field

Yelp was founded in 2004 to help people find great local businesses. Since then, we've grown into a vibrant community of people helping people, with a focus on local. Every month, millions of consumers visit our site and mobile apps to find great places to eat, shop, drink, relax and play. Our engineering team builds and maintains the systems that power this community.