At ZipRecruiter, where a universe of data, brimming with over a billion archived job postings, tens of millions of dynamic job seekers, and countless impression and click events, there’s plenty of opportunities for innovation. Here, your experience will be put to work crafting new, data-driven features that impact the lives of millions, connecting them to their dream jobs.
We’re tackling exciting challenges: imagine developing a system that can predict salaries for new job postings, using a training set of job postings and known salaries. But the fun doesn’t stop at model-building. Our work involves an immersive dive into data – gathering, cleaning, analyzing, and extracting meaningful insights.
Key Focuses:
Design, develop, and maintain machine learning models and algorithms to solve complex business problems
Identify patterns, trends, and anomalies in the data, and visualize insights using appropriate tools
Perform data cleaning, preprocessing, and feature engineering to prepare datasets for model development
Assess the performance of machine learning models using appropriate metrics, validation techniques, and testing datasets
Optimize models by fine-tuning hyperparameters, feature selection, or employing regularization techniques to improve accuracy, performance, and scalability
Phil, your career advisor will help you find the right job opening from companies hiring in the US. Find job postings near you & 1-click apply to get hired.
