Commit is hiring a
Senior Machine Learning Engineer in United States, Canada

Summary

The job is for a Machine Learning Engineer who will design and implement machine learning applications, develop custom data models, use predictive modeling, coordinate with teams, and monitor model performance. A Master's degree or PhD in Computer Science, Mathematics, Statistics, or related field is required, along with strong problem-solving skills, experience using statistical computer languages, experience working with data architectures, and knowledge of various machine learning techniques.

Requirements

• Master’s degree or PhD in Computer Science, Mathematics, Statistics, or related field
• Strong problem-solving skills with an emphasis on product development
• Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets
• Experience working with and creating data architectures
• Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks

Responsibilities

• Design and implement machine learning applications and systems
• Develop custom data models and algorithms to apply to data sets
• Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting, and other business outcomes
• Coordinate with different functional teams to implement models and monitor outcomes
• Develop processes and tools to monitor and analyze model performance and data accuracy