Senior Machine Learning Engineering Manager

TL;DR

Senior Machine Learning Engineering Manager (AI Engineering): Leading the development and optimization of advanced machine learning algorithms with an accent on managing the end-to-end ML lifecycle and team leadership. Focus on designing high-performance ML solutions, mentoring engineers, and fostering innovation within the team.

Location: Chicago, IL, United States

Salary: $225,000–275,000

Company

A leading technology company focused on innovation and advanced machine learning solutions.

What you will do

• Manage the full machine learning lifecycle from development to deployment.
• Evaluate and optimize machine learning algorithms and frameworks for performance and accuracy.
• Mentor and support team members in best practices, code quality, and documentation.
• Hire, onboard, and retain top talent while fostering a culture of innovation and collaboration.
• Collaborate with leadership to define and execute ML strategy and vision.

Requirements

• Location: Must be based in Chicago, IL, United States
• Master's degree or higher in Computer Science, Engineering, Mathematics, Statistics, or related field.
• Minimum 5 years of hands-on ML engineering experience with at least 2 years in leadership.
• Proficiency in Python, R, or Scala and ML libraries like TensorFlow, PyTorch, scikit-learn.
• Experience with cloud platforms (AWS, Azure, Google Cloud) and distributed computing (Apache Spark).
• Strong leadership, communication, and interpersonal skills.