Launch your machine learning career with MIT

Discover five machine learning jobs and the MIT Open Learning programs and resources that will help kickstart your career.

By Katherine Ouellette

Machine learning is one of the top three fastest-growing career fields with 86% of global organizations turning to this technology to transform businesses, according to the World Economic Forum. After building core machine learning skills, equip yourself with the knowledge for these five jobs with online courses and resources on MIT Learn, home to thousands of educational materials from MIT Open Learning.

Machine learning engineer

Machine learning engineers design, train, and deploy models that learn from data to solve real-world problems and integrate intelligent decision-making into products.

Fields

• E-commerce
• Finance
• Healthcare
• Technology

Courses

• Computational Methods of Scientific Programming
• Data Analysis: Statistical Modeling and Computations in Applications
• Introduction to Machine Learning
• Machine Learning with Python: From Linear Models to Deep Learning
• Matrix Calculus for Machine Learning and Beyond
• Mathematics of Machine Learning
• Machine Learning for Healthcare
• Machine Learning, Modeling, and Simulation Principles
• Applying Machine Learning to Engineering and Science
• Designing and Building AI Products and Services
• FinTech: Shaping the Financial World

Reinforcement learning engineer

Reinforcement learning engineers build and train agents that learn to make decisions through trial and error to maximize long-term rewards in dynamic environments.

Fields

• Autonomous vehicles
• Gaming
• Logistics
• Robotics

Courses

• Computational Methods of Scientific Programming
• Mathematics of Big Data and Machine Learning
• Principles of Autonomy and Decision Making
• Machine Learning, Modeling, and Simulation Principles
• Machine Learning with Python: From Linear Models to Deep Learning
• Learning Time Series with Intervention
• Applying Machine Learning to Engineering and Science
• Deploying AI for Strategic Impact
• Machine Learning for Healthcare
• Machine Vision
• Advances in Computer Vision
• Robotic Manipulation
• Cognitive Robotics
• Underactuated Robotics
• Visual Navigation for Autonomous Vehicles
• Supply Chain Management: Leading with AI and Digital Transformation

AI model optimization engineer

AI model optimization engineers improve model efficiency by reducing size, latency, and power consumption for deployment on various hardware platforms.