HOW TO GET THERE
Typical pathway
A common pathway into this career often includes post-secondary study in computer science, software engineering, data science, mathematics, or a related field. Students usually develop strong skills in programming, statistics, and problem-solving. Some people may gain experience through projects, internships, co-op, or entry-level technical roles before moving into machine learning work. Ongoing learning is important because tools and methods can change quickly in this field.
THE WORK
What you may do
- Prepare and clean data for analysis
- Build and test machine learning models
- Tune models to improve performance
- Work with data and software teams
- Review results and troubleshoot issues
- Document methods and findings
- Apply models to practical problems
A DAY IN THE LIFE
What a day can include
A machine learning engineer’s day may include checking data, writing code, and testing model results. They often meet with team members to understand what a system needs to do and to review performance changes. Part of the day may involve debugging errors, improving accuracy, and updating documentation. The work is usually computer-based and may require careful attention to detail, clear communication, and steady problem-solving.
SKILLS TO BUILD