Career Information
There are a lot of responsibilities involved with machine learning (ML) engineering, this page will talk about the ML duties, the actual job description
Duties
There are many responsibilities involved with Machine Learning (ML) engineering. It includes designing, developing, and implementing machine learning systems. Engineers work with data to create models, perform statistical analysis, and train and retrain systems. The goal is to build efficient self-learning applications and advance AI. Key roles include:
- Collaborate with a team to set goals and objectives for AI systems.
- Develop prototype AI algorithms based on project requirements.
- Conduct tests to evaluate AI system performance.
- Analyze test data to identify strengths, weaknesses, and areas for improvement.
- Update algorithms to enhance overall AI performance.
- Troubleshoot and resolve issues in deployed AI systems to improve user experience.
Salary
In the U.S., salaries for ML engineers can range from $80,000 to $300,000, with an average around $175,000, depending on experience, location, and company.
Location / Work Environment
ML engineers can work in-person, remotely, or in a hybrid setup. Many jobs involve a combination of these options depending on the company and project requirements.