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What does a Machine Learning Engineer do?
Machine learning engineers work in the artificial intelligence industry. They collaborate with data scientists, computer engineers and developers to create programs that allow machines to function without direct human assistance. The machine learning engineer creates models that ensure ML programs work according to requirements. They must be proficient in data science, statistics and software engineering. ML engineers create AI algorithms for social media, online stores, Internet of Things (IoT) products and self-driving cars among others.
Working as a Machine Learning Engineer
A Machine Learning Engineer's work depends on the product, the employer and the project including:
- Design, build and maintain machine learning systems
- Study, research and transform data science models into machine learning algorithms and tools
- Develop machine learning applications to user requirements and company specifications
- Perform machine learning tests and experiments to ensure data models translate to real-life functionalities
- Train and retrain machine learning and deep learning systems for improved performance
How much does a Machine Learning Engineer make in the United States?
Average base salary
1.5k salaries reported, updated at Jun 29, 2020
$140,588
per year
The average salary for a machine learning engineer is $140,588 per year in the United States.
Most common benefits
- Commuter assistance
- Stock options
- Gym membership
- 401(k) matching
- Food provided
Frequently asked questions
Common questions about being a Machine Learning Engineer
