What does a Machine Learning Engineer Intern do?
Machine learning engineers are the designers of self-running software that brings machines the ability to automate models that are predictive. They work with data scientists to take information and feed curated data into the models that they've uncovered or discovered. They use theoretical models within the data science sphere and build them out to scale as functioning and productive units or models that handle terabytes of real-time data.
Machine learning engineers also function as a bridge or intersection for software engineering and data science. They use the available big data tools to improve programming frameworks and to gather raw data from pipelines. They redefine raw data into data science models that are ready to scale. Some machine learning engineers design the software programs that control technological tools, including computers or robots. They can develop algorithms that allow machines to identify trends or patterns in their programming data and as a self-contained unit, and a machine can then teach itself to understand commands, or even to think for itself. Machine learning engineers need a minimum of a bachelor’s degree in computer science or related fields.
Machine Learning Engineer Intern Salaries
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Machine Learning Engineer Intern Career Path
Learn how to become a Machine Learning Engineer Intern, what skills and education you need to succeed, and what level of pay to expect at each step on your career path.
Machine Learning Engineer Intern Insights
“I was given great resources to learn and buildup my skills and create projects that would help me apply my skills”
“I was fortunate enough to work at a project where you get a great exposure and learning experience”
“Little / none salary raise and absolutely in the dark what it takes for that to happen.”
“3. One of the best engineering processes that integrates several cutting edge software development tools and best practices.”
“You will find better internships and job opportunities from people that will actually teach you and not exploit your effort.”
“Currently growing a decent amount which can be good or bad depending on what you're looking for.”
“The work life balance couldn't be better (this might though be because of German employer laws).”
“Bad compensation: accounting for inflation I am at the same level I started in 2019.”
Machine Learning Engineer Intern Interviews
Machine Learning Engineer Intern jobs
Frequently asked questions about the role and responsibilities of a machine learning engineer intern
When working as a machine learning engineer intern, the most common skills you will need to perform your job and for career success are Machine Learning, Deep Learning, Natural Language Processing, Tensorflow and Algorithms.
- Software Engineer
- Software Developer
- Java Developer
- Full Stack Engineer
The most common qualifications to become a machine learning engineer intern is a minimum of a Bachelor's Degree and an average of 0 - 1 of experience not including years spent in education and/or training.