How to become a Machine Learning Engineer
To work as a machine learning engineer, you need a bachelor's degree in Computer Science, Mathematics or similar fields. Some positions require Master's degree or Ph.D. depending on the requirements. You need knowledge of data science and software development including data structures, data modeling and software architecture. The role requires proficiency in mathematics, statistics, probability and algorithms.
Machine learning engineers must be able to code in Java, Python, C++ and Ruby. The job involves working in a team and requires exceptional analytical and problem-solving skills. You must have experience with machine learning frameworks and libraries and not be afraid to fail.
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Typical qualifications for a Machine Learning Engineer
Skills employers are looking for
About Machine learning
Knowledge of or experience with machine learning. Machine learning may incorporate algorithm development, training algorithms with sample sets, or using machine learning results for data analysis.
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About AI
Experience with artificial intelligence, or the use of machines which can learn and adapt as they perform computing tasks.
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About SQL
Programming language used for interacting with data held in a relational database.
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About Natural language processing
Experience with Natural Language Processing, a process that focuses on interaction between computers and human languages.
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About Python
An interpreted, open-source programming language.
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Machine Learning Engineer jobs in United States
Career progression for Machine Learning Engineer
Education levels for Machine Learning Engineers
| required level of education | percent of job openings |
|---|---|
| Bachelor's degree | 2.0% |
| Master's degree | 1.0% |
| Doctoral degree | 0.0% |
Expected salary by experience
| Years of experience | Annual salary in USD |
|---|---|
| 0 - 4 | $117,700 |
| 4 - 8 | $121,600 |
| 8 - 12 | $130,100 |
| 12 - 16 | $136,100 |
| 16 - 20 | $138,700 |
| 20 - 24 | $139,800 |
Common questions about career advices for a Machine Learning Engineer
What skills are needed for machine learning engineers?
To excel in their role, machine learning engineers must understand the fundamentals of computer science and programming including the use of Python, Java, R and C++. They need to be proficient in probability, statistics, data modeling and evaluation, deep learning, machine learning algorithms, software engineering and system design. The job requires excellent communication skills, the ability to work as a team and strong analytical knowledge.
Is machine learning engineer a good career?
Machine learning is relatively new and is part of data science. Judging by the lucrative salaries data science jobs attract and the opportunity to work with innovative technology that will shape the future, a career in machine learning is interesting and fulfilling.
Which language is better for machine learning?
The most popular programming language in machine learning is Python. However, machine learning engineers also use C++, Java, C#, R and JavaScript. The coding language depends on the project requirements.
