Salaries of Top 10 Machine Learning Professionals

Machine learning (ML) is a field of computer science that gives computers the ability to learn without being explicitly programmed. ML algorithms are used in a wide variety of applications, from product recommendation systems to self-driving cars.

As the demand for ML skills continues to grow, so too do the salaries for ML professionals. According to Indeed, the average salary for a machine learning engineer in the United States is $128,500 per year.

In this video, we will look at the top 10 machine learning professional’s salaries in the recent time.

Salaries Top 10 Machine Learning Professional on YouTube

Here is a list of the top 10 machine learning job rolea and their salaries based on data from Indeed:

1. Machine Learning Engineer: A machine learning engineer is responsible for designing, building, and deploying machine learning models. They work closely with data scientists and software engineers to develop and implement ML solutions for real-world problems.
   1. Machine Learning Engineer: $128,500 per year
2. Data Scientist: A data scientist is responsible for collecting, cleaning, and analysing data to extract insights. They use ML algorithms to build models that can be used to make predictions or decisions.
   1. Data Scientist: $122,000 per year
3. Research Scientist: A research scientist is responsible for conducting research on new ML algorithms and techniques. They often publish their work in academic journals and conferences.
   1. Research Scientist: $118,000 per year
4. Software Engineer: A software engineer is responsible for developing and maintaining software applications. They may use ML algorithms to improve the performance or functionality of their applications.
   1. Software Engineer: $115,000 per year
5. Artificial Intelligence Engineer: An artificial intelligence engineer is responsible for developing and implementing AI systems. They work on a wide range of AI projects, from chatbots to self-driving cars.
   1. Artificial Intelligence Engineer: $114,000 per year
6. Natural Language Processing Engineer: A natural language processing engineer is responsible for developing and implementing ML models that can understand and process human language. They work on a wide range of NLP projects, from machine translation to text summarization.
   1. Natural Language Processing Engineer: $113,000 per year
7. Computer Vision Engineer: A computer vision engineer is responsible for developing and implementing ML models that can understand and process images and videos. They work on a wide range of CV projects, from image classification to object detection.
   1. Computer Vision Engineer: $112,000 per year
8. Machine Learning Architect: A machine learning architect is responsible for designing and overseeing the development of ML systems. They work with other engineers to develop ML solutions that meet the specific needs of their organization.
   1. Machine Learning Architect: $111,000 per year
9. Machine Learning Scientist: A machine learning scientist is responsible for developing and applying ML algorithms to solve real-world problems. They often work in research and development, but they may also work in industry to develop ML solutions for specific products or services.
   1. Machine Learning Scientist: $110,000 per year
10. Machine Learning Manager: A machine learning manager is responsible for leading and managing a team of ML engineers and data scientists. They work with other stakeholders to define the vision and goals for ML projects, and they ensure that projects are completed on time and within budget.
    1. Machine Learning Manager: $109,000 per year