What does a Machine Learning Engineer do?

A Machine Learning Engineer is a skilled professional who designs and implements machine learning applications and systems. This role combines aspects of data science and software engineering to create algorithms that enable machines to learn from and make decisions based on data.

Designing and Developing Machine Learning Models


Machine Learning Engineers are responsible for building and training machine learning models that solve specific problems or enhance the company's operations. This includes selecting appropriate data sets and data representation methods, as well as choosing the right algorithms and neural network architectures.

Model Testing and Validation


Once models are developed, Machine Learning Engineers rigorously test and validate them to ensure their accuracy and efficiency. They use various metrics and testing methods to refine the models, ensuring they perform well under different operational conditions and meet predefined objectives.

Integration and Deployment


A crucial part of a Machine Learning Engineer’s job is to integrate the developed models into existing production systems. This involves adapting models to work with production-level code and infrastructure, ensuring that they can operate smoothly at scale.

Collaboration with Cross-Functional Teams


Machine Learning Engineers frequently collaborate with other engineers, data scientists, and stakeholders throughout the model development process. They work closely with data engineers to ensure data quality and availability, and with software developers to integrate models into broader applications.

Staying Current with Industry Advances


The field of machine learning is rapidly evolving, making it essential for Machine Learning Engineers to continuously learn and adapt to new technologies and techniques. They must stay informed about the latest research and best practices to keep their skills relevant and their projects innovative.

Machine Learning Engineer: Main duties

Machine Learning Engineers in the Engineering field handle essential tasks and contribute significantly to achieving team and organizational goals. Here are some of their primary responsibilities:

  • Design and develop machine learning algorithms and predictive models to meet business needs.
  • Handle large datasets and perform data cleaning, preprocessing, and analysis.
  • Build, test, and continuously improve machine learning models based on performance metrics.
  • Deploy machine learning solutions into production and integrate them with existing systems.
  • Collaborate with data scientists, data engineers, and software developers on end-to-end solutions.
  • Stay up-to-date with the latest machine learning techniques and technologies.
  • Document all processes, models, and data analyses.

Machine Learning Engineer: Key Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or related field.
  • Experience with machine learning frameworks like TensorFlow or PyTorch and libraries like scikit-learn.
  • Proficiency in programming languages like Python, R, or Java.
  • Strong ability to analyze and visualize data to inform model adjustments and improvements.
  • Excellent communication skills to articulate technical details to non-technical stakeholders.
  • Creative and effective problem-solving skills to devise innovative machine learning strategies.

Basic Skills and Requirements for Machine Learning Engineers

  • Expert knowledge in advanced machine learning techniques and algorithm development.
  • Skills in managing projects from conception to deployment efficiently.
  • Ability to produce clear documentation for models and software.
  • Understanding of ethical issues and data privacy considerations in machine learning.
  • Commitment to continuous professional development in technology.

Salary Expectations for Machine Learning Engineers


Job Branch Avg. US Salary
Machine Learning Engineer Engineering 158,328 USD

The average salary for a Machine Learning Engineer in the U.S. is approximately $158,328 per year and can vary from entry-level to senior positions. Machine Learning Engineers may receive a wide range of benefits.

Level Experience Avg. Salary per Year
Veteran20+ years$197,910
Senior11+ years$174,161
Experienced6-10 years$158,328
Mid Level3-5 years$142,495
Entry Level0-2 years$118,746

To explore more detailed salary information, including specific salary estimates in your country, visit the Machine Learning Engineer Salary Country Overview.

Career Path for Machine Learning Engineers

Machine Learning Engineers can progress to senior roles, lead technical teams, or specialize in niche areas such as deep learning or natural language processing. Opportunities for advancement also include roles such as Chief Technology Officer (CTO) or Data Science Manager.

Machine Learning Engineer: Work Environment

Machine Learning Engineers typically work in an office or lab setting but may also work remotely. Their work often involves collaboration with teams across different time zones.

Cityjobs.info provides not only a detailed Machine Learning Engineer job description but also insights about salary data in different countries worldwide.


Explore more Careers & Salary Insights

Chemical Engineer

Explore the dynamic role of a Chemical Engineer, who innovates and improves chemical proce...

Job Description Salary Info

Civil Engineer

Design and oversee essential infrastructure as a Civil Engineer, ensuring projects meet al...

Job Description Salary Info

Electrical Engineer

Electrical Engineers design and maintain electrical systems, ensuring they meet safety sta...

Job Description Salary Info

Electro-Mechanical Technician

Step into the innovative world of an Electro-Mechanical Technician, where expertise in bot...

Job Description Salary Info

Electronics Technician

Dive into the technical world of an Electronics Technician, where precision and expertise ...

Job Description Salary Info

Explore Our Latest Blog Posts on Career Development and Personal Growth

Stay up to date with insightful articles on career advancement, personal growth strategies, and the latest trends in the job market. From expert tips on navigating your career path to practical advice on improving your work-life balance, cityjobs blog offers valuable resources to help you succeed both professionally and personally.

How can I stand out in modern Job Interviews?
  • Career

How can I stand out in modern Job Interviews?

Discover how to stand out in today’s job interviews with five key strategies focused on skills, real-world examples, and aligning with company values.

Remote Work in Portugal: What you need to know
  • Career

Remote Work in Portugal: What you need to know

Discover why Portugal is the ultimate destination for remote workers. Learn about tax benefits, visa requirements, top destinations, and more. Portugal is definitely a place to work at.