Machine Learning Engineer

Build and deploy machine learning models to production environments

Machine Learning Engineers use predictive modeling and artificial intelligence to build new products and services. Strong programming skills are critical, most commonly in languages such as Python, C, and Java, which is why many come from backgrounds in Computer Science and Engineering. Unlike Machine Learning Researchers, Machine Learning Engineers are expected to deploy their models to live, production environments. This requires them to work closely with Data Engineers, using distributed systems such as Spark, Hadoop, and Amazon EC2, to process massive amounts of Big Data, and reach a high volume of active users.

Below we have analyzed the 3,324 most recent job listings for Machine Learning Engineers from Indeed, Monster, ZipRecruiter, GlassDoor, LinkedIn, and other job sites to find out what real-world employers are looking for.

Salary

Expected income for Machine Learning Engineers

The lowest salary we found for Machine Learning Engineers among current job listings is \$33,850.00 per year. The highest is \$600,000.00. Most jobs for Machine Learning Engineers pay around \$92,154.69 per year, with a median annual income of \$115,000.00, and an average annual income of \$122,072.52.

Location

Where Machine Learning Engineers can find jobs

We have mapped all job listings for Machine Learning Engineers according to their approximate locations:

The 10 cities with the highest number of jobs for Machine Learning Engineers are:

Education

Desired education level for Machine Learning Engineers

Here are the relative frequencies of education level required in job listings for Machine Learning Engineers:

BACHELOR'S DEGREE (BS/BA)
MASTER'S DEGREE (MS/MA)
DOCTORATE (PhD)

Major

Preferred majors for Machine Learning Engineers

Here are the relative frequencies of the most common majors requested in job listings for Machine Learning Engineers:

Computer Science
Engineering
Mathematics
Statistics
Physics
Information Technology

Experience

Required experience for Machine Learning Engineers

Most jobs for Machine Learning Engineers require 2 years of experience, with a median of 3 years, and an average of 3.73 years.

Skills

Required skills for Machine Learning Engineers

Here are the relative frequencies of the most common skills required in job listings for Machine Learning Engineers:

Machine Learning
Programming
Data Analysis
Big Data
Statistics
Data Reporting
Data Science
Deep Learning
Data Structures
Mathematics

Languages

Top programming languages for Machine Learning Engineers

Here are the relative frequencies of the most common programming languages mentioned in job listings for Machine Learning Engineers:

Python
C
Java
R
Go
MATLAB
JavaScript
Scala

Python Libraries

Top Python Libraries for Machine Learning Engineers

Here are the relative frequencies of the most common Python libraries mentioned in job listings for Machine Learning Engineers:

TensorFlow
PyTorch
Scikit-learn
Keras
NumPy
Pandas
SciPy
NLTK
Matplotlib
SpaCy
PySpark
Gensim
Statsmodels

Databases

Top databases for Machine Learning Engineers

Here are the relative frequencies of the most common databases mentioned in job listings for Machine Learning Engineers:

NoSQL
MySQL
MongoDB
Oracle
PostgreSQL

Distributed Systems

Top distributed systems for Machine Learning Engineers

Here are the relative frequencies of the most common distributed systems mentioned in job listings for Machine Learning Engineers:

Apache Spark
Amazon EC2
Apache Hadoop
Apache Hive
Apache Kafka
Apache HBase

Learning Models

Top machine learning models for Machine Learning Engineers

Here are the relative frequencies of the most common machine learning models mentioned in job listings for Machine Learning Engineers:

Neural Networks
Natural Language Processing
Linear & Logistic Regression
Random Forests
Support Vector Machines
Decision Trees
Boosting

Advance

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