We may earn an affiliate commission when you visit our partners.

Machine Learning Professor

Save
April 29, 2024 3 minute read

Machine Learning Professors are responsible for teaching and conducting research in the field of machine learning. They develop and deliver courses, supervise students, and publish research papers. Machine Learning Professors typically have a PhD in computer science or a related field, and they must be able to effectively communicate complex technical concepts to students.

Day-to-Day Responsibilities

The day-to-day responsibilities of a Machine Learning Professor can vary depending on their specific role and institution. However, some common tasks include:

  • Teaching courses in machine learning and related topics
  • Supervising graduate students and postdoctoral researchers
  • Conducting research in machine learning
  • Publishing research papers in academic journals
  • Attending conferences and workshops
  • Serving on departmental and university committees

Machine Learning Professors typically work in a university or research institution. They may also work in industry, developing and applying machine learning algorithms to real-world problems.

Challenges

Machine Learning Professors face a number of challenges, including:

Share

Help others find this career page by sharing it with your friends and followers:

Salaries for Machine Learning Professor

City
Median
New York
$263,000
San Francisco
$250,000
Seattle
$191,000
See all salaries
City
Median
New York
$263,000
San Francisco
$250,000
Seattle
$191,000
Austin
$203,000
Toronto
$137,000
London
£95,000
Paris
€75,000
Berlin
€162,000
Tel Aviv
₪572,000
Singapore
S$250,000
Beijing
¥598,000
Shanghai
¥190,000
Bengalaru
₹3,160,000
Delhi
₹1,370,000
Bars indicate relevance. All salaries presented are estimates. Completion of this course does not guarantee or imply job placement or career outcomes.

Path to Machine Learning Professor

Take the first step.
We've curated one courses to help you on your path to Machine Learning Professor. Use these to develop your skills, build background knowledge, and put what you learn to practice.
Sorted from most relevant to least relevant:

Reading list

We haven't picked any books for this reading list yet.
Table of Contents
Our mission

OpenCourser helps millions of learners each year. People visit us to learn workspace skills, ace their exams, and nurture their curiosity.

Our extensive catalog contains over 50,000 courses and twice as many books. Browse by search, by topic, or even by career interests. We'll match you to the right resources quickly.

Find this site helpful? Tell a friend about us.

Affiliate disclosure

We're supported by our community of learners. When you purchase or subscribe to courses and programs or purchase books, we may earn a commission from our partners.

Your purchases help us maintain our catalog and keep our servers humming without ads.

Thank you for supporting OpenCourser.

© 2016 - 2025 OpenCourser