Eugene Yan • 11/8/2020

Applied / Research Scientist, ML Engineer: What’s the Difference?

Read Original

This article clarifies the distinct goals, skills, and deliverables of modern data science roles like Applied Scientist, Research Scientist, and Machine Learning Engineer. It discusses how the generic 'data scientist' role has specialized, explores industry rebranding trends (e.g., at Facebook and Lyft), and provides guidance for career transitions within the field.

0 comments
#Machine Learning #Data Science #Career
Applied / Research Scientist, ML Engineer: What’s the Difference?

Comments

No comments yet

Be the first to share your thoughts!

Browser Extension

Get instant access to AllDevBlogs from your browser

Top of the Week

1
The Beautiful Web
Jens Oliver Meiert • 2 votes
2
When your coding agent doesn’t understand your project, you’ll get junk
Benjamin Cane • 1 votes
3
LLM Use in the Python Source Code
Miguel Grinberg • 1 votes
4
Wagon’s algorithm in Python
John D. Cook • 1 votes
5
An example conversation with Claude Code
Dumm Zeuch • 1 votes