Machine Learning Engineer: Career Path
Machine Learning is a top-growing skill. Good engineers are in-demand in a wide variety of industries and as a fast moving field, recent experience is valued and needed.
What does the Machine Learning Engineer career path entail?
Machine Learning Engineers combine the skills of AI Researchers with the ones of Software Engineers. The result of that is a data-inspired engineering role that's crucial to businesses today.
Even better – Machine Learning is a fast-moving field. Newcomers can pick up the basics quickly and position themselves with cutting-edge knowledge.
Machine Learning is set for another high-growth year. It's not too late to get into it!
The Machine Learning must-reads you shouldn't miss.
Key articles and posts of industry experts can help you get a better picture of what you are getting
In our opinion, these are some must-reads you really shouldn't miss.
Karpathy on "Software 2.0"
Andrej Karpathy is the Director of AI at Tesla. Before that, though, he authored this blog post in 2017 talking about Deep Learning as "Software 2.0" of some sort. A must-read if you ever want to have another way of thinking about ML.
Simple Reinforcement Learning with Tensorflow
This 8-part series by Arthur Juliani (Deep RL researcher at Unity) is an amazing entry point to the new and mysterious advancements of Reinforcement Learning, perfectly suited for folks coming from other topics in Machine Learning.
Building Safe A.I. (Trask)
Andrew Trask is a specialist in Federated Learning and Safe AI. In this blogpost, he writes about training a neural network that is fully encrypted during training (trained on unencrypted data).
Opportunities and projects in the Machine Learning
In the end, advancing your career is all about getting the right opportunities at the right time and
good portion of luck.
These are some interesting things going on in the Machine Learning space and you
probably don't want to miss them.
Specialize with Kaggle
It wouldn't be the first time I've seen someone get hired over good Kaggle results! Kaggle competitions are data science and ML projects that are graded through a public leaderboard. A good place on the leaderboard shows that you know your craft and can apply your knowledge to real-life problems!
Find early stage positions
While Google & co. are saturated with academic talent, there are incredible opportunities to get your foot in the door quicker with an early-stage positions.
Today, startups and early-stage businesses are looking for ML engineers more and more for a wider variety of jobs than what's possible in the more established industry.
Platforms like AngelList can help you find those positions!
Get into open-source
The world thrives on open-source software and this is no exception. Core contributors to core libraries and fast-growing tech like React, scikit-learn, Bitcoin and TensorFlow prove their abilities by going into the inner workings of a framework to improve it. For many companies, that's a desirable skill!
These projects are always looking for fresh faces. Grab an issue from the issue board or review a PR to get started!
Related career paths
Growing into a Senior Machine Learning Engineer role pays off –
$50,000 up to per year.
Not only is the progression from individual Machine Learning Engineer to a Senior role a natural
also makes all the difference in your average salary.
On a global average, Senior Machine Learning Engineer receive a
salary hike over entry-level Machine Learning Engineers when they go from individual contributor to
all Machine Learning mentors
If you like Machine Learning careers, you might also be
in these other career paths.
Get the help you need & advance your career
There's more than one way into Machine Learning, now you just need to decide which one to take! Our mentors are here for you if you encounter any issues, need a bit of accountability or some extra help!