Become a Machine Learning Engineer

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.

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Why should you become a
Machine Learning Engineer?

Machine Learning Engineer

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!

Best books to build Machine Learning understanding.

A well-written and thorough book can be an amazing path to build deeper understanding and also act as a handbook as you discover the internet's vast resources.

These are our and our experts top picks to get started building career-relevant skills.

Introduction to Statistical learning

Introduction to Statistical learning

ISL is a fundamental book and popular amongst undergrad and grad students for its clarity and simplicity with explaining concepts. The math required to understand the book is kept to a minimum, making it unique in its format.

Pattern Recognition and Machine Learning

Pattern Recognition and Machine Learning

Bishop's book on pattern recognition is a classic textbook and staple in Machine Learning. Beimg aimed at grad students, but also at researchers and practitioners, it's no easy lecture, but a truly fundamental course book.

Hands-on Machine Learning with Scikit-Learn, Keras and Tensorflow

Hands-on Machine Learning with Scikit-Learn, Keras and Tensorflow

The hands-on Machine Learning book is an amazing piece by Aurélien Géron, taking you from the basics of Machine Learning to applying them to real-word scenarios all in one book.

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Courses to deepen your Machine Learning skills.

These days, courses are no longer a sequence of videos. They are usually accompanied by projects and a learning community, keeping you accountable and on the path.

Our experts recommend these courses, from free selections to paid programs.

Udacity's Machine Learning Nanodegree

Udacity's Machine Learning Nanodegree

Udacity has been a pioneer of Machine Learning courses since launching their wide range of ML, Data Science and Robotics courses a few years back. These Nanodegrees are pricey but often come with career support and human project grading.

With the motto "making neural nets uncool again", is a straight-to-the-point practical (and free!) course that is valued by Machine Learning enthusiasts and engineers worldwide. comes with a community, many practical projects and great content.

Machine Learning A-Z™

Machine Learning A-Z™

Kirill Eremenko's course on Udemy is a classic with almost a million (!) students worldwide. A-Z takes you from a bit of coding knowledge to making your own predictions and building ML models pretty swiftly. At prices between $10 - $20 it's also cheaper than many alternatives.

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Get the guidance you need with a
Machine Learning mentor

There is no better source of accountability and motivation than having a personal mentor. What used to be impossible to find is now just two clicks away! All mentors are vetted & hands-on!

3 spots available

Tracy Pham  Quick Responder

NLP/ML Engineer - .
5.0 stars
5.0 (2 reviews)
💻 Personal Chat 📝 To-Dos 🛎 Hands-On Support

Majoring in Natural Language Processing and Deep Learning, I have worked with multiple transformer-based models (such as BERT, GPT-2) for Text Processing and Text Generation, and using Distillation methods to transfer the knowledge to a much simpler model like LSTM, to deploy as an AWS Lambda service.

I have been a Teaching Assistant in Deep Learning class of a non-profit organization as well as mentored intern students in my company. And I find myself loving to help people with their first steps in the "ML journey".

Engineering & Data NLPHugging FaceBERTGPT-2
7 Day Trial Singapore Singapore

$100 per month

 What can I expect from this mentor?  Apply for Mentorship  Book a Call

Kalle Bylin 

AI Engineer & Co-Founder - Panda Lab
5.0 stars
5.0 (4 reviews)
💻 Personal Chat 📝 To-Dos

Founder of the Data Science & AI Lab Meetup in Bogotá, Colombia, with over 1500 members and Co-Founder of Panda Lab offering Data Science and ML services. I have worked on multiple AI projects related mostly to predictive modeling and computer vision designing deep networks to solve tough business problems for insurance, retail and construction companies.

I can also offer mentoring in Spanish if needed :)

Engineering & Data Artificial IntelligenceMachine LearningDeep LearningComputer visionPython
7 Day Trial Sweden Sweden

$100 per month

 What can I expect from this mentor?  Put on Watchlist Visit Profile

Nilesh Arnaiya  Experienced Mentor Quick Responder

Data science & ML mentor - Genuin Inc & Buildawn
4.3 stars
4.3 (43 reviews)
💻 Personal Chat 📝 To-Dos 🏆 Projects & Challenges 📞 1-on-1 Calls  (10x/mo) 🛎 Hands-On Support

Greetings, I'm Nilesh Arnaiya. Data Scientist at Genuin Inc and also a Former Mentor at Udacity & working at Buildawn AI.
Growing up I had a really good mentor with me, motivating me to read research papers and replicate the studies, do quality projects with large datasets, having high ambitions and goals that are defined by a process. I understand the importance of having a mentor and what it means now that you've taken your first step.
I've trained and helped many developers to learn and grow and be better ...

Engineering & Data JavaPythonResearchJavascript
7 Day Trial India India

$150 per month

 What can I expect from this mentor?  Put on Watchlist Book a Call

1 spot available

Alisher Abdulkhaev  Quick Responder

Machine Learning Engineer - Browzzin
5.0 stars
5.0 (3 reviews)
💻 Personal Chat 📝 To-Dos 🏆 Projects & Challenges 📞 1-on-1 Calls  (2x/mo) 🛎 Hands-On Support

I am a Machine Learning Engineer with 5 years of experience. Mainly working on Computer Vision tasks using Deep Learning algorithms (Deep Convolutional Neural Network). I can help you with your AI projects as well as to plan your career ranging from “which topics to study” to “which company to work at”, etc.

Engineering & Data Convolutional Neural NetworksComputer VisionMachine LearningDeep LearningArtificial Intelligence
7 Day Trial Japan Japan

$199 per month

 What can I expect from this mentor?  Apply for Mentorship  Book a Call

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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 into.

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.

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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.

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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).

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Opportunities and projects in the Machine Learning space.

In the end, advancing your career is all about getting the right opportunities at the right time and a 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!

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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!

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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!

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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!