Don’t Be An ML/AI Engineer If You’re Like This...

Considering a career in AI or Machine Learning Engineering? In this candid discussion, let’s break down the crucial aspects you need to consider before diving into the world of Software engineering, especially ML or AI engineering. From the misconceptions about the software engineering field to the intense competition in artificial intelligence and machine learning and rapid changes, let’s talk about what it takes to thrive as a Machine Learning or AI engineer. 🚀
#AIEngineer #MLEngineer #MachineLearningEngineer #SoftwareEngineering

📎 Resources:
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✅ Find Links to Machine Learning/AI Research in the "Resource" section
✅ FREE Study Plan to Learn AI/ML Engineering FAST with ChatGPT
✅ The Ultimate Resume Handbook
✅ Interview Prep Resources
✅ FREE ATS-Friendly Resume Template

🎙️Other videos you might be interested in
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👉How to Become an AI Engineer (Without a Degree)
👉Learn AI/ML engineering FAST with ChatGPT
👉AI/ML Engineer path - The Harsh Truth

🖥️ My SETUP
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📣✨Connect with me
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I give advice for navigating your engineering career journey successfully.
⭐️About me
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Hi, I'm Jean, Founder of Exaltitude. I've been working in tech for the past 15 years as an engineer, an engineering manager, and a team builder. I was the 19th engineer at WhatsApp and worked with Facebook as an Engineering Manager for six years after the $19B acquisition. I'm excited to share the ins and outs of a Software Engineering career based on my experience as a hiring manager for top tech companies.

Credits
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🖼️ All images, graphics, and b-roll videos used in this video were sourced from Canva.

🎵Music:
Piano Store by Jimmy Fontanez
Tropic Fuse by French Fuse
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Timestamp
0:00 Preview
0:18 Intro
1:26 Common advice
3:18 AI is really hard
4:22 Fierce competition
5:13 Burnout
5:58 Rapid change
7:00 Quick recap
7:16 The most important challenge
8:54 Reward of AI engineering

[exaltitude]

📌 FREE resources to Machine Learning/AI Research in the "Resource" section

[yashsharma]

I like the last word of this video. The most amazing reward of being an AI engineer is becoming a part of such a revolutionary technology.

[donesitackacom]

If you're able to land SWE gigs, join a company that does AI as a SWE and do a lateral into MLE and eventually research. It's what I did. This is the path with the least friction since junior roles are non-existent.

Even then it's extremely competitive. Prior to joining the company as a SWE I already did hobbyist ML research during college for about 2 years. Reading papers, implementing experiments from these papers, building things from scratch to feel how they work, etc...

Definitely not for anyone who hates math, and I'm not talking about the kind of math you may need for SWE or the basic linear algebra you may need for graphics programming, if you want to understand these papers it's much more than that.

[pacman]

Been doing PhD in medical image analysis using Deep Learning for a few years now. Yes, there is NO SHORTCUT to being good in AI. There’s tons of codes for Deep Learning model implementation, but for the one who’s not graduating from CS or Applied Math, the fundamental stuff for AI will stop you from understanding the core of AI. If you’re good in linear algebra, vector calculus, and Bayes statistics, then that’s a good start for you.

[alexandresoaresdasilva]

These tips were all awesome. There's an additional source of stress when working with ML/AI: you're handling probabilistic systems, and tail failure cases are difficult to predict even with a good evaluation pipeline and metrics. This uncertainty can bring a lot of stress when running ML/AI systems. Make sure you understand and accept that your system will fail for weird (or unexplainable) reasons, every now and then.

[i_youtube_]

If you are beginner, you will need to spend 4 hours daily for 3 years at minimum to get your first machine learning job. It's very hard to get job in this space without real world experience. You will need to work on advanced projects to attract employers without years of experience. You might get hired to work with ML engineers but you will not work as ML engineer, maybe something like data analysis or writing SQL etc.

[danny.golcman]

Good video, I know getting into AI is really hard but I am really interested in this field so I will do my best to get into the AI field. Right now I'm doing my undergraduate degree in computer science and then eventually I want to get my masters in AI and machine learning. It will not be an easy journey but I know that it will be worth it in the end, wish me luck...

[tushardharia]

As a Junior with just 1 YoE as SDE i finally cracked as a ML Engineer after 3 months of painful job hunt. My advice would be find startups as they won't require much prior experience and very easy to get an Interview call with them. That's the key getting a call and being on the table, and being able show case your skills.

[prodbyryshy]

i got into programming because i liked math. i work on deep learning projects as a phd student. if i stay in ML or not, its fine, i like statistics in general

[circle]

Sometimes reading papers about AI is pretty bizarre, you may come across an information but couldn't comprehend it. You just have to start with the fundamentals, step by step, don't hop into reading papers without any preparations. Just like XY problem

[DJPapzin]

🎯 Key Takeaways for quick navigation:

00:00 🎯 *Should You Be an AI/ML Engineer?*
- Considerations before pursuing a career in AI/ML engineering.
01:20 🧮 *Math and Money in Software Engineering*
- Discusses the role of math in software engineering and the importance of financial stability.
03:05 💡 *AI Is Really Hard*
- Emphasizes the difficulty of AI engineering and the need to read research papers.
04:47 💼 *Fierce Competition*
- Highlights the competitiveness in the AI field and the challenges it brings.
05:15 ⏰ *Burnout and Work-Life Balance*
- Discusses the trade-off between high-paying jobs and work-life balance.
06:09 🔄 *Rapid Changes in AI*
- Describes the constant evolution and rapid changes in the AI field.
07:27 🚀 *Lack of Junior Roles*
- Addresses the scarcity of junior roles in AI engineering and the challenges of job hunting.
08:50 💰 *The Reward of Success*
- Highlights the potential rewards and opportunities in AI engineering for those who succeed.

Made with HARPA AI

[LukeDickerson]

2:58 "money doesnt grow on trees" you're so right ... lol it grows at the FED!

[lucynowacki]

Linear algebra, probability, Bayes, and calculus are a must. However, realistically, at least functional analysis at the Kreyszig level, and measure theory at the Capinski level. It is a bare minimum. Besides, instead of chasing a rabbit, the better option is to create your own AI app/solution.

[A.K_]

I've got this Deep Learning Course in the University and yeah I agree you will need a lot of hard work for learning math and all these concepts of AI and also implementing these to really understand. And it's definitely not possible with only a course. it needs at least one year to really learn and understand all of these concepts. At the End as a student you'll find out that it's better first to find a job in any other areas of computer science with maybe less effort and then just learn what you want and shift to another job if you can!

[Portfelio]

I think another point is:
*working to your strengths.*

I was in a PharmD and some of the students could pass classes and work with patients but talking to them, they just didn't get it at a fundamental level. Even some of the doctors I shadowed. I'd ask them about demographics impacting med doses, different clearance methods, etc. Nothing.

[arcansawed]

AI can actually read all the research papers for you.

As well as do most of the things in your list for you.

So… I dunno. Maybe this was good advice before AI.

[kimchi_taco]

I did physics, OS programming and graphics programming. Now I'm doing core ML. It's 10 times more demanding and competitive.

[ITZRIEN]

Hey im 15 and soon will be choosing streams for my career, i planned that i will go for Artificial intelligence in future since they are in demand, pays well and i want a stable career, this video helped me and i still wish to go in this field :)

[UniversalVibe-vv]

Nothing is impossible if you are interested and you want to sacrifice and if they can then why not me?😌

[Tusharvijaypadir]

I have done a favour for you big sis its a like and a sub, now you need to do a favour for me by making a vid about software engineer