Hey there, it's Jean, founder of Exaltitude! As a former software engineer and engineering manager at WhatsApp & Facebook, I know firsthand how tough it can be to navigate the tech industry and advance your career. That's why I created Exaltitude to share the advice I wish I had earlier in my career.
Think of Exaltitude as your personal guide to career success. We'll cover everything from crafting the perfect resume and acing job interviews to negotiating salaries and building your personal brand. But we won't just give you a bunch of dry advice - we'll spice things up with real-world examples and candid conversations.
Checkout Exaltitude - www.exaltitude.io Follow Jean on LinkedIn - www.linkedin.com/in/jeanklee/ Follow EXA on LinkedIn - www.linkedin.com/company/73799118/
Or be like me: Physics BS, MS, Phd. Then do research in physics and engineering for 10 years. Drop out of the academia. Join a startup. Switch to ML Eng for physics and biology. Life's a wild ride.
Well if AI is to replace software engineers, who will need to create/design/engineer the AI? Other AI? Sounds dangerous and very unlikely seems like for the next few decades tech jobs will only be much more available considering that technology is becoming an increasingly crucial part of daily life.
When you see how often poi t of sale system glitch, Car UX system glitch, games glitch, and everything, you can be assured that humans will still be needed. We had to do cash only at my restaurant job again. So if Ai modele havent replaced fast food workers than how powerful are they, really? Mcdonalds hasnt even successfully automated order taking. Im not saying it wont happen, but our current AI tech has awhile to go before we get Data from Star Trek, NS5 robots from Asimov, Terminators from Cyberdyne, and the like.
AI-Engineer? Do you mean Prompt-Engineer? People do not understand that ML/DL base models are a game for the big guys. Financially, politically, data and staff-wise. Furthermore, AI, is not THE AI, it's actually ML/DL since ~1960y. There is not a shred of intelligence but a huge amount of organized, normalized and categorized data which is run through a gigantic “filter” and tokenized. It's an enormous templateting engine in the abstract. Yes, it works to some extent and will undoubtedly affect how we live and work. I don't agree with Andrew Ng, at least not entirely. Why? Because even when it comes to software engineering, you don't just learn it from reading books. It's the opposite. I've been in Robotics and ML for years, and my advice would be to stop reading and start doing. Apply the knowledge you have gained. Have fun with it and it will come to you naturally. Math is not an issue; however, you need to understand what is going on. The actual math is done by libs like pynum, scikit, hugging face, tensorflow and beyond. But yes, if you want to play with the big guys, then a Ph.D. is highly recommended, and it still will be very challenging. Whatever you do, stop talking about it and get crafty!
AI cannot 'take' technical jobs. Why? Because the AI can only learn so much and execute so many instructions. When the AI breaks, who will be there to fix it?
You two are women. You were hired thanks of DEI. Your advice does not generalize well to men. Your understanding of life is overfitted to the single datapoint that is you. PHDs are bad. Schools are behind the curve when it comes to Machine Learning.
gee i wonder how she got a job ai engineering with a phd daa. like your hair! i think i just want to do fun projects on youtube. they want to many software skills now.
I have an option of doing bachelor in Artificial intelligence or data science or computer science, what should I choose? I am stuck between AI and DS. All RU-vid videos talk like DS os better.
Have you seen the full video explaining the two routes? Data Science vs Machine Learning Engineer: Explained ru-vid.com/video/%D0%B2%D0%B8%D0%B4%D0%B5%D0%BE-P54tETYf7rI.html
Nice video. Thanks for sharing your insights. Is Bootcamp or Master's degree better from long-term perspective? I am not young students. I have 10-year working experience (in Banking industry) and have two kids. Timing is a consideration for me but also don't want to rush. I want to learn the fundamentals of SE but also want to learn things practical. Any advice will be greatly appreciated. By the way, I learnt data structure of C/C++ and Javascript and database theory during college (got Bachelor degree of supply chain) and used VBA and Matlab a lot in the graduate school (got a master's degree in finance). Thanks.
Masters at a prestigious university is better if you can swing it. I’m working on a video with my thoughts on bootcamp so stay stunned! I’ll post when I return home from my trip
This is very helpfu.Thanks for the great video. Do you have a video talking about the fundamentals that SE or MLE needs to learn already? If not, would appreciate you could create one for us. Much appreciate it!
I think the biggest problem I see is people conflating ML engineer and AI engineer. The former has a background in machine learning and the latter has a background in anything and is just using LLM APIs.
No, AI won't replace software engineer, not because it cannot, but because people won't let it happens. People is afraid of AI becoming more powerful and smarter than human. People would not make AI heuristic enough to replace huma .
Data scientists are becoming more like data analysts. They answer BI questions and the ml models they develop are for self use. Where as MLE the goal of their ml model (in all kinds of modality) is to serve customers, that’s where engineering comes in, for productionalization. That’s why it’s harder.
Hi Exaltitude. Am your new subscriber. So glad to see the notification. Currently am learning data science and love this video. Thank you for talk about data science vs machine learning. Keep it up!
Great info shared in this video. There is definitely a distinction to be made between Data Science vs. Machine Learning. It can be pretty unclear at first glance. But a dive into the intricacies truly uncovers a few cool & unique subsets of info for each subject matter.
This is the greatest exaggeration in history of technology! Edward Teller, the father of three hydrogen bomb, promised SDI, and failed. The super string theory failed too despite a Fields medal was awarded for its mathematics. How should the most difficult part of the IT be replaced by AI?
I don't know why😂 but I restricted other yt channels discussing broadly about the future scopes and importance of Data Science and ML. I just love to enlighten my knowledge of Data Science, ML, AI only from you😂😂 I wait eagerly for your videos, I get a different vibe from your contents. I refuse to gain knowledge from other channels😂, I just want you to teach me. Please carry on making contents, otherwise I'll stay illiterate in this field throughout my whole lifeeeeee😂
Thank you for your insight and candid views regarding becoming an AL/ML engineer. It was an eye-opener for me. I consider myself lucky to have come across your channel. I wish I had known your channel before I had embarked on my AI learning journey.
This is a really good video to explore how the AI career gonna be! The steps are so clear, right now I just started study the AI as a student but I feel so confuse all the semseter, maybe i'm not trying really hard, thanks for this clear AI path advice!
I shared my advice on tutorials here Don't Be a Tutorial Zombie: Learn AI the Right Way ru-vid.com/video/%D0%B2%D0%B8%D0%B4%D0%B5%D0%BE-c0w286I9PVg.html
AI causes the loss of many tech careers, Red teamers and blue team unite and decide enough is enough and decide to dedicate our lives to hacking companies that use AI until we bully them into submission so sub par SWEs can get their jobs back and their Ludacris salaries and we all live happily ever after!.... And then the alarm goes off and i get up to go to my new job as a dancing clown for the machines and so my dystopian life begins.
I am confused and baffled as to how AI will replace software engineers. I am a developer and I use AI to assist me with my coding task on a daily basis. And I am having a hard time understanding what people mean by replace lol. Unless the AI is a robot, and can analyze problems in the real world (physical space) and create software to solve those problems, then yes. Now can AI become an engineer’s partner? Yes, of course. But a replacement? I’d say people who make this claim have never either used AI or never built anything.
If you want to get into the AI engineeering, you need to face challange, you need to make sture you ready to read lots of lituratures, and competite with other PHDs, it carys the risk of burnout, and it constantly changing, the AI jobs are lack of junior roles