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Are you considering a career as an AI Engineer or Machine Learning Engineer? Before you dive in, understand the harsh realities of landing your first job in tech. In this video, we break down the unfiltered truths about AI engineering and machine learning jobs that you won’t find in the job postings.
Discover the real demands of the job, the significance of degrees, and the competition in the AI/ML industry. We’ll also provide practical insights on how to navigate these challenges if you’re determined to pursue a career in artificial intelligence or machine learning software engineering.
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I give advice for navigating your engineering career journey successfully
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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.
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If you have no AI or machine learning experience and still want to become one here’s the secret and I get it that’s where the future is going my research was on 1125 applicants you got to play smart and be strategic okay I don’t know who needs to hear this but breaking into
AI or machine learning engineering isn’t going to be an overnight Journey I’m Gene you’re a trusted engineering Mentor who’s going to tell you the harsh reality about becoming an AI engineer in this climate and trust me you’re not alone in this many people are just firing off countless cold applications
And they’re frustrated because they’re not getting any responses and let’s be real those AI machine learning job descriptions can feel like trying to decode a secret language right I know exactly what you’re going through because I did some research I looked at 39 LinkedIn job listings to help you
Decode the confusing mess of titles and expectations and experience levels companies just throw terms around but the experience required very varies widely so for example figma is hiring a ml AI engineer no indication of the level in the title but when you scroll to the requirement sections you’ll see
That they want eight plus years of experience according to levels.fyi five to ten years of experience is considered senior engineer but figma doesn’t indicate that in the title so how are you supposed to know that so if you’re unsure what the levels mean watch my other video who pays more than thing I
Talk about the highest paying companies and Tech based on levels So reading through these job descriptions feel kind of like deciphering a secret code which kinda is I guess it is a common challenge in the tech world trying to decode the lingo now I’ve been working
In tech for 17 years now so I can help you translate this here’s a breakdown I looked at 15 AIML openings so 12 senior roles and 12 Junior postings outside of AI slash ML and when I say senior roles I had the word staff or senior in the
Title and then the junior roles had words like entry junior or new grad but not AI or ml in this batch of 39 positions there were 1125 applicants and as a premium LinkedIn user this data comes to me as a feature I have no affiliation with
LinkedIn I just paid to use this feature so what is the outcome drum roll please among Junior rules about half and half had bachelor’s and master’s degree and three percent have phds senior roles were about the same except five percent had PhD so two percent more than the
Junior roles now ai slash ml rules on average of only about a quarter had a bachelor’s degree while over half had master’s degree and 11 had phds of the 24 non AIML Junior and senior roles only two explicitly mentioned the terms Ms or PhD which is about eight percent
In contrast 30 percent of AI ml petitions mentioned either Ms or PhD in the qualification section I know it’s confusing yes we could discuss the need for standardized titles and job postings but that would involve a long-term shift in the industry as a whole for now let’s
Focus on the job hunting process for you if you are actively job hunting now it just means that you need to do a lot of reading my research was on a small sample size 1125 applicants so I checked out research on current AI slash machine learning Engineers with phds these are
The people who got the job after applying in 2019 19 of data scientists held phds in 2021 LinkedIn report 28 of machine learning Engineers had phds also the AI index report from 2021 notes 45 increase in AI related phds granted from 2018 to 2019. so it only makes sense
That more AI machine learning Engineers have phds since more people graduating PhD do it in Ai and machine learning imagine climbing the Everest in sandals with no preparation or tools that’s kind of like trying to become an AI or machine learning software engineer with no experience overnight and I have seen
These videos or gurus claiming that you can become an AI or machine learning engineer overnight then you apply to hundreds of these roles and you can’t land a single interview then you ask me what am I doing wrong well you’re on the wrong path my friend and I get it that’s
Where the future is going so here’s the secret if you have no AI or machine learning experience and still want to become one you got to play smart and be strategic so this is what you’re going to do first start anywhere you got to get your foot in the door don’t just
Wait around waiting for the perfect AI or machine learning role to appear magically competing with the phds for AI roles is like using Brute Force to open the safe try becoming any kind of engineer full stack iOS web whatever you pick because they have better odds the sooner your employee the sooner you
Start gaining real life industry experience which is what counts the most when you’re looking for a job according to the 2023 future of jobs report number one thing that companies care about is your past work second they test your skills then third they check your degrees this means if you don’t have
Prior work experience you would need to Ace your coding interview but the catch is if you can’t even pass the resume screening you won’t even get an interview meaning you don’t get the opportunity to demonstrate your coding abilities and I’ve been there before landing my previous role at whatsapp I
Apply for over 300 jobs and got less than a dozen interviews and that was a relatively active job market so aim for rules with better interview odds if your interviews or scares Go For Less competitive roles and I mean of course if you’re flooded with interviews you go
For the exciting roles but in this tough job market not everyone can really follow their passion so when times are tough you operate in a more practical mode and that’s okay and I say this because this is the third recession I have seen personally you know there was
A 2000 outcome crash and then the 2007-8 financial crisis or the housing crashes and this is the third time we’re seeing a recession and there are always ups and downs in economy we will recover but for now you just need to stay practical at first you may not land the most exciting
AI roles or projects but you can step up for AI projects later on if your current company doesn’t have any AI projects you can take the initiatives look for chances to automate manual tasks propose those solutions for actual workplace challenges observe other people what are people struggling with an ease your way
Into the world of AI if you pitch ideas that actually help people at your workplace most likely your bosses are going to love it you can also work on more side projects in AI you know I don’t necessarily encourage people to work on side project to get a job but
Once you have a job you can work on side projects launch an app in the app store or build a website but with real users so you build your portfolio and experience working on these real-life projects because remember the number one thing companies are looking for prior
Experience so once you get your foot in the door it’s much easier to start gaining these experiences you can work pores moving into the AI track and if you’re curious what languages you should be learning to be more competitive as a software engineer watch my other video future proof your Tech career against
Future future proof your Tech Career against AI but remember your career is a marathon not a Sprint so beware of shortcuts and guarantees if anyone’s promising that you can become an AI engineer in three steps be aware because those are red flags success in AI will take time
So embrace the journey focus on growth and build your expertise over time
35 Comments
Thank you❤
ML is not too hard. The difficulty is overrated. You don't even need to be proficient in Math. She gives us the wrong information. The quality of your degree depends on a university.
It certainly feels like AI will be able to do much of the things folks with 4 year degrees will be able to perform, maybe even more proficiently than human counterparts to some degree. I’d assume only those doing cutting edge research would be left unscathed.
7:30 Very poor advice.
Hi, how about the age of ml/ai researcher? Are there many workers over 40/50/60? I am a java developer persuing math degree. Actually I read ml project book but I don't see mathematics connection. Can you give me an advice?
reading job requirments is a way to decode secret language? okay, thank you 🙏
Yall should look into MLOps engineer.
What a nice person you are! I don't know why I just liked the whole presentation. Especially liked the little tongue twisting at the end. It made you very relatable.
Thank you for being honest and geniune unlike a lot of these "become a AI dev in 1 week" content creators. I work from home so I will be taking a full year learning python, python oop, numpy/pandas/mataplot, and brushing up my math skills, and learning other things in the world of AI/Data science.
Hi currently I am a data scientist being a bachelor's degree will it affect my carrier in near future
I think the real value in AI/ML is to understand it, know how to build models and apply it to your own domain. I think doing this would make you a much stronger candidate in your domain and is a much clearer way ahead than trying to squeeze into this highly overcrowded market.
i got through without a masters in AI. Was brutal, but can made it. I worked as a applied scientist at MS for ttwo years.
Thank you for being honest and geniune unlike a lot of these "become a AI dev in 1 week" content creators. I work from home so I will be taking a full year learning python, python oop, numpy/pandas/mataplot, and brushing up my math skills, and learning other things in the world of AI/Data science.
Lots of great advice, thank you. Would you be great to have a roadmap for full stack software engineers who are trying to break into AI/ML and compete with PhD's.
What kind of projects (ml/ai) do you think would be a great fit for your resume
Honestly, if you really want to work in this field, don't take these job descriptions seriously. They're written by people who don't know what they're doing and probably want to pay you half of what you're worth.
If this year I'm graduating from mechatronics engineering but want to switch to Data Science/ML, should I do an internship related or a master's before to get into ML world? (Only know how to program in Python)
The best advice you gave is “make yourself useful” (paraphrasing). This may even get you promoted. In the best companies (not always the most visible, or best ranked), you can even end up creating your own job.
Don’t do what you like. Like what you do.
I became a ML engineer completely by chance
Looks late 20s: "I've been working in tech for 17 years now"
What a joke.
Except for a very small percentage of highly gifted people, or very specialized jobs, most people need several years of project experience to become reasonably skilled in ML and definitely at least a couple more years in DL. Of course some level of productivity is possible before that, but it really depends on the person and the job.
i am actually doing specification on ai in my btech engiinering what should i do ??can you help me??i am in mid of third year i can't even change it next year will be last one .would be jobless according to your statistics
I’m going to go against the grain here and suggest that if the job description is “cryptic” that you probably aren’t qualified for the role. I’ve written a lot of job descriptions, done interviews, and hired people. We don’t write job descriptions to be quizzes. The qualified person would read it and know everything we are talking about in a job description. The goal is to let the applicants know that they don’t want to waste their time. The problem right now is that people watch a free code camp video about PyTorch and then feel qualified to apply to mid level and yes, even senior level roles. If you don’t understand what they are asking for in a job posting then you’re not qualified for the job. So what you should do is read a bunch of job postings, see that a bunch of them seem to be asking for something that you don’t know and then you work on getting that knowledge. Yes, this might come as a shocker but there’s no shortcut to jumping to those senior roles. You have to work your way up. That’s life. Junior roles are competitive because there are a lot of people looking to get in and most won’t make it. Your Junior role is the hardest role you will ever land in the industry. So instead of applying to any job you can find you should spend time to stand out in the ones you realistically are qualified for. You stand a better chance of getting the role then. Applying for a senior role when you have no experience and don’t even understand the job posting is a waste of your time and the company’s time.
If you don't have PhD then have projects that actually do effectively. Most PhD aren't all that. It's great but it s education not effectiveness
why work for some crappy company
Guys, a bit side tracked though, what do you guys think the next big things that would come along with or after AI??
I would love to dabble into AI right now, but realistically it seems pretty impossible as I'm not ready at all. Plus, I wouldn't want to get into the AI field 5 – 10 years from now for which I would need to prep myself to be qualified because the AI market might be much more saturated than how it is now.
Again, I am totally new now and would spend another 5 – 10 years to prepare myself. But I would want to get my foot into a really hot and trendy field beyond AI after 5 – 10 years. What fields do you think would be hot within the IT industry in the near future?
Hi i have a doubt
Nice
How about semi-lateral move. I already work for one of the big chatbot companies, I do qa/safety, non technical role. I have never actually seen any of the engineers, I just have an email I can use to yell at them when they screw up.
ma'am for real your content is as beauty as you and also being smart i am jealous i want you
Can’t wait for the guys on the oil rigs, masons and plumbers replaced by machine learning 😂
yes…ive been working as a Java Developer for 20 years…for the last year ive been studying ML/AI nights and weekends…I started nosing around the AI/ML projects on my companies private GitHub and have been playing around with them and have been making friends with the people already on those teams….i am happy to say I am currently transitioning to an AI Engineer on one of the teams….it is possible
From what a friend of mine mentioned that if you're not already in AI it's a little to late. Overall the problem is solved and the AI training and AI data handling jobs will be some of the first automated by AI.
You are so beautiful just like a goddess to be honest i want to marry you know more about you sadly it won't happen any live happy forever