How might someone switch to ML from non-software engineering? MLE or DS, I'm not sure yet. Preferably MLS but that's a stretch. I am so bored at work and have been in every Boeing role I've had. I want to do something more exciting, less bureaucratic than aerospace, and better paying. Preferably health tech (wearables, PathAI, etc). I'm taking Coursera classes now and have considered a part time Master's in CS (GTech?), followed by an internal ML job (computer vision) before going towards health tech. This would be a 2-3 year path, and I'd prefer to do it faster. Any ideas? Are there worthy bootcamps for this? I can afford 12+ months off from savings if it were a good investment. I'm a high performing electrical engineer (flight control systems) with limited SWE experience. I have been in search of highly technical work and haven't found it in aerospace engineering. Tried out management work in an "executive potential" role and hated it. Figured I ought to double down on what I'm good at: optimization, math (especially matrices), and complex logical analysis. TC: 🌰 ($110k) YOE: 6 #machinelearning #machinelearningengineer #datascience #healthtech #careerchange #career
Wow, your job is a dream job for a lot of kids out there.
Right? I hate myself for not liking what used to be my dream.
Switching to software engineering is really a subtask of what you want to achieve. So is very strong knowledge of statistics. What do you mean by “good at matrices”?
My double major (systems science and electrical engineering at WUSTL) was pretty much continuous-time statistics (such as Kalman filters) and matrix differential equations (modern control theory). I loved it. I do math recreationally via YouTube channels and find math-heavy ML theory to be easy and a ton of fun. My old passion for aerospace is gone and I want to work on my actual passion, improving health, while retiring before 50 (currently on track for ~52). Healthtech via ML seems like a good fit. Switching to SWE is indeed a subtask to that end goal.
Try FastAI and follow Jeremy Howard, he’ll have some good advice on this
Thanks!
With your background just do a project or two, learn some jargon and start applying, both internally and externally. Perhaps even try to pitch some kind of ML project in your current role. If you think more structure is helpful start GA techs OMSCS program - no need to finish before applying. I previously worked in defense (as a SWE), and changed to G 1/2 way through OMSCS. Feel free to DM I'd you have any questions.
Cool, thanks! I'll DM you tomorrow. I can't quite do an ML project in my current role, I'm in a strategic role working with senior executives, but my boss, a senior exec, said he's down to place me wherever I want after our current project (end of year).
it’s hard to get into ml without any credentials For me that was OMSCS — this is a great way to get the background you need to break in. I broke into AI research by listing OMSCS on my resume. Anyone can do projects or Coursera/Edx/Udemy. But none of that really matters if you don’t have the credentials they’re really looking for!
Thanks for your perspective!
Just take a few courses and get a decent resume. Tie work you currently do with ML/AI even if there is a lose connection. Then prep leetcode, system design and ML system design for MLE positions. There is more fight for DS than MLE positions. Leverage your Math skills. Apply to smaller companies for MLE. I’m sure you will get in. Actually even the FAANGs might give you a shot if you have some work related to ML/AI in your experience.
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