Future of ML/deep learning career

Oracle
🧠failure

Go to company page Oracle

🧠failure
May 3, 2019 29 Comments

I'm currently working as an IC. Got a good offer as applied ML engineer. I'm working on distributed systems right now.
In my future job I'll be working as applied ML engineer productizing ML research work produced by research team.
How do people on blind see the future of this kind of work. Do you guys this it just as a hype?

Current TC 130k
Future TC 200k

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TOP 29 Comments
  • Uber
    lost a $B

    Go to company page Uber

    lost a $B
    For the people who do research, no. For you, yes.
    May 3, 2019 10
    • Uber
      lost a $B

      Go to company page Uber

      lost a $B
      I didn't say anything about title. OP should know best what responsibility his job offer entails. Unless you are at the few places with the scope, scale and business need to justify you writing ML system at scale, you are very much calling other people's API regardless of what you wrap your code in or what your title is.
      May 3, 2019
    • New / Eng
      abuhr3i

      New Eng

      abuhr3i
      Writing ML systems at scale is practiced in many companies, more than you think. At some point you call some APIs but how to build your systems around those calls requires ML expertise, cause they're never sufficient.
      May 3, 2019
  • Uber / Eng
    Trigger

    Go to company page Uber Eng

    Trigger
    u see how testing jobs became obsolete and became part of development ? as the ML research gets more diluted with more researchers, ML eng will become part of research and will lose value
    May 3, 2019 8
    • New / Eng
      abuhr3i

      New Eng

      abuhr3i
      It depends on your experiences at the job to be more on implementation/scaling or on algorithm development and applied research. Why do you want to transition to research? Research is overrated. The ROI and impact is lower. You can't believe how many researchers from top labs in industry come for interviews with my team (engineering) cause they want to have potentially more impact by being closer to the products.
      May 3, 2019
    • I think ML research is usually seen as being the top of the band in terms of product vision and direction. Or they could do more just publications and research, but using company resource to do so.

      Usually the difference between testers and SWE is that SWE typically had to do a Bachelor’s in CS (although this is a very rough generalization). And for ML research needs PhD and publications. So maybe the difference is in academia education background?
      May 3, 2019
  • 2nd the opinion that ML engineer is better than ML scientist. As an ML engineer you have (should have, can convince people you have) desirable back up skills. Usually ML scientists don’t have (or it’s difficult to convince people they do have) the suit of SWE skills, eg production tools debugging, PR reviewing, api glueing, leetcoding. Also that ML PhD is going to get you the side eye by recruiters and hiring managers
    May 3, 2019 2
  • New / Eng
    FAANG_

    New Eng

    FAANG_
    How research has no future in ML/AI! I think researchers are most valuable than Software engineers in ML/AI field . The problems in ML/AI can be solved only by new researches and trials . Programming is not that much in ML/AI . And of course ML/AI engineers have a good future. I encourage you to go on ML/AI engineer.
    May 3, 2019 2
    • Oracle
      🧠failure

      Go to company page Oracle

      🧠failure
      OP
      What is the difference between ML engineer and AI engineer?
      Sorry too many terms keep popping up these days and there is no industry standard as which role maps to what responsibilities.
      May 3, 2019
    • New / Eng
      FAANG_

      New Eng

      FAANG_
      I am sorrry I will update it . I mean ML/AI . But for your question. AI has many tools and techniques to be achieved , one of them is ML. Also ML has many tools and techniques , one of them is Deep learning . Iam not ML/AI engineer but I read some materials like deep learning.ai . It is good source to learn about ML/AI.
      May 3, 2019
  • New / Eng
    FAANG_

    New Eng

    FAANG_
    I got your point of view . It is reasonable. So what is your advice for software engineer if he wants to specialize in something valuable?
    May 3, 2019 0