Do you need a PhD to become a machine learning engineer?

Having a PhD or even Master’s degree is a really unusual ask for software engineers. We don’t expect this of developers working on networking or security or systems architecture or app development. So what makes machine learning so special? Yet we don’t require developers have PhDs to work on those things.

Is PhD in data science worth it Quora?

Originally Answered: Is a PhD in Data Science worth it? Yes, as stated by some of other posters, it is one of the PhDs that are exceptionally useful in both academia and industry. In fact, the REAL data science jobs actually PREFER you to have a PhD, since a real data scientist is an applied researcher in the industry.

Is it possible to get a PhD in machine learning with stats?

Nearly all the machine learning people in my department have PhDs in math, not computer science. Machine learning and stat are so connected that at my uni it’s very possible to be awarded a dual PhD in stats and CS for one thesis (I’m considering this). So think about what your goals are.

Is statistics a good major for a PhD in Computer Science?

There’s a strong difference between taking classes as a masters student and being a paid research assistant as a PhD. What I will tell you is that having a degree in statistics is probably just as good or even better than having a degree in CS. Coding is easy, math is hard.

Is it worth it to do a PhD?

In most cases during a PhD appointment of 3-4 years you essentially get paid to learn. Sure, the pay sucks, but it’s easily survivable and you can study and research almost whatever you want, without thoughts about a company’s goals or profitability of the project.

What are your strengths as a machine learning engineer?

People with deep knowledge in statistics and probability are highly valued in the machine learning field. That is a major strength.