I’m currently an ML engineer at a FAANG company, holding a Master’s degree in CS (non-thesis track) and a single third-author paper from my undergrad in Robotics. Despite my efforts, I didn’t publish during my Master’s due to various challenges. I’ve always been on the fence about pursuing a PhD, worried about my chances given my limited research background. Lately, I’ve been keen on shifting towards more foundational ML research, aiming to transition into a research role internally, but it’s proving tough—positions often require first-author publications, and the current economic climate doesn’t help. I’m pondering over applying for a PhD but feel discouraged by my sparse research portfolio. Can anyone share insights or advice on whether it’s still possible to get into a PhD program under these circumstances?
@Madison4 Your profile is quite impressive. It is still possible to enroll in a PhD program with your academic achievements and a Master’s degree in computer science (non-thesis track).
PhD programs consider many factors; emphasize your qualifications, goals, and potential contributions.
Good Lucky!
Without a strong publication history, admission to a PhD program in machine learning is still feasible.
Having publications can boost your application, other factors like research experience and recommendations also play a significant role.
You’ve got a good shot at getting into a PhD program given your experience, especially with your time at a big tech company like FAANG and your Master’s in Computer Science. When schools look at your application, they’re not just checking grades; they want to see your whole story, like your work history, what your professors have to say about you, and why you want to dive into research.
Here’s what you can do to boost your chances:
- Get into Research: Try to get your hands dirty with research, either at work or by teaming up with folks in academia.
- Get Published: Try to publish some papers, even if you’re not leading the charge. Collaborative efforts still count.
- Rock Those Recommendations: Get glowing recommendations from people who know your potential as a researcher.
- Tell Your Story: Use your personal statement to paint a clear picture of why you’re passionate about research and how it fits with the programs you’re applying to.
- Network, Network, Network: Rub elbows at conferences and workshops to meet other researchers in your field.
Just keep at it, because plenty of PhD students come from all sorts of backgrounds.