Is Learning AI Model Training and Infrastructure from Scratch a Good 5-Year Career Bet Without a PhD?
Exotic_Midnight_5426 · reddit · 2026-08-01
A beginner posted on Reddit asking about the ROI of learning AI model training from scratch over the next 4-5 years, covering underlying technologies from programming and math to PyTorch, CUDA, and distributed training.
The author's core questions include:
- Will these underlying training skills remain in high demand, or will they be replaced by highly abstracted frameworks?
- Do related roles strictly require a PhD, or are strong engineering skills and project portfolios enough?
- Where is the boundary between engineers and research scientists in training work?
Furthermore, the author proposes a hybrid path combining SRE (Site Reliability Engineering) and distributed systems, aiming to transition into an AI/ML Infrastructure Engineer. They ask the community for validation: is this breadth-first hybrid skill combo a good long-term career bet, or is specializing in a single area better?
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