The path from working engineer to published researcher at a top AI venue is not a straight line, and pretending otherwise does a disservice to anyone mapping it out. The Reddit user asking for a roadmap from "learn Python" to "A* conference paper" is asking the right question, but the sequence they propose, learn Python, learn ML and math, read papers, find a topic, run experiments, misses the most critical step: learning to ask a question worth answering.
This is where many aspiring researchers stall. They master the tools, consume the literature, and then freeze when faced with a blank page. The difference between a promising candidate and someone who simply completes coursework is the ability to identify a gap that others have overlooked. As discussed in Navigating NeurIPS Deadlines and Topic Changes for Your Paper, even experienced researchers grapple with shifting focus and narrowing scope. The undergraduate or early-career engineer should not expect a linear path; they should expect to iterate on their question multiple times before it becomes publishable.
What makes someone look like a promising PhD candidate to a Stanford or Princeton admissions committee is not a checklist of skills but evidence of research maturity. This means demonstrating that you can formulate a hypothesis, design an experiment, interpret results honestly, and communicate findings clearly. A single first-author paper at a strong venue carries more weight than a dozen course projects. But the Reddit user should also know that a strong master's thesis or a well-executed industry project with measurable outcomes can open the same doors. The conversation in Can a Strong MS Research Profile Open ML PhD Doors Without A-Star Publications? underscores that publications are not the only signal, letters of recommendation from researchers who can speak to your intellectual independence matter just as much.
For someone working a day job while planning a Fall 2028 master's, the practical takeaway is this: start reading papers today, but read with a pencil. Do not read to absorb facts; read to find the sentence that begins with "However, a limitation of this approach is..." That sentence is your starting line. Then replicate one result from a paper you admire. The act of reproducing someone else's work teaches you more about the research process than any tutorial. Once you have done that, you will know whether you want to pursue this path seriously, and you will have concrete evidence of your ability to contribute.
The deciding variable that separates applicants is not intelligence or technical skill. It is the willingness to sit with uncertainty, to ask a question that might not have an answer, and to keep asking it until you find one worth writing down. That is what the Reddit user should focus on, not the conference name.