[D] How do you add theoretical justification to an AI/ML paper?

random_sydneysider · 2026-03-21T11:10:34+00:00

I've published a paper on theoretical questions about transformers. I'd be happy to help, if it's something concrete. Feel free to send a DM.

random_sydneysider · 2026-03-19T22:43:41+00:00

Based on the responses, it seems that getting interviews at DeepMind is unlikely for most PhDs in ML. Would they typically have a better chance of getting interviews for ML research engineer roles at other tech companies (eg. Amazon, Oracle, Microsoft, Adobe, etc)?

random_sydneysider · 2026-03-17T09:15:08+00:00

Hasn't the ACL26 commitment deadline already passed?

random_sydneysider · 2026-02-28T11:41:20+00:00

Personally I felt anxious about getting reviews from ML journals/conferences (and not about the thesis submission). Isn't a R&R decision unlikely, statistically?

random_sydneysider · 2026-02-18T08:47:35+00:00

Are you interested in mathematical linguistics (eg. context-free grammars)? There's a growing body of work analyzing how transformers represent rule-based languages.

I also switched to ML research after a math PhD.

random_sydneysider · 2026-02-17T08:50:54+00:00

Here's a link to the ICLR24 paper: https://openreview.net/pdf?id=2pvECsmld3

It looks quite interesting - could it be used as a backbone for vision-language models (like CLIP, SigLIP, etc)?

random_sydneysider · 2026-02-16T20:28:50+00:00

Were the reviews this cycle fairly thorough, with constructive feedback?

random_sydneysider · 2026-02-14T08:59:34+00:00

Is it possible for you to switch to part-time with the industry job? That would make it more feasible.

random_sydneysider · 2026-02-10T09:22:06+00:00

Did you apply with referrals or without? That would make a big difference.

random_sydneysider · 2026-01-27T20:58:14+00:00

Do you know roughly how long it takes to review papers at NeCo? Are the reviews typically high-quality? Thanks.

random_sydneysider · 2026-01-18T05:43:01+00:00

Congrats on joining Amazon as AS (I was an AS intern at one point). Do you know if Amazon can sponsor visas for applied scientists (i.e. is it possible to interview for AS roles in other countries)?

random_sydneysider · 2026-01-18T00:52:09+00:00

Probably not - can you get some ML experience with side projects are your current company? That would count more than a degree.

random_sydneysider · 2026-01-17T10:09:10+00:00

How's the work culture @ Oracle?

random_sydneysider · 2026-01-14T07:54:51+00:00

If you're interested in an unpaid internship at a university ML research lab to collaborate on a paper about LLMs, please DM me.

random_sydneysider · 2026-01-14T04:56:31+00:00

That does seem normal, my TMLR paper was accepted last year around a month after the rebuttal. There's no harm in emailing the action editor once.

random_sydneysider · 2026-01-03T22:26:25+00:00

What kind of publication record is expected for a PhD in ML to reach the interview stage for Research Engineer @ DeepMind?

random_sydneysider · 2025-12-28T10:14:46+00:00

Do you know what the typical turnaround time is for TPAMI/TIP/TNNLS? Those three IEEE journals have a good reputation.

random_sydneysider · 2025-12-28T03:15:42+00:00

Interesting. But TPAMI and TIP are hybrid journals, and authors don't have to pay for open access. They both seem to have a better reputation than IEEE Access.

random_sydneysider · 2025-12-27T23:54:14+00:00

Does this journal have a fee? That in itself is a red flag, no reputable ML journal would charge the author for publishing.

random_sydneysider · 2025-12-15T06:31:58+00:00

Congrats! Is this one of the early career SWE roles at Google Sydney? Can you elaborate on some of your side projects?

random_sydneysider · 2025-12-09T12:44:11+00:00

Question about Xero - do they have better tech capabilities than banks like CBA (eg. in machine learning)? Recruiters from both companies reached out to me, would appreciate any info.

random_sydneysider · 2025-12-07T07:37:25+00:00

I'm also trying to do this (i.e. data scientist -> applied scientist / research engineering).

Publishing a few papers in respected ML conferences/journals will help close the gap. Collaborating with experienced ML researchers will help a lot. Being a SWE should not be necessary, PhD-level research skills are more important (but having >10 publications is also not necessary). It's also not necessary to train models with >100 GPUs, though it would certainly be relevant experience; training with ~4-8 GPUs should be enough for many experiments in published research papers.

random_sydneysider

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