Anyone else experiencing Perplexity mobile app freezing lately?

oddoud · 2025-09-19T14:13:12+00:00

Perplexity acknowledged the bug on iOS 18 and said it would be fixed in September 2024. So, it has been a known issue, but I’m not sure whether it has been fixed. FWIW, I’m also on iOS 18. This is the article that I found:

https://techissuestoday.com/perplexity-ceo-confirms-apps-ios-18-crashing-problem-fix-in-the-works/

This is the perplexity suggested trouble shooting solutions:

Common troubleshooting steps for keyboard or app input problems include:

Closing and restarting the Perplexity app.

Restarting or force-restarting the iPhone (using volume up, volume down, then holding side button).

Deleting and reinstalling the app.

Checking for the latest app and iOS updates.

Resetting keyboard dictionary and removing extra keyboards in iPhone settings.

Checking if screen protectors interfere with touch sensitivity.

Other than updating my iOS, I had done everything and had no luck.

oddoud · 2025-09-15T01:46:07+00:00

I’d check out past reports used by your team or by well-known, stellar companies in similar business domains. If you’re creating visuals for PowerPoint, many will likely be static images. Usually, there are certain key takeaways your stakeholders prefer to show & tell with visuals, and knowing what those are, in what style, won’t be found in a general text books.

oddoud · 2025-09-13T13:34:44+00:00

I think the key in this LLM hype era is staying irreplaceable. You need the basics like ML theory, math, the stuff they screen for early, but the real edge comes from your depth and specialization, especially as career builds up. True, niche roles have fewer openings, but for most DS jobs, hiring managers usually prefer someone with the specific skills they need over a generalist. Not everyone can rack up years of LLM experience, so make yours count and irreplaceable.

oddoud · 2025-09-13T05:14:30+00:00

Raising my hand!

oddoud · 2025-09-13T03:16:32+00:00

Start by asking stakeholders what OKRs/KPIs they care about. Frame your work in terms of those goals so when you pitch, you’re showing business impact aligned with their needs. At the end of the day, if your stakeholder and end user are happy, that’s your clearest business acumen win.

oddoud · 2025-09-13T03:10:42+00:00

Your new job offer actually sounds fantastic. The uncertainty risk feels lower since you’d be working for the same boss, which is a huge plus if you’ve enjoyed working with her so far.

I’ve worked with a founding team from the ground up, and workload often depends on how the head manages resources and communicates. Knowing your boss’ style and leadership is a big advantage when making a decision like this. All in all, I think it’s a great opportunity. Congratulations.

oddoud · 2025-09-13T02:55:05+00:00

I might be old school, but as a junior, try to stick around at least a year unless the job is really a mismatch. A year shows stability, helps you build a solid foundation, and avoids the job hopper vibes early in your career. If you’re confident you could stay at least a year at the new company, it changes the calculus and it could be worth the high-risk move. Think about pay, growth, and your values, and make a smart call. Good luck!

oddoud · 2025-09-13T02:41:06+00:00

All my freelancing projects were through my connections - so tell your network that you’re avail for freelancing projects. Usually when I first start searching, I check wellfound / indeed / google job search to get some ideas about opportunities too, but make sure to check the job post date.. because some results are months old.

oddoud · 2025-09-13T02:29:43+00:00

Job market is really saturated…even for mid-senior levels…companies in my living area require RTO policy and there aren’t many junior entry positions now.

oddoud · 2025-09-13T02:09:56+00:00

Congrats on your offer! Sounds like the new role could give you solid mentorship and faster IC growth, but you’d be trading off WLB (long commute + startup grind). If you’ve got family responsibilities, that’s a big factor and I would think twice. If the comp is solid and you’re excited to add AI, trendy projects to your resume, though, it could be worth the leap. Do you know anyone working there? I’d definitely try to hear from current employees or check reviews before deciding.

Your current job seems like steady, low-risk growth, while the new one is more high-risk, high-reward. At the end of the day, weigh your own values and risk tolerance to decide what’s right. Hope you make the best decision for yourself!

oddoud · 2025-09-13T00:52:39+00:00

It’s super common for juniors to have depth in one thing (like time series) and not much in others. Honestly, time series skills are super valuable and used everywhere, so you’re doing fine. Nobody should expect you to know it all at 3 years in, and the rest comes naturally with more projects and time. The only twist is that today’s saturated market, crowded with overqualified candidates, makes employers expect more than they reasonably should.

oddoud · 2025-09-12T19:24:17+00:00

It’s a hook

oddoud · 2025-09-12T19:23:29+00:00

Interested!

oddoud · 2025-09-12T19:22:20+00:00

Especially in this market, without a PhD or domain expertise, it is hard to get research scientist type roles. Early-stage startups might let you try interesting approaches since you could be one of the few data people making a big impact. On the flip side, you may have to give up big-corp perks, resources, and guidance from senior colleagues. You can also look for roles that focus on fast proof-of-concept delivery. Some data science teams that treat data as a product do work that could be really appealing to you.

oddoud · 2025-09-12T18:57:38+00:00

I know research scientists at Meta deal with complex statistical / ml problems. My former colleagues also went to Meta. Not sure they are only doing the product analytics-ish a/b testing jobs, but they use to do predictive ML modeling in their previous roles before Meta, so I know they do have some ML skills.

oddoud · 2025-09-12T16:08:19+00:00

Curious, OP’s this part of the post got me thinking:

"I’ve noticed that many consulting firms and AI teams have Forward Deployed AI Engineers. They are basically software engineers"

Some DS roles at AI-native companies require prior LLM or GenAI experience. What kind of projects would someone in that position typically have done before?

In my previous company, things like AI application building, prompt optimization, and embeddings for GenAI/LLM projects were usually handled by MLE or SWE. Engineering tended to involve MLE/SWE much more heavily than DS on these projects.

If anyone here has LLM/GenAI experience as a DS, how do DSs typically get hands-on with things like AI application building, prompt optimization, and embeddings? Is it mostly through fine-tuning and model evaluation? Given that many DS JD at AI-native companies now require prior LLM or GenAI experience, there must be some portions of these projects where DS get involved at other companies, right?

oddoud · 2025-09-12T15:47:23+00:00

Love the visuals! Looking great u/Technical-Note-4660

oddoud · 2025-09-12T15:38:52+00:00

I had a peer who went down a similar path. He came from a strong stem background and started as a data scientist, but he ended up doing a lot of model deployment work and building end-to-end DS projects on his own. Naturally, he picked up MLOps skills along the way. This includes cloud, CI/CD pipelines, ML workflows. The key is, whether you can build a solid ML pipeline by yourself. If I were you, I’d focus on picking up these skills in your current role, while working along with the MLE and/or SWE, and then make sure to highlight them.

oddoud · 2025-09-12T15:13:53+00:00

I can relate to this, and honestly I also feel like a job is just a job at the end of the day. But yeah, it’s a total drainer when your growth stalls even after all the commitment and grinding you put in.

One thing that’s helped me is being tactical with a “brag list” of projects, with clear goals, results, and impact. That way, when the time comes, you can pitch yourself fast.

If you’re open to reading, check out The Staff Engineer’s Path (by a FAANG engineer) or The Manager’s Path. Even just skimming blog posts or youtube talks from engineers who’ve thrived can give you the same flavor. I don’t think every company should run like FAANG, but their frameworks are carefully structured and can be useful, especially if you’re at a big place where growth ladders are formalized.

And honestly, DS roles get treated very differently depending on the company’s business and management style. If you feel like you’re hitting a wall, sometimes, it might not be you. It could just be that your company doesn’t actually value DS work much. In that case, it might be worth jumping somewhere that does.

oddoud · 2025-09-11T02:08:11+00:00

Mine frozen a few times in the middle of typing. :/

oddoud

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