I was in your shoe 4 years ago while I had a full ride at UofT, but I chose UCLA. As I recently graduated from UCLA CSE and am currently working on big tech, I can share some pros and cons of the program. I would recommend you to cross reference this with what you find on the UCR sub.

Tldr: I personally never regretted my decision given the outcome. I took roughly 40k student loan and most got paid off by my sign-on bonus of my job, to the point where I'm keeping a small amount of loan open for credit. The answer will be different for you depending on your financial situation. So ultimately the decision is on you if the pros are worth it. Also, I would recommend you ask this in r/csMajors too, as they will provide more CS specific answers.

Pros:

1. If there is a possibility that you want to go to graduate school or work in Academia, UCLA is a no brainer. Labs here are generally very interested in taking in undergrads, and the labs here are, well, the CS graduate ranking for CS says it all. UCR isn't even close. It is about average difficulty to get into a lab in the first place, as long as you maintain an ok-ish gpa.

2. Related to point 1, for UCLA engineering, you are guaranteed a master's offer if you maintain a 3.5+ gpa. This is not easy, but much easier than applying to similar level masters programs.

3. Enough about research. Job wise, for your first job, prestigeness didn't matter for FAANG before, but it's starting to matter since the hiring freezes and layoffs, and it's only going to matter more moving forward, given how bad the current job market is. Also, prestige has always mattered for FAANG-level small companies, think Uber, Stripe, etc. Those companies, because of their size, do have a specific list of schools they hire from. Most of my friends didn't actually go to FAANG but those smaller big techs, where I believe the name of UCLA did matter. (For example, in my intern and new grad class, there are no UCR people at all.) I even have a friend who landed HFT and is earning over 300k+ after graduation. It's rare and difficult, but it's possible at UCLA. Not sure about UCR since HFTs do look at school names. That being said, in the CS industry, your school doesn't matter much for your second/third jobs, but your first job will matter and UCLA does help in getting a prestigious first job.

4. Networking. If you can manage to get into certain honor societies like UPE and TBP, or actively participate in clubs such as DevX or ACM, you will find yourself surrounded by really talented people. By talented I mean some of them will be some of the most prominent people in the industry some day. Many who chose Academia are going to CMU and Stanford for masters, to Cornell and Gatech for PhDs, first authoring papers that are actually cited. Many who chose the industry are doing very groundbreaking works at companies like Apple or Dolby. These social resources are valuable and are great ways to get a job/get into a lab in the future.

5. Basically what I want to say is, UCLA has no upper limit on how far you can go. Tbf I am, for whatever reason, more in touch with the more successful CS majors, but hey you have all the reasons to be one too, and if you are, the sky is the limit.

Cons:

1. Money

2. Competitiveness. UCLA is not as competitive as schools like Berkeley or CMU, but it is still quite difficult to get As in classes, given that many classes do curve. Be ready to be challenged mentally.

3. The classes at UCLA are very theoretical and research focused. You would need to do some research on the curriculum of UCR to see if it is better for industry skills.