avibryant

Joined 19 years ago

Karma

926

Submissions

163

Member since

Feb 20

Currently enjoying hacking on boats, CNC, LiDAR, housing, Bayesian stats, GIS, and radio networks. Interested in collaborating with and potentially funding others doing the same.

Some affiliations in reverse chronological order: Ink & Switch. Gradient Retreat. Stripe. Etsy. Twitter. Dabble DB. Squeak Smalltalk.

[email protected]

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Recent submissions

Comment · 2 years ago

Do you have any links to your experiments and/or those of your colleagues?

Comment · 3 years ago

See also https://geoblaze-gsoc.vercel.app and the underlying libraries it uses, which also do range queries on GeoTIFFs.

I'm super interested in this space, including in helping financially support some projects. I already emailed Ted about this, but would be happy to chat to anyone doing this stuff. My email's in my profile.

(Luckily this is niche enough I'm not worried about my inbox blowing up....)

Comment · 4 years ago

Well, I guess it's a good thing that I was a manager and basically never issued any operational commands over chat.

Comment · 4 years ago

This is great! If you're interested, I'd love to have you at a GIS/mapping-focused retreat I'm hosting at https://www.gradientretreat.com/ this summer. You can reach out privately at [email protected].

Comment · 6 years ago

How hard would it be to support the Teensy boards? I didn't see any mention of them one way or another in the website.

Comment · 6 years ago

Interesting, anyone else seeing this? It's hosted on Netlify and is just static HTML&JS.

Comment · 6 years ago

From what I can tell, Causal's models only run forwards, with no inference (ie, they can generate predictions from priors, but they can't update those priors from observations).

Is adding inference on the roadmap?

Comment · 8 years ago

Yes, we are - Rainier is used in production, though so far it's a very small part of our overall ML efforts.

Comment · 9 years ago

Huh. No, for the record, we'd never heard that acronym when we chose the name for Dabble DB.

Comment · 10 years ago

Stripe | Seattle | Onsite

Search & Query Infrastructure Engineers

I'm helping build a new team for Stripe in a new Seattle engineering office. We're focused on building distributed, scalable infrastructure for user-facing search and reporting-related features of Stripe's product. This is an opportunity to work on new, high-impact projects in a small team, while supported by the scale of Stripe's overall engineering organization and business.

Apply here: https://stripe.com/jobs/positions/engineer-seattle This describes our interview process: https://stripe.com/jobs/engineering-onsite.pdf

Feel free to also ping me directly at [email protected].

(BTW, since recruiters probably read these threads, we are also hiring technical recruiters in Seattle: https://stripe.com/jobs/positions/technical-recruiter-seattl...)

Comment · 10 years ago

That was awkwardly phrased, I guess. I live in the Gulf Islands in British Columbia.

Comment · 10 years ago

We're open to remote or distributed teams within the US and Canada. All else being equal, we'd prefer to hire people in SF, but for a sufficiently great team, being elsewhere wouldn't be a showstopper. We're conscious of not wanting to miss out on the diverse, talented set of people that happen to be outside of the bay area.

(I may be biased here: I work for Stripe from a small community off the Canadian coast).

Comment · 11 years ago

I often cook steaks from frozen (sous-vide, or just low temp in the oven). I'm curious: is that one of the use cases you're testing or thinking about?

Comment · 12 years ago

I take your point that there are a number of possible explanations (at varying levels of plausibility) for this effect, but to address a specific example you mention: whenever we change something significant in Checkout like adding the "remember me" option, we A/B test it, and if it did in fact cause a "horrible drop in conversions" we would absolutely not release it. (It doesn't).

Comment · 12 years ago

That's a fair concern. The sample sizes here are relatively high: you can probably back some estimates out yourself from the numbers given in the post (millions of dollars raised, mean donation of $88, 14% of donations in the last week were repeat, etc). I'll also say that the comparisons in the post are significant to a 99% confidence level.