Reddit is hiring engineers in ads quality for our brand-new NYC office! We’re looking for machine learning and backend engineers, both junior and senior.
The ads quality team is responsible for all the machine learning that powers our ads backend, as well as the inference and ML serving infrastructure.
Our backend is in flux, but we’re using: Spark and Scala on AWS for machine learning, as well as BigQuery on GCP for analysis. Our ads serving stack is written in go and runs on AWS.
Hmm, that shouldn't be the case. If you try again and feel like helping us out, feel free to email the discrepancy to [email protected].
Sometimes there is an explanation (e.g. the flight doesn't exist, or has a 30hr layover), and other times we don't have the flight, in which case we want to alert our providers to fix it.
Hmm, that shouldn't be the case. If you try again and feel like helping us out, feel free to email the discrepancy to [email protected].
Sometimes there is an explanation (e.g. the flight doesn't exist, or has a 30hr layover), and other times we don't have the flight, in which case we want to alert our providers to fix it.
Sure, in the right hands Django (and Rails) and yield major productivity boosts.
I personally don't like working in frameworks of that size because I find myself fighting them to do what I want.
For the course itself, I really wanted the students to get as close to the server as possible. Then, when some of them switch to the heavier frameworks, they'll have a better idea of what the framework is doing and what is possible. The course had a time constraint on it as well.
All in all, your anecdote reenforces my feelings on the topic :)
I actually deliberately didn't use Django specifically because it's so complicated for beginners (and for pros, IMHO). I was trying to avoid magic. Webapp2, which is the web framework GAE users, and what we used in the course, is about as simple as you can get without starting from scratch.
At reddit we had two tactics for the frontpage problem.
The first thing we added was the "rising" page, which used to be reddit's default "new" page. The rising page was a weighted new page. It was a little hacky, but worked for a while. I see they've changed this, which I think may have been a mistake, but I haven't thought about it in forever.
The second thing we did, which worked really well, was to have an up-and-coming link placed at the top of the list on the frontpage. This helped those borderline posts get more visibility. I had a reddit simulator I used to use to test things like this. That space appears to be a subreddit search box for me, so it seems they've moved onto another solution.
Randomness is an interesting idea, though it might be a bit difficult to fit into the way we cached things.
FYI - you can access most of ITA's routing language on Hipmunk, if you type :: after an airport code. The advantage of using us is we can make you a booking link to actually purchase the itinerary.
That was probably a pricing update. It's one of the really annoying things that plagues everyone in this space. I see the fare on us for $434 now (which is $423 after taxes).
I've seen this ORD -> HNL flight come up a couple times on this thread. So far, the prices that are better than ours seem to be flights with two connections, in a sea of results that only require one. I don't recall that exact algorithm off the top of my head, but that's the heart of the issue. This particular route seems to be a bit of an edge-case.
For hotels, we do get Orbitz inventory, but we also have a number of direct relationships. As you know, hotels are much happier to do business with people like us because they're not perpetually going out of business.
We've experimented with SEM, but it's not really cost effective for us. Everyone else in the business runs their own ads, giving them an ad-arbitrage business model we simply don't have. The upside to our customers is that the site is cleaner, the downside is our margins are skinnier.
1) Not sure what you're basing this claim on, but it's false.
2) To each his own, I suppose, but I have conflicting anecdotal evidence. Hipmunk passes the "parents test" with all of our parents :) And as for "people who spend big bucks booking travel," I can point to the huge amount of email we receive from assistants who use us exclusively. Maybe we're not everything to everyone, but we're at least making some people very happy.
3) We do re-target quite a bit, and that's probably what you're seeing. Most of our growth has come organically, which again speaks to the fact that we actually do help people find planes / hotels in far less time than our competitors, including Expedia.
Reddit is hiring engineers in ads ML for our brand-new NYC office. We’re looking for both junior and senior ML engineers.
The ads ML team is responsible for all the machine learning that powers our ads backend, as well as the inference and ML serving infrastructure.
Our backend is in flux, but we’re using: Spark and Scala on AWS for machine learning, as well as BigQuery on GCP for analysis.
Our ads serving stack is written in go and runs on AWS, and our ML includes logistic regression, GBDT, NLP embeddings, recommender systems, and more.
If you’re interested, shoot us an email at [email protected]