[ml] Machine learning jobs

Vikram Oberoi voberoi at gmail.com
Thu May 20 18:08:55 UTC 2010

Oh, I forgot to mention: we're also hiring into our Visualization Engineer
role: http://www.meebo.com/jobs/openings/visualizationengintern/. That's our
intern position, but we're looking for full-time candidates as well. The job
description is the same, and it's the frontend counterpart to our Data
Engineer roles.

Vikr"this is my last email about this"am

On Thu, May 20, 2010 at 12:04 AM, Vikram Oberoi <voberoi at gmail.com> wrote:

> Hey folks,
> I work at Meebo and we're hiring aggressively into our two Data Engineer
> roles: Data Engineer, Analytics and Data Engineer, Machine Learning. Only
> one of these job descriptions is up as we're drafting the other:
> http://www.meebo.com/jobs/openings/data/.
> I'm a data engineer (analytics) at Meebo and I wear a lot of hats on a
> daily basis. My work spans:
> a) Building/maintaining data processing infrastructure. This involves
> working on things like Hadoop performance, building job schedulers, and
> building reporting and monitoring tools for our data cycle. It's fairly
> systems programming-heavy.
> b) Processing our data to provide analytics to internal product,
> engineering, and UX teams in addition to our partners. This involves working
> on Pig scripts, MapReduce jobs, and delivering summary data to databases (we
> use CouchDB extensively) that our frontend uses to generate useful, pretty
> graphs.
> c) Defining our metrics, figuring out what numbers our teams should be
> looking at, and designing experiments (A/B tests) to drive growth in our
> products. It's all the things I do here that drive the work I do in a) and
> b).
> It's a solid mix of actual, nitty gritty, wonderful software development
> and big-picture thinking about where our business is headed and how we
> should be measuring growth. I also get to touch a lot of teams in the
> company, so it's a rather social job. If you're interested, please let me
> know!
> Our Data Engineer, Machine Learning role is more product-centric in that
> our machine learning data engineers are working on building intelligence
> into our existing products or building applications on top of our mounds of
> data. Currently, we have engineers working on behavioral targeting for our
> ads platform. They read papers, design classifiers, implement them, and do
> cross-validation testing. They also architect and build the systems that
> serve requests to our classifiers.
> We currently reach over 120MM unique users a month and are growing. We have
> lots of interesting work and room for you to grow in your role. Ping me if
> you're interested!
> Cheers,
> Vikram
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