Ask HN: Who is Hiring? (November 2011)

Burlingame, CA (Burlingame is near San Francisco Int'l Airport) - TellApart http://www.tellapart.com/

We're hiring Software Engineers, senior and junior, as well as Software Engineers specializing in machine learning.

We help eCommerce companies "TellApart" their high value customers from the rest by collecting and making sense of their customer data.

Here are some technical challenges you'll face at TellApart:

- Scale--build systems that handle tens of thousands of requests per second under strict latency guarantees on behalf of hundreds of millions of users

- Predictive modeling with huge data sets--build predictive models that evaluate hundreds of thousands of features in milliseconds

Email me at wei@tellapart.com if you'd like to find out more.

Mountain View - drchrono.com (YC W11) [full time and interns]

We're looking for more engineers and salespeople to help us revolutionize healthcare through mobile and web interfaces. Our stack includes Python/Django, iOS, Android, but you don't need to be an expert, just ready and willing to learn fast!

Our product supports thousands of doctors who depend on our systems daily to provide quality care to their patients, iPad in hand.

The usual startup benefits included: competitive salary, healthcare, whatever hardware you need to be most productive.

email: jobs@[our-domain-name].com

http://drchrono.com/jobs/

Mountain View, CA - Full Time - http://solumtech.com/careers/

Solum gives farmers the information they need to grow crops optimally. We build automation equipment, have a chemistry lab, and are building a fertility model from our rapidly-growing set of soil data. This means we have a real impact in producing food while minimizing pollution from fertilizer runoff.

We are around 15 people strong and are hiring across many disciplines, including Software Engineering.

Drop us an email at jobs@solumtech.com if you are interested!

Ness Computing. Los Altos, CA (H1B applicants welcome)

At Ness we're building a personalized search engine which combines personal data about an individual along with signals from their social graph and delivers uniquely tailored results for each query. Our first product focuses on restaurants and has been featured in the App Store since our launch 8 weeks ago.

Behind the scenes we're combining collaborative filtering and other forms of machine learning with traditional information retrieval to predict what users will like, explain our prediction to users, and rank what they will want to do in the moment.

Doing all this requires well architected, scalable systems for pushing lots of data and answering queries with minimal latency.

I know this is only the broadest possible overview and I'd be happy to talk if you'd like to learn more. My email is in my profile.

You can see the product at http://www.likeness.com

Seattle, WA, San Francisco, CA, Palo Alto, CA and more - Splunk (full-time, H1B, interns)

A lot of people think Splunk must be a terrible place to work at because they think it is an "enterprise" company. But the truth is, we have great jobs for a lot of people. Want to work on awesome visualizations for gigabytes and terabytes of data daily? We got it. Want to work on building a development platform for an extremely powerful data analysis tool? We got it. Want to help make the core server that powers our extremely fast indexing and performance better? We got it.

Whether it's UI, core systems engineering, dev platform or anything in between, we likely have something for you.

I personally work on the development platform in the Seattle office, but I'm happy to answer questions about anything. Feel free to shoot me an email (in my profile), or comment here.

Also, check out our new dev portal which we launched recently: http://dev.splunk.com