Oscar Health in NYC is fixing the health insurance industry by building a tech and data driven insurance company from the ground up. It's an extremely complex, highly regulated industry that is in need of fixing. There are many startups that try to address pieces of the broken health care system, but Oscar is the only startup trying to solve it by doing it all. Engineering talent from Facebook, Google, Tumblr, Spotify, Apple, and more.: https://www.hioscar.com
The USA shouldn't have such a terrible health care system. Let's fix it. They are hiring all sorts of talent: https://www.hioscar.com/jobs
Fully cloud based, heavy aurora/mesos shop, kafka, hbase, redshift, mysql, python, flask, and an abundance of data analytics.
No doubt health insurance is hard problem, but it's not technically hard. OP asked for examples of company's pushing the limits of advanced technology, and Oscar is not one.
It's not solving difficult problems in algorithms, systems engineering, hardware, ML, AI, etc.
Nothing wrong with that. But using today's technology in web and mobile to build a highly-usable customer experience, is not what OP meant by hard technical problems.
I'd like to correct you on that, Oscar is not just a pretty design smacked on-top of an insurance company. It's the entire insurance stack redesigned from the ground up.
Algorithms and ML are all heavily used in analyzing member data to improve the lives of people.
We're engineering systems that give us real-time feedback on the insurance system as a whole, rather than the usual "30-60 days". Building a claims system from scratch is not an easy feat.
If you'd like to learn more about what we're doing i'd be happy to demo it for you.
Don't be fooled by our pretty and simplified website. It's all of the hard engineering efforts that you don't see that make the simplified experience possible. :)
The USA shouldn't have such a terrible health care system. Let's fix it. They are hiring all sorts of talent: https://www.hioscar.com/jobs
Fully cloud based, heavy aurora/mesos shop, kafka, hbase, redshift, mysql, python, flask, and an abundance of data analytics.