jluan
Joined 15 years ago
Joined 15 years ago
Dextro - Senior Distributed Systems Engineer (NYC full-time)
=======================================/
// What we do
Dextro is a venture-backed AI-as-a-service company building an API that makes it easy for developers to search, filter, and gather actionable statistics over photo and video datasets — without knowing any computer vision or machine learning. Our technology powers the next generation of vision-enabled apps, robots, smart devices, and data analytics tools.
// Who we are
We are a small, highly technical team of vision engineers and researchers from the UPenn GRASP Lab, IIT Delhi, Microsoft, and iRobot. Python, CUDA, C++, and Ruby are our core languages. We have 10^~14 FLOPS of compute on-site regularly being maxed out by experiments and performance testing.
// Who you are
This is primarily a distributed systems and web services developer role but you will have computer vision responsibilities. Though we expect significant backend dev experience, you will learn the vision that you need on the job.
// More information
Check out more info at dextro.co/jobs and shoot us an email at jobs [] dextro.co if you're interested.
Our full API accepts the major video formats.
We've found that most of the value is in the latter. For example, our system helps answer:
1) on a publisher video server, which videos were about automotive?
Can we package those ads off to car brands?
2) how many people took photos of my brand's product on instagram
after our marketing campaign?
3) what were pedestrian traffic patterns like outside
our store based on the CCTV system?Dextro - Senior Backend Engineer (NYC full-time)
=======================================/
// What we do
Dextro is a venture-backed AI-as-a-service company building an API that recognizes brands, objects, and scenes in photos, videos, and live streams. Our technology powers the next generation of vision-enabled apps, robots, smart devices, and data analytics tools.
// Who we are
We are a small, highly technical team of vision engineers and researchers from the UPenn GRASP Lab, IIT Delhi, Microsoft, and iRobot. Python, CUDA, C++, and Ruby are our core languages. We have 10^~14 FLOPS of compute on-site regularly being maxed out by experiments and performance testing.
// Who you are
This is primarily a distributed systems and web services developer role but you will have computer vision responsibilities. Though we expect significant backend dev experience, you will learn the vision that you need on the job.
// More information
Check out more info at dextro.co/jobs and shoot me an email at jobs [] dextro.co if you're interested!
===========================
Dextro is a venture-backed AI-as-a-service company building an API that recognizes brands, objects, and scenes in photos, videos, and live streams. Our technology powers the next generation of vision-enabled apps, robots, smart devices, and data analytics tools.
We are a small, highly technical team of vision engineers and researchers from the UPenn GRASP Lab, IIT Delhi, Microsoft, and iRobot. Python, CUDA, C++, and Ruby are our core languages. We have 10^~14 FLOPS of compute on-site regularly being maxed out by experiments and performance testing.
This is primarily a distributed systems and web services developer role but you will have computer vision responsibilities. Though we expect significant backend dev experience, you will learn the vision that you need on the job.
We would be open to H1B visa and/or remote for the very best candidates.
Check out more info at dextro.co/jobs and shoot me an email at jobs [] dextro.co if you're interested!
At a high level, here's how we did it: 1) We're using the Twitter Streaming API to find every publicly accessible live-stream. 2) We extract the live stream using a version of PhantomJS that still supports Flash. 3) Each live stream is being sent to Dextro's livestream API endpoint, which streams back chunked JSON of what's happening in the stream in real time. (Check out some low level outputs at http://b.fastcompany.net/multisite_files/fastcompany/imageca...) 4) The results are aggregated and sent on a pub/sub socket to each client.
A background task crunches the live data into the "most viewed" and "most streamed" aggregate stats.