where is who is hiring?
#1 of 3
[ original post ]
We're a small team that is having a huge impact on the mass production of Apple's products.
If you're an expert in Go or PostgreSQL (ideally both), we'd love to talk to you. But perhaps even more importantly, you should be a good communicator and fast learner. Relocation is possible. My e-mail is in my profile.
You might also enjoy enjoy this recent blog post of mine that gives you a small glimpse on the kind of things my team is up to: http://felixge.de/2017/07/27/implementing-state-machines-in-... (The example is not the problem domain we're working in, it was made up for the post)
#2 of 3
Udacity's mission is to democratize education. We're an online learning platform offering groundbreaking education in fields such as artificial intelligence, machine learning, robotics, virtual reality, and more. Focused on self-empowerment through learning, Udacity is making innovative technologies such as self-driving cars available to a global community of aspiring technologists, while also enabling learners at all levels to skill up with essentials like programming, web and app development.
Tech: Docker/PostgreSQL with Golang, Python, Node.js, React, Java, Ruby, Haskell depending on team.
All open positions: https://jobs.lever.co/udacity?lever-via=24S9Caa8CS
#3 of 3
Factual is currently hiring engineers and data lovers of all levels in Los Angeles and Shanghai.
Factual’s location platform enriches mobile location signals with definitive global data, enabling personalized and contextually relevant mobile experiences. Built from billions of inputs, the data is constantly updated by Factual’s real-time data stack. We were named one of "50 Disruptive Companies in 2013" by MIT Technology Review. We have a terrific team that is still fairly small and an incredible CEO who was previously the co-founder of Applied Semantics (which was bought by Google and became AdSense). Factual has venture funding from Andreessen-Horowitz and our partners/customers include Bing, Apple, Facebook and Groupon.
There are many challenging problems to work on at all layers of the stack: data cleaning and canonicalization, storage, deduping, serving, APIs, improving data using machine learning, etc. A great example is one of our most recent products, Geopulse Audience, which stands at the intersection of high quality places data and large scale analysis of user geo-data: http://www.factual.com/products/geopulse-audience . If you love data, Factual is the place to be. Our main criteria are that you're smart and get things done, but you'll get bonus points for experience with Clojure (http://www.factual.com/jobs/clojure), machine learning, NLP, algorithm design, or Hadoop/Spark.
You can email me personally at email@example.com, or view our job postings here: https://www.factual.com/jobs#openings