Ask HN: Who is hiring? (February 2018)

Contentful is Content Infrastructure for modern applications.

It allows you to create, edit & manage content in the cloud and consume and distribute it anywhere via API.

We raised our Series C lead by General Catalyst https://goo.gl/f8kQ3t

We have several positions open in Berlin, Germany or in SF USA https://www.contentful.com/careers/

Join a rapidly growing developer-centric company with lots of amazing international customers. We count people like Adam Wiggins (Heroku) and Francesco Cesarini (Erlang Solutions) as our advisors.

We are hiring for the following full-time positions:

- Director of Engineering - Data (Berlin): http://grnh.se/0qywah1

- Security Engineer (Berlin) - http://grnh.se/fg1ueb1

- Full Stack JS developer (Berlin) - http://grnh.se/4p87le1

- Group Product Manager (Berlin) - http://grnh.se/25mfo71

- Ruby Engineer (Berlin) - http://grnh.se/k6v7o11

- Team Administrator (Berlin) - http://grnh.se/phe8ky1

Hiring ML Product Engineers at 3 levels and many other positions.

We're a GPU-powered distributed DB and building the next naturally adjacent product line -- good ML and Data Science integrations to allow distributed model training well integrated with distributed data. Think large scale with high end hardware and distributed model training with real world data.

For company details, job description and qualifications, please see: http://smrtr.io/30N36A

At a high level: Python, TensorFlow, Mesos, Kubernetes, Neural Networks, and Product Engineering

SwiftDemand combines the concept of Universal Basic Income with the blockchain. It's SwiftDemand's mission to both create a platform where everyone in the world receives a small amount of income on a daily basis and build a currency that is used for day to day transactions in the same way you would interact with Amazon or Apple Pay.

In the month of January we have continued to grow very quickly from less than 30,000 users to over 85,000. So far we have distributed 165 million Swifts and we have a marketplace with over 600 submitted products. At this time SwiftDemand is not funded, however we are looking to raise money in a presale and already have committed interest from over 900 people. The presale process likely to be completed within the next 2 months.

There are two potential options: 1. We can begin talking now, and once SwiftDemand has concrete funding bring you on immediately following that. 2. Start before the presale has completed and be given a larger stake in both the currency and the company.

Whitepaper: https://github.com/swiftdemand/swiftprotocol

Other roles SwiftDemand will be hiring: Full Stack Engineer, Customer Support

If you are interested please email chris@swiftdemand.com

Ultimate Software has been building HR and Payroll software since 1990. We moved from selling licenses for on-premise installations to a cloud-based/subscription model in 2002. We are passionate about building awesome tools to make people's work lives easier. Our motto is People First, which describes how we treat our customers and our amazing company culture.

Ultimate Software is hiring for a large number of full time development positions, including:

- Software Engineers (Java) - Front End Developers, and more.

About 20% of our Product Development team works from home. We have an unbelievable benefits/401K package, so apply to Fortune’s #1 Best Tech Company to Work For in 2018 today!

Here is a link to our job postings: http://ulti.pro/29PRPAj

You can also email resumes to techcareers AT ultimatesoftware.com

Stan (http://mc-stan.org) is an open source probabilistic programming language and Bayesian inference toolkit that data scientists and applied statisticians across the world and many fields use to specify statistical models and fit them to data. Stan emerged from the research group under Andrew Gelman at Columbia, which is focused on state-of-the-art in Bayesian inference methodology and consulted on a variety of statistical problems in the social, biological, and physical sciences, engineering, sports, and business. Since its initial release, we’ve welcomed collaborators and contributors across the globe and have about 30 active contributors at the time of writing.

We’re looking for a tools and infrastructure developer who is interested in science and open source, is a self-starter and intrinsically motivated to help out, wants a flexible lifestyle, and would like to learn Bayesian stats and data analysis. Ideally you’d come in knowing a decent amount about either systems administration or programming (or both) and we would teach you about statistics. We’re looking for help with the following problems initially: * Streamlining installation for our R and Python interfaces for scientists on Windows and Mac, perhaps creating installers for each platform * Maintaining and improving our continuous integration infrastructure (currently Jenkins, Travis, AWS) * Bringing the PyStan interface up to feature parity with RStan and improving both of them (Python) * Higher order autodiff test framework and infrastructure (C++)

We expect that you will need to spend a significant portion of your time on at least some of these problems at first. Beyond that, there is much work to be done on Stan as an ecosystem. For example, we could also use help with the following key underserved areas of the project: * Profiling and performance benchmarks and improvements * Various refactorings, mostly in C++ * Pedagogical materials * GPU and distributed computation support

There are also many other ways to improve Stan that could use helping hands: * Stan 3.0 language and/or compiler rewrite * CloudStan * Graphical modeling language transpiler * New algorithm research implementations * Anything from the list here: https://github.com/stan-dev/stan/wiki/Longer-Term-To-Do-List

Links to some Stan team outputs and other Stan-related resources: https://github.com/stan-dev andrewgelman.com http://mc-stan.org/users/documentation/ https://github.com/stan-dev/stancon_talks great intro Bayesian analysis book: http://xcelab.net/rm/statistical-rethinking/

To apply, email Sean Talts, contact info here: mc-stan.org/about/team/