Ask HN: Who is hiring? (May 2017)

Please lead with the location of the position and include the keywords REMOTE, INTERNS and/or VISA when the corresponding sort of candidate is welcome. When remote work is not an option, please include ONSITE. A one-sentence summary of your interview process would also be helpful.

Submitters: please only post if you personally are part of the hiring company—no recruiting firms or job boards.

Readers: please only email submitters if you personally are interested in the job—no recruiters or sales calls.

You can also use kristopolous' console script to search the thread: https://news.ycombinator.com/item?id=10313519.

Hey, a friendly reminder. I’m parsing the thread, all job offers added here are also available on the map on

https://whoishiring.io or just HN items https://whoishiring.io/search/36.0440/-90.8984/4?source=hn

If you post here, please use the below format to help me with parsing. If you won’t, no worries, I will do my best to get all the things right.

  1) {company} | {job title} | {locations} | {attrs: ONSITE, REMOTE, INTERNS, VISA, SALARY, company-url}
  Google | Software Developer | SF | VISA https://google.com
  DuckDuckGo | Software Developer | Paoli PA | REMOTE, VISA, SALARY:100k-120k
  Facebook | Web-developer | Zurich | SALARY:120k CHF 
  Google | Site Reliability Engineer | London | SALARY:120k GBP, VISA, REMOTE

or

  2) {company} | {job title} | {location}
  Google | Site Reliability Engineer | Sydney
  Facebook | Web-developer | Zurich

I’m using this regex to test the first line, you can test it here https://regex101.com/r/relwQD/3

  \s*(?P[^|]+?)\s*\|\s*(?P[^|]+?)\s*\|\s*(?P[^|]+?)\s*(?:\|\s*(?P.+))?$

Check bellow for the SALARY regex.

  SALARY:(?P\d+(?:k|K)?)(?:\s*\-\s*(?P\d+(?:k|K)?)?)?(?:\s?(?P[A-Z]{3}))?

and you can test it as well https://regex101.com/r/SRWkMz/2/

Pivotal | Engineers, Designers, Product Managers, Pre/Post-Sales Engineers, Ops, Sales, Admin | Locations worldwide | ONSITE

Pivotal's goal is to transform the way the world builds software. We mean it.

We value aptitude over alma mater, empathy over a list of APIs. It doesn't matter whether your resumé says PHP or PhD: if you're smart, empathetic and know some stuff, we want to work with you.

We have many offices worldwide including SF, NYC, Toronto, London, Palo Alto (pivotal.io/locations) and more coming. We're broken into three main divisions: Pivotal Labs (that Pivotal Labs), Cloud R&D and Big Data.

-- Pivotal Labs helps clients to become better at product development. For engineering we are religiously lean and agile. We pair program and TDD every line of code from the outside. Our product managers are fantastic at keeping products sharply focused, our designers are masters from users to pixels.

-- Cloud R&D is where we build the best cloud platform available: We're the majority contributors to the Cloud Foundry project. Our distribution has the fastest-growing sales of any opensource product ever and it's still zooming up and to the right.

Except for upstream code, every line is pair programmed and TDD'd. We dogfood the cutting edge of the technology on our own commercial cloud (Pivotal Web Services).

Cloud R&D is also responsible for Pivotal Tracker and Spring.

-- Big Data is our suite of battled-hardened products, now open sourced. Greenplum tackles massive datasets with the comfort of PostgreSQL. Apache HAWQ (incubating) brings Greenplum's distributed query planner to Hadoop. Gemfire, donated as Apache Geode, is an in-memory distributed grid with years of high performance in high-stakes systems.

-- Generally

At our offices we have free breakfast, weekly tech talks, excellent benefits and competitive pay. Ping pong isn't mandatory, but it's popular. I think west-coast ping pong is harder to beat, but east-coast style is more entertaining to watch. The NYC beer fridge has more IPAs than I prefer but I guess that's life in paradise.

-- Applying

To see open jobs and apply, see: http://grnh.se/xiy346

You can also email me at jchester+hn-may17@pivotal.io if you have questions. I won't reply to copypasta. I may not be able to reply immediately, as I am just an engineer here. These help me earn a referral bonuses, which I appreciate. I can give the non-referral link upon request.

Arundo | Multiple roles | Houston, Oslo | Full-Time | ONSITE

Arundo is a startup building a data platform for industries with sensor-laden equipment, such as oil and gas, shipping, renewables, utilities, and transportation. Our platform and associated tools allow customers to easily create streaming data pipelines and build and deploy machine learning models. We are a distributed team with offices in Houston, Texas, Oslo, Norway, and Palo Alto, California and work with customers around the world.

We are currently expanding our team by more than 50% and hiring for roles across the company, including:

- Data scientists (Houston and Oslo)

- DevOps (Houston)

- Full-stack developers (Houston and Oslo)

- UI/UX (Houston)

- Technical project managers (Houston and Oslo)

- More…

All positions are onsite in the locations specified.

Other things to know:

- We welcome candidates from all backgrounds and demographics.

- Arundo is a fast growing startup with constantly changing needs.

- We value independent workers and nice, enthusiastic people, who happen to be very good at what they do.

Please check our website for a full listing: https://www.arundo.com/about#hiring

Quora | ML Engineer | Mountain View ML, Python, C++, TensorFlow, Spark, Information Retrieval

Quora’s mission is to share and grow the world’s knowledge. We are an internet-scale Library of Alexandria, a place where people go to learn about anything and share everything they know.

At Quora, we use Machine Learning in almost every part of the product - feed ranking, answer ranking, search, topic and user recommendations, spam detection etc. Within the past few months we released a large duplicate question dataset [1], built out Quora on Alexa and Google Home [2] and linked Quora Topics to Wikidata [3].

As a Machine Learning expert, you will have a unique opportunity to have high impact by advancing these systems, as well as uncovering new opportunities to apply Machine Learning to the Quora product. As a ML Infrastructure Expert, you will play a key role in developing tools and abstractions that our other developers would build on top of.

Machine Learning Engineers: https://jobs.lever.co/quora/4ea5b0e2-b570-439f-a3a1-1f301042... ML Infrastructure Engineers: https://jobs.lever.co/quora/5ae871e6-12a7-40d2-829a-64041e24... Product Infrastructure Engineer: https://jobs.lever.co/quora/37d396ed-a089-4cc2-a817-8ab65fb6...

Please submit online at the link above and mention my HN user name. Or email "%sn@quora.com" % my_HN_user_name

[1] https://data.quora.com/First-Quora-Dataset-Release-Question-... [2] https://blog.quora.com/Introducing-Quora-on-Voice [3] https://blog.quora.com/Announcing-Wikidata-References-on-Top...