Ask HN: Who is hiring? (September 2017)

Clover is building the next generation of health insurance by using data to drive improvements in our members' health.

Clover's Data Science team is charged with leveraging our data— our most important asset — to generate value for our members. From understanding how the member experience impacts clinical outcomes to making our home visits more efficient and effective, our team pushes out insights central to executing on our core mission. And our impact is tremendous: you'll be able to point to one of our members and say, "I helped make that person's life better."

We’re looking for Data Scientists to help us build a revolutionary new health care company.

As a Data Scientist, you will:

* Partner with Product and Clinical teams to define criteria and measure success of new initiatives.

* Empower our operations staff to understand relevant data, and how it should impact their decisions.

* Build models, tools and validation processes that help Clover translate insights into action at scale.

* Determine priorities by estimating the potential impact of projects.

* Acquire and bring structure to data so that it can be used in our reports and data apps

Apply here: https://www.cloverhealth.com/en/about-us/job-opening?gh_jid=...

We're a (human-assisted) AI sourcing platform that delivers great results (customer quote: "I'd have a panic attack if you guys stopped existing"). We make it dramatically faster and easier for great companies to hire great people. Our mission is not just to fix hiring, but to fundamentally change the way that human mental effort is allocated.

As part of the most recent YC S17 batch, over the past 3 months we grew our revenue 20x (to over $1.1M in annual run rate) with only 3 engineers, and last week raised millions from some great investors at one of the highest ever valuations coming out of YC (not yet announced). One founder previously sold a company and is a published machine learning researcher; the other was Chief of Staff at Dropbox, and many on our team are from other great organizations (Google, MIT, McKinsey)

We have a real business, customers, revenue, crazy growth, funding--and a ton of work to do. We have interesting machine learning problems that are core to our product, and a laundry list of high-leverage features for you to work on :)

Position: Python Engineer (senior and junior positions open)

Our stack: Python (Django, nltk), AWS (S3, PostgreSQL), Javascript (React)

Qualifications:

- Do you love programming, working with a scrappy team, and shipping tons of code quickly? - Are you interested in solving real ML problems and collecting more data than Github, Twitter and StackOverflow combined? - Are you empathetic, highly systematic, intensely driven, and intellectually curious? - Do you care about improvement at both the individual and global scale?

Then at least say hi :)

email: josh@sourceress.com

At Payment Rails we're developing the next generation of payment processing engines. This allows our customers to pay their suppliers (contractors, vendors, influencers) around the world through simple integrations with their business systems. We're an API first platform where our customers can integrate quickly with everything from QuickBooks to their Mobile application.

We're looking for people to fill positions in engineering in both the front end and back end teams.

* Front End - Help us build powerful dashboards and integrations for our customers in React.

* Back End - We're building a scalable and reliable API platform for banking, in TypeScript on AWS.

We're based in Montreal Canada, with offices near the Atwater Market.

Contact me for more details: david@paymentrails.com

Ansaro helps enterprise users make better workforce decisions by applying machine learning to their untapped employee data. We're starting with hiring, where we help managers choose the job applicants who will actually perform best. In our first 6 months, we've signed up 8 large enterprise clients and assembled proprietary data on 100,000+ employees.

As Ansaro's first engineering hire, you'll work closely with our two technical founders to build an enterprise-grade web application on top of our existing machine learning platform. You should have experience building responsive web interfaces that help users understand complex data. (Frontend skills: Angular and/or React, Redux, HTML, CSS; Backend skills: Python, Node, and/or Ruby)

Email us directly at jobs@ansaro.ai, or find more info on AngelList https://angel.co/ansaro/jobs/265096-full-stack-software-engi...

GoCardless is building a payments network for the internet. Since 2011 we've been focused on simplifying Direct Debit for small and medium companies (who previously had no access to it) and we're now expanding to serve the largest companies (think newspapers, utilities) and connect with existing payment systems in countries all over the world. We already support the UK and Europe and are aiming to expand to more countries over the next year.

As an engineering team at GoCardless we care most about stable, reliable, understandable code. We rely on testing and code review and a culture of frequent constructive feedback. We define and manage our own roadmap and run projects in whatever way works best for us.

Our stack: Rails, React, Postgres, Elasticsearch, Docker, Chef. We also have a bit of Go and Python knocking around.

We love learning new things and contributing back to the community. We open source everything we can[1] and regularly host meetups and hackathons at our wheelchair-accessable office in Angel. We have a weekly bookclub within the team and give internal (and external) talks about things that interest us.

Interview process: an intro call, one coding challenge, then a couple of onsite interviews (pair programming and some chats - no whiteboards!)

For more info and to apply: https://gocardless.com/jobs. If you've got any questions, drop me an email (it's in my profile).

[1] Notable examples are Statesman (https://github.com/gocardless/statesman) and Coach (https://github.com/gocardless/coach)