Ask HN: Who is hiring? (July 2018)

Picnic's mission is to structure the world's medical data to make it useful. We work directly with patients to collect, digitize, and manage their complete medical records, giving them with control over their care through a personal health timeline. We do the dirty work of fetching and parsing any record from any doctor, anywhere in the US. Beyond serving patients directly, we partner with biotech, genomics, and pharma companies who sponsor PicnicHealth accounts for research volunteers. Through this work we’re building data sets that power cutting edge medical research. We’re going through a period of extreme growth — on track for 20x over the next year, coming off our recent $1M finish in Google Cloud’s Machine Learning Startup Competition.

Our stack is React/Redux, Node, Python, Keras, PostgreSQL, Kubernetes.

Learn more at https://team.picnichealth.com/jobs

Academia.edu is addressing two problems:

- Open access. The goal here is to put every academic pdf ever written on the internet, available for free.

- Robustness. The goal here is to produce a set of signals around any given academic paper that indicate how robust the paper’s claims and findings are.

It has emerged over the last few years that 65-90% of the academic literature is not reproducible. What this means is that if you try to reproduce the experiments described in a paper, 65-90% of the time you will not get the same findings. This is known as "the reproducibility crisis”. Peer review is not a robustness filter; we need a separate filter to indicate robustness.

With regard to open access, Academia allows academics to upload papers to Academia, and make them freely available. Academics have uploaded about 19 million pdfs to Academia.edu. About 30 million people come to Academia each month to access and share papers.

With regard to robustness, we think the way to build a robustness layer on top of papers is a) to mine the existing graph of citations for commentary and (b) crowd-source commentary/peer review from the academic community.

Academia has built a recommendation system which is the basis of our approach to (b), and a citation graph infrastructure that is the basis of our approach to (a). We believe that addressing robustness is a challenge and an opportunity. We need mission-driven engineers to come and help us.

We have raised $33 million from Tencent, Khosla Ventures, Spark Capital, and True Ventures. The company is profitable off a premium subscription model. Bijan Sabet from Spark Capital writes "We believe open science is really important. We believe Academia.edu is going to have a profound impact on the world."

We are looking to hire full stack software engineers, product managers, and data scientists. Technologies we use include Ruby, Rails, Postgres, DynamoDB, React. Our office is in downtown San Francisco. For more information, visit http://academia.edu/hiring.

If you are interested to learn more, please email the CEO, Richard Price, at richard [at] academia.edu

SoPost is on a mission to build the world's best product sampling platform, and we are hiring into our platform team. We are currently seeking engineers (design, operations and programmers) to expand the team to help with the growth of our business.

We use Elixir / Elm / Python / Rust / Postgres / GraphQL / Kubernetes, but you don't necessarily need to be familiar with any of these...we'd like to speak to you if you're interested generally in functional programming.

Check out https://jobs.sopost.com/ or email me directly at mstill@sopost.com.