Ask HN: Who is hiring? (August 2018)

In the past year and a half:

* 10k -> 600k users * 80k -> 500k monthly videos recorded

We are looking hire an engineer who will focus on the keys to unlocking long-term and sustained growth, monetization and platform penetration.

If interested apply at https://jobs.lever.co/useloom/3f000f59-aaa6-4c8c-82ff-63d81a...

At Petal, we’re making credit honest, simple and accessible. We use machine learning to analyze more data in our credit decisions, which means more people qualify for our card, even if they’ve never had credit before. And we use behavioral science and world-class product design to offer a simple, customer-centric product that’s engineered to achieve better financial outcomes -- with straightforward terms and no fees whatsoever. The result is an exciting new approach to credit that is radically expanding credit access and improve the lives of millions of consumers.

Please apply here: https://jobs.lever.co/petalcard

Quobyte is working on a file, block and object software storage system, which is built around a parallel file system core. Our customers use this data center file system for HPC clusters in industry and academia, container and OpenStack infrastructures, postproduction, origin and CGI clusters, and as a scalable backend for SaaS products.

We are currently looking for:

. Support Engineer - Berlin, Germany

. Sales Engineer - EMEA

. Sales Engineer - US West / Central / East

For detailed job descriptions please visit https://www.quobyte.com/careers.

Send your CV to work@quobyte.com.

https://angel.co/merchbar/jobs/29355-full-stack-software-eng...

Merchbar is the marketplace for music merchandise -- we help fans find merch from their favorite artists, and artists reach their fans. We power the merch listings inside Spotify (right next to concert tickets!).

We're looking for experienced full stack engineers with 5+ years of experience. Experience with our stack preferable, but not required. We're also looking for a full stack engineer who has experience with modern front-end frameworks (React/Vue/Angular), and would like to lead our development in that area.

Stack: Node (Express.js), Python (Flask), Postgres

Merchbar’s Engineers are the backbone of the company and each have a personal, direct impact on a product that supports hundreds of thousands of artists and reaches many millions of fans. All of our engineers contribute across the entire stack and develop through all stages of development from scoping and architecture to implementation, scaling and optimization.

→ If interested, please apply on AngelList or email jobs@merchbar.com

Our team is building a suite of machine learning tools to help solve problems in the life science space. This includes the classification of researchers and physicians to their scholarly research, predicting the altruistic activities of donors to non-for-profit foundations, and much more.

We're growing fast in a field that is also growing fast, so we're looking for people who want to grow fast too. We think an environment that is supportive, collaborative, and sophisticated is the key to making this happen.

We're working with technologies like Python, Scala, Spark, Docker, Elasticsearch, Kubernetes, Terraform and we're experimenting with many more. Our data science group is math-focused and loves deep learning, Bayesian modeling, but also good old-fashioned regression.

If creating foundational infrastructure in data science using the latest tools and techniques sounds appealing, we'd love to start a conversation. Email me: josh.geisler(at)h1insights.com

More info here: https://h1insights.com/