Ask HN: Who is hiring? (December 2018)

Rival is building the operating system for the world's biggest venues. Ticketing is just one aspect of our platform, and by managing the inventory and truly digitizing the ticket by linking access to biometrics, we will be able to drive commerce, intelligence about fans, and enhanced security.

We have extraordinary engineers, PMs, and designers from the best technology companies in the world, who are working together to solve the many challenges of bringing millions of fans together for the music and sports events that they love. With investment from Andreessen, Upfront, sports teams from every major league in the US, and the leaders of Instagram, Twitter, Slack, and Stripe, we have the financial runway to build this platform the right way, from the ground up. We have revenue on the horizon and our first clients will be going live next year.

Our stack is mostly Python 3 and ES6+/TypeScript/React Native backed by AWS Lambda, Fargate, Kinesis, SQS, Aurora, and Dynamo. We're heavy AWS users with all infrastructure managed by Terraform. Local development and CI use Docker extensively. We're interested in engineers with expertise in these or similar technologies, or with background in distributed systems in general. We're especially interested if you're also passionate about building things, enjoy continuing to learn and grow, value open communication, and strong collaboration.

This is the opportunity you have been waiting for - hard engineering problems to solve; the conditions to move quickly and do your best work; to push yourself while having impact; to work with other exceptional people; and the chance to be a part of the early team that is building the technology platform that will change an industry.

Read more and apply via https://rival.co, or fast-track your application by completing the short CTF starting at https://hacker.rival.rocks.

Feature Labs is changing the way companies create new machine learning products and services. We make a web app and developer API to automate time-intensive and error-prone parts of the data science process such as feature engineering. Our customers love our products because they make machine learning easier to use.

Currently, our stack is mostly Python on the backend (pandas, django, sklearn), React for the front end, and AWS and docker for deployment. Above all, we prioritize the ability to choose the right approach to solve a problem.

If you're interested in getting hands on with our product, check out our open source library, Featuretools https://github.com/featuretools/featuretools/.

Apply at https://www.featurelabs.com/careers/

Asset Mapping | QA (+ Selenium) | London (United Kingdom) | Full Time | Onsite

At Asset Mapping, we help make smart buildings that are cheaper to operate, kinder to the environment and healthier to work in. For more details please see https://assetmapping.com and https://www.linkedin.com/company/asset-mapping/

We are looking for python back-end developer and QA (preferably with experience in writing Selenium tests) to join our scrum team. You will have opportunity to work with cutting edge of IoT sensors industry and tackle challenges related to processing of time series data.

Tech Stack: Python, Postgres, Distributed systems, Docker

If this sounds interesting to you please send your CV to email address which you get by running following in console:

    #!/usr/bin/env bash
    # Run below if you are on Linux
    echo Z3JlZ0Bhc3NldG1hcHBpbmcuY29tCg== | base64 -d
    # Run below if you are on Mac
    echo Z3JlZ0Bhc3NldG1hcHBpbmcuY29tCg== | base64 -D

Stay Wanderful is a multi-sided platform with a new take on loyalty. We connect consumers, hotels, and merchants, driving business growth for our partners through instantly gratifying, personalized rewards via machine learning

We're pre-series A, which translates to small size and big impact. We're looking for a few more software engineers to help out with these mission critical projects: dynamic content optimization, personalization, machine translation, self-serve design editors, email marketing capabilities, data engineering. We operate in a microservices, machine learning friendly architecture, with a handful of django rest apps, Vue 2.0 front end, and scalable distributed data processing apps on AWS.

Apply here: https://hire.withgoogle.com/public/jobs/staywanderfulcom/vie...

We're tackling exciting technical challenges and building offerings relevant to interesting real-world problems in a variety of fields. We have particular strengths in dispersed computation, protocol design, and deep learning.

We're currently most interested in engineers with solid experience in Rust, Haskell/Idris, or graphics programming. We're also open to enthusiastic developers or researchers who might lack this precise experience but are eager and able to learn. We welcome internship/fellowship interest from postdoctoral scholars or senior graduate students.

We're additionally interested in chatting with people with a scientific or engineering background who are interested in scientific and technical writing.

We do not presently have openings for anyone still working on their undergraduate degree or for fresh graduates.

Send your resume to info@onai.com and we'll let you know if there's a potential fit.