Ask HN: Who is hiring? (November 2017)

At FAIRTIQ we are aiming to simplify ticketing solution for public transport. FAIRTIQ has been successfully in use since 2016 in a growing number of tariff communities across Switzerland.

We are currently looking for a data science intern / data scientist to join our research team. Details about position here: https://fairtiq.com/perch/resources/jobpostingdatascience.pd... More about the company: https://fairtiq.com

At Zemanta, we're building the most advanced native advertising platform in the world. Our recent acquisition by Outbrain is a testament to our cutting-edge tech and the strong team that built it. Despite the acquisition, Zemanta lives on as a standalone product built by a small (Backend engineer to grow our RTB (real-time bidding) infrastructure that currently processes 100k bid requests/second (Go, Python, Kafka, Aerospike, Hadoop, Redshift)

Supply integration engineer to help integrate new ad exchanges into our real-time bidding system (Go, Python, Kafka, Aerospike, Hadoop, Redshift)

Data scientist to work with the large volume of data and optimise our prediction algorithms (stack: Python, Jupyter, Go)

Devops engineer to scale our current infrastructure and help migrate it to Outbrain's data centres (AWS, GCP, Docker, Kafka, Hadoop, Chef)

More info & apply here: https://zemanta.workable.com/

We're a medical technology company using machine learning and massive amounts of patient data to improve how the healthcare system works. Our tools process millions of patient records to predict what kinds of medical risk and problems will befall a patient and other medically relevant parameters. Join us to learn about the many intricacies of medical data, how to handle very large volumes of patient records, and how to build pipelines to operationalize cutting-edge machine learning models.

Data Engineer: We work mostly in Python, Scala with some Java here and there. Main technologies include Spark, TensorFlow and Hadoop among others. We're looking to build more robust pipelines to transform raw, often human-entered data into standards-compliant forms, and to deploy a wide variety of machine learning/AI models in a scalable, traceable manner.

Interview Process:

1.) Phone screen for resume 2.) Short take-home problem 3.) Onsite with us

Odds and ends: mostly onsite in lovely downtown San Mateo but flexible hours. Free lunch, work from home Wednesdays, ~25 employees, growing in a field that really affects people's lives. Diverse work environment with good, friendly people.

Contact Nicolas at ntilmans at lumiata.com

Hey folks, I'm the Co-founder & CTO of SORU. We provide data analytics as a service by leveraging our AI-powered tools and in-house analyst team.

We integrate with customers' data sources in a few minutes. Users interact with our product in plain English as if they are talking to a human analyst. We generate detailed answers, reports, and insights for them with our AI assisted analyst team. Our main differentiator from traditional chatbots is we make sure our customers get the answers they need as long as we have access to the relevant data.

Our stack consists of Python, Django, React, PostgreSQL, Docker, Kubernetes and we are hosting on GCP. From a technical perspective, we are looking for senior full-stack engineers who are comfortable building a scalable system ground up. Familiarity with a few of these systems above is desirable. From a cultural point of view, we would like to work with builders who are eager to learn and jump into any task that needs to be done. This could vary from data engineering to frontend development to building natural language understanding flows and conversational interfaces. We are at a very early stage, so you'll have a huge impact in the technology as well as the culture. Currently, we already have a working product with several pilot customers. We will be integrating with new data sources in the next few months.

Feel free to email me at ertan@soru.ai.