Ask HN: Who is hiring? (September 2015)

Ontoit is a technology startup founded and run by graduates from the University of Cambridge. We work on integrating large datasets into knowledge ontologies using machine-learning techniques and performing parallelised semantic search on big data. The end result of using Ontoit search engine is that meaningful relationships can be inferred between pieces of information. These relationships can be used to perform explicit semantic search through large amounts of data. The Ontoit search engine will assist industries in a variety of fields to find information and explore ideas in an integrative manner. In order to create the proposed search engine, we intend to combine five distinct fields in computer science: ontology engineering, machine learning, natural language processing, semantic search and distributed computing.

Ontoit will first focus on developing one application for the movie industry. Our first product will be a semantic search engine to traverse the corpus of movie information on the internet.

Here at Ontoit, we develop our entire backend in one programming language, Java. Spring framework forms the backbone of our web services. We develop knowledge representations using stacks of graph databases and technologies. Natural sentence queries are parsed through an engine built using Stanford CoreNLP. Computations are distributed to a cluster developed using Apache Storm. Data crunches for Machine Learning models are parallelised using Spark. We store our data in scalable, NoSQL Cassandra.

Our system architecture is designed in great detail with a high degree of modularity and scalability.

Ontoit is currently recruiting for multiple positions: Team Lead, Core Developer, NLP Developer, QA Developer. All positions are full time and we offer competitive salary + significant amount of equity.

Please find more details at: https://angel.co/ontoitholdings/jobs and apply directly at Angel.co or careers@ontoit.io

We're Runnable. We integrate with the development tools you’re already using, like GitHub and Slack, to automatically deploy commits and launch development/test environments. We're looking for experienced back-end engineers with a track record with Node.js and distributed systems. We're also looking for a strong DevOps candidate with solid AWS knowledge.

Back-End Engineer: https://jobs.lever.co/runnable/a8c0b879-fd98-4f5b-b0f8-ab50f... Lead DevOps Engineer: https://jobs.lever.co/runnable/e0db0f75-aa00-4d9b-9bbe-bbdca...

Opportunities: Backend Software Engineers (multiple openings) 3-5+ years of experience Must have CS Fundamentals (OOD/OOP, algorithms, data structures, problem solving, writing clean scalable code) Any open source technology welcome, as long as you are able to show that you have a strong grasp.

Email: mrrafael@audible.com

Audible.com (a wholly owned subsidiary of Amazon.com) is looking for dynamic and motivated software engineers to join its Technology group. As a member of the team you will have the opportunity to design and develop software that runs one of the core areas of Audible business.

If you are a sharp experienced software engineer with a creative edge, strong problem-solving skills, solid software development foundation and the desire to be an individual contributor to Audible’s next generation technology, we want to talk with you. Joining our team provides the unique challenge and opportunity to write software that benefits many customers around the world.

I expect you’ve heard of JPMorgan at some point, but probably aren’t familiar with Athena. We’re the bank’s in-house platform for cross-asset pricing, risk management, trade management, e-trading, etc.. There’s a core division (cleverly named “Athena Core”) of about 150 engineers which builds a platform and development libraries that are then used by over 5,000 developers throughout the bank.

The Core Analytics team currently has 8 members and is responsible for extending Athena to research teams and for reducing the gap between research and production use. To give a simplified example, our typical customer is a quant who might be attempting to create a new pricing model. Core Analytics would help him access relevant data sets, explore that data with a library of common statistical functions to, verify the new model with a back-testing framework, and then finally publish the model to production.

Python and C++ are the primary languages, but we’re open to considering exceptional developers with any background. Finance experience is certainly not required. Our two main offices are in NYC and London; we also have satellites in Tel Aviv, Tokyo, and Singapore.

Email Christine.h.ko@jpmchase.com to apply.