How does government influence finance? What government activities can move financial markets ? Which companies benefit from government activities and which are negatively impacted ? The Engineering News department is currently working on building new products to help financial professionals answer these questions.

Our team is working on the challenging problem of making sense of a rich set of Government Data from a Financial professional's perspective. To this end, we intend to apply Machine Learning and NLP techniques for Prediction, Sentiment Analysis, Entity Extraction, Document Clustering and other areas to this vast data set.

We’re looking for an enthusiastic, experienced Machine Learning Software Engineer who can take the initiative and lead Machine Learning efforts within our team. If you enjoy working with Data and like collaborating closely with business stakeholders, specialists and researchers, you’ll fit right in.

We’ll trust you to:

• Study disparate Government related data sets
• Study current ML and NLP infrastructure and research
• Identify ways to gather and build training data
• Research models, setup relevant experiments and prototype solutions in Python
• Implement and maintain performant, scalable and reliable production systems in C++
• Build intuitive and simple user interfaces for busy Financial Professionals

You need to have:

• 3+ years of software design and development experience with strong C++ skills
• 3+ years of Experience working on Machine Learning and NLP problems
• Experience working with Javascript
• Experience working with SQL
• Strong Computer Science fundamentals (algorithms and data structures)
• Experience developing multi-threaded applications
• Strong ability to design solutions to complex problems

We’d love to see:

• Experience in user interface design and development
• Experience in relational databases
• Experience developing in UNIX or Linux
• Experience in dynamically typed languages like Python, Lua
• Experience in search technologies like Solr, Lucene
• Experience working with US Government Data Sets

If this sounds like you, apply! We'll get in touch to arrange a phone interview if we think you're a good match for the role.