Think Empire > Careers

ThinkEmpire is an engaging place to work.  Research goals are driven by the interests of the team.  We are actively hiring people with two parallel skill sets: a passion for an academic niche and the ability to contribute to the group’s core research program.  The core research program is in some sense a collection of tools that makes collaboration possible and easier.  Individual passions spawn research projects that become part of the core software.  The listings below are for the research team’s most pressing openings.  Please email cover letters and questions to



Core Developer (Internship)

Start date: October 1st, 2015

Resumes accepted until September 15th, 2015

The Core Developer Internship Program aims to bring talented academics into the group while giving them the resources and time to become better programmers. In contributing to our core software, a potential hire learns the necessary skills to write production quality Python code. The core software is modular in design and potential hires work on projects that focus on their area of expertise. Submitted code is reviewed and ultimately added to our codebase.


The 3-month program lasts from October 1st to January 1st and is setup as an introduction to the company and the tools we’ve developed. We want talented people who have an area of expertise that can drive the focus of our research initiatives. The work is remote for 10 hours a week, of which 2 hours are a code review. Interested candidates must be able to visit the group’s headquarters every other week for an in-person code review.


Ideal candidates have expertise in machine learning, artificial intelligence, statistical methods, network analysis, mathematical physics, spatial econometrics, or neuroscience as evidenced by a publishing track record.



Researcher – Physicist

Start date: October 15th, 2015

Resumes accepted until October 1st, 2015

Think Empire seeks a mathematical physicist to join our team working initially to test a demand-oriented equilibrium model of asset prices. This full-time position would begin by exploring the flow dynamics of real estate transactions, and transition into researcher-initiated projects.


Ideal candidates hold an M.S. or Ph.D. in Physics and have expertise in Monte Carlo methods, turbulence, or fluid dynamics as evidenced by a publishing track record. Experience with Python is ideal, but not required.