Machine Learning Researcher - Intern

Job Description

Researchers are responsible for applying, adapting, and extending existing results in the broad field of machine learning, while also conducting novel research as required. We are interested in all aspects of machine learning, including predictive modelling, clustering, time series analysis, natural language processing, and computer vision. Successful researchers manage all aspects of the research process, including methodology selection, data collection and analysis, implementation and testing, prototyping, and performance evaluation.

Some successful researchers have joined us from similar backgrounds at other firms, while others have come from related fields or directly from academia and have thrived with hands-on guidance from our large team of experienced portfolio managers and researchers. Our most exceptional team members combine strong technical skills and a passion for problem solving with an intense curiosity about financial markets and human behavior.

Desirable Candidates

• Students enrolled in a PhD program in machine learning, computer science, statistics, or a related field
• Superb analytical and quantitative skills, along with creativity
• Demonstrated ability to conduct independent research utilizing large data sets
• Passion for seeing research through from initial conception to application
• Curiosity about financial markets
• Strong scientific programming skills in Python, R, or Matlab
• Empirical, detail-oriented mindset
• Sense of ownership of work, able to work independently and within a small collaborative team

We seek exceptional colleagues with unparalleled passion. To make your resume stand out, share your exceptional personal achievements, even if unrelated to finance. We also welcome details about specific engineering or data projects you have worked on outside of school or as part of your curriculum. If you are proud of your work, we want to hear about it. In addition to exceptional statisticians and engineers, we collaborate with talented musicians, writers, mathematicians, and founders of non-profits; we would love to learn more about what excites you.