Deep Learning Researcher - Intern

Why Work with Us

Your Role

Our Deep Learning Researchers expand the boundaries of quantitative finance through the development of advanced deep learning models. You will conduct rigorous, systematic research to pioneer advanced methodologies, uncover sophisticated insights, and implement innovative approaches within our teams.

What We’re Looking For

We seek talented and knowledgeable problem-solvers with strong backgrounds in deep learning to come build with us. No financial knowledge is expected. Deep Learning Researcher candidates should have demonstrated strong applied research and critical analysis skills. We value team members who communicate clearly and can exercise ownership over projects. If working on challenging quantitative problems in a close-knit, research-driven environment excites you, we’d love to get to know you.

The ideal candidate will possess most of the following:

• PhD degree in computer science or a related field


• Mastery of deep learning techniques and proven track record of building sophisticated predictive models using deep learning


• Publications in relevant journals and/or conference presentations


• Strong programming skills, including mastery of Python


• Strong problem-solving skills and research acumen


• Strong communication skills to articulate complex technical concepts


• Experience working with large data sets and computationally intensive projects


• Experience with high-performance computing

Job Compensation Range

The base salary range for this role is prorated and based on a full-time salary range of $200,000 - $300,000. This does not include other forms of compensation and benefits that are part of Seven Research’s comprehensive package. We will provide additional detail about compensation and benefits during our hiring process.

We are an equal opportunity employer and prohibit discrimination and harassment without regard to race, religion, age, sex, or any other characteristic protected by law.

If you have any questions, please contact us at [email protected].