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Deep Learning Researcher - Intern

Seven Research · On-site

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Last seen by MeritLog September 12, 2026Source: GreenhouseSource version: greenhouse-job-board-v1

MeritLog read this listing from Seven Research's Greenhouse job board and last checked it on September 12, 2026.

Source: the employer's Greenhouse job board. Open the original listing for current details.

Job details

Work model
On-site
Salary
$200,000 – $300,000
Location
New York

Hiring context

How this role compares at Seven Research

Seven Research has 8 live roles in MeritLog’s catalog across 2 job families, and 4 of them are in data & analytics. 0 of those listings publish a pay range, a disclosure rate of 0%.

Counted across the job boards MeritLog tracks, at the time this page was served. Pay comparisons use only listings that publish a complete range in the same currency and period.

Job description

Why Work with Us Solve impactful problems. At Seven Research, our close-knit team unites brilliant minds passionate about pushing technological and scientific boundaries in the global markets. We provide state-of-the-art resources and cultivate intellectual freedom, enabling our people to develop groundbreaking solutions to the most complex challenges of our field. Our collaborative approach celebrates excellence from everyone, regardless of tenure. 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. Applicant Privacy Please review our Applicant Privacy Notice for information about how we handle candidate information. Accommodations If you need a reasonable accommodation to participate in any part of our application or interview process, please contact careers@sevenresearch.com. We’ll work with you to support your participation. 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 careers@sevenresearch.com.

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