Research Scientist: Deep Learning for Global Markets

Jump Trading; New York (NY); On-site; USD 200,000 - 350,000; Full time

Benefits offered by this job

Discretionary bonus

Medical, dental, and vision insurance

HSA, FSA, and Dependent Care options

Employer Paid Group Term Life and AD&D

Voluntary Life & AD&D insurance

Paid vacation plus holidays

Retirement plan with employer match

Paid parental leave

Wellness Programs

Job summary

Jump Trading Group is seeking research scientists to apply deep learning to state-of-the-art capabilities in complex domains. You will lead projects from concept to production, improving models, tools and infrastructure while collaborating with ML, engineering and research teams.

Ideal candidates bring 5+ years of DL experience, strong math background, and a track record of publications at major venues. English communication is essential, with a focus on reliable, collaborative work.

Qualifications

• 5+ years of experience developing DL systems with measurable impact.
• Proficiency in Python and/or C++.
• Strong foundation in mathematics and statistics.
• PhD or Master’s degree in Computer Science, Mathematics, or related field.
• Excellent written and verbal communication in English.
• Strong publications record at ICML, ICLR, NeurIPS, AAAI, KDD or equivalent.
• Reliable and predictable availability.

Responsibilities

• Apply deep learning to achieve state-of-the-art capabilities in complex domains.
• Implement open-ended research from concept to production and iterate.
• Improve model design, tools, and infrastructure.
• Collaborate across teams in ML, engineering, and research.

Skills

Team collaboration

Creative thinker

Self-motivated

Excellent communication

Strong publications record

Reliable availability

Education

PhD or Master’s in CS/Math/related

Tools

Python

C++

Job description

Jump Trading Group is seeking research scientists to apply deep learning to state-of-the-art capabilities in complex domains. You will lead projects from concept to production, improving models, tools and infrastructure while collaborating with ML, engineering and research teams.

Ideal candidates bring 5+ years of DL experience, strong math background, and a track record of publications at major venues. English communication is essential, with a focus on reliable, collaborative work.