Research Scientist/Research Engineer | Deep Learning

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 committed to world class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by incenting collaboration and mutual respect. At Jump, research outcomes drive more than superior risk adjusted returns. We design, develop, and deploy technologies that change our world, fund start-ups across industries, and partner with leading global research organizations and universities to solve problems.

The quantitative trading teams at Jump Trading probe and examine the global markets, seeking to understand the complexities of various traded products and exchanges. They leverage their impeccable statistical analysis, machine learning and deep learning skills, using the results of their research to make forecasts and develop profitable predictive trading models.

What You’ll Do:

We are seeking research scientists with a demonstrated ability to apply deep learning to achieve state-of-the-art capabilities in complex and challenging domains. The ideal person for this role will be capable of implementing an open-ended research project from concept to production and continuously improving model design, tools, and infrastructure. Potential projects may target any area of the quantitative research and monetization process. We believe that successful research efforts require a fluid mix of skills including ML expertise, engineering pragmatism, statistics and market intuition.

Other duties as assigned or needed.

Skills You’ll Need:

• 5+ years of experience in developing DL systems with measurable impact in industry and/or academia
• Creative thinkers who are driven, self-motivated, and eager to solve challenging problems
• Proficiency in Python and/or C++
• Strong foundation in mathematics and statistics
• Ability to thrive in a collaborative, team-oriented environment
• PhD, or Master's degree in Computer Science, Mathematics, (or related subject)
• Strong publications record at ICML, ICLR, AAAI, NeurIPS, UAI, KDD, or equivalent
• Reliable and predictable availability
• Excellent written and verbal communication skills in English

Benefits

• Discretionary bonus eligibility
• Medical, dental, and vision insurance
• HSA, FSA, and Dependent Care options
• Employer Paid Group Term Life and AD&D Insurance
• Voluntary Life & AD&D insurance
• Paid vacation plus paid holidays
• Retirement plan with employer match
• Paid parental leave
• Wellness Programs

Annual Base Salary Range : $200,000 USD - $350,000 USD