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Jump Trading

Research Scientist/Research Engineer, Reinforcement Learning

Jump Trading · Chicago, New York, London

Posted 29 days ago · Previously reposted

or apply directly on Jump Trading's site. We never take the application ourselves.

Is this posting real?

This role has been open
29 days
Jump Trading's roles stay open a median of 45 days
Reposted
Yes
taken down and listed again at least once
Salary listed
No
2% of Jump Trading's roles list one
Ghost-job risk at Jump Trading
high
87 stale, 3 reposted of 109 open
Hiring momentum
128 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-09-17

Measured from postings appearing on and disappearing from Jump Trading's own greenhouse board since 2026-08-03. Full hiring picture for Jump Trading.

About this role

As a Research Scientist/Research Engineer specializing in reinforcement learning, you will conduct original research and develop systems that apply reinforcement learning to financial markets. Your role involves designing and evaluating policy architectures, integrating alpha signals, and ensuring simulation fidelity against live trading. You will also build tools for processing large volumes of market data and communicate your findings to both technical and trading teams, with a focus on impactful innovations in ML-powered trading.

Our read on this posting3.8out of 5
benefits
5/5
freshness
4/5
career value
5/5
role clarity
5/5
pay transparency
0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Jump Trading as an employer.

What you need

  • 5+ years of experience developing reinforcement learning and/or deep learning systems with measurable impact in industry and/or academia
  • Depth in reinforcement learning, including experience designing reward formulations, policy architectures, and evaluation
  • Proficiency in Python and/or C++
  • Strong foundation in mathematics and statistics
  • PhD or Master's degree in Computer Science, Machine Learning, Robotics (or a related subject)
  • Strong publication record at ICML, ICLR, AAAI, NeurIPS, CVPR, or equivalent

Nice to have

  • Familiarity with ML libraries/frameworks such as PyTorch (preferred), TensorFlow, and/or JAX
  • Creative thinkers who are driven, self-motivated, and eager to solve challenging problems
  • Reliable and predictable availability

What you get

  • 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

Worth weighing

  • Annual base salary range is $200,000 — $350,000 USD, which may vary based on experience and negotiation.
  • The role requires a strong publication record, indicating a focus on research output.
  • The position emphasizes collaboration, which may require strong interpersonal skills and adaptability.

Summarised from Jump Trading's posting. Read the full original.

Listed by Jump Trading on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.

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