AI Research Scientist | Research & Development at Jump Trading

<p data-renderer-start-pos="1550"><span id="e84a3e78-75b9-4ad7-b42d-c530d03a534e" data-renderer-mark="true" data-mark-type="annotation" data-mark-annotation-type="inlineComment" data-id="e84a3e78-75b9-4ad7-b42d-c530d03a534e">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.<br><br></span>Our AI team is an R&amp;D group of quantitative researchers, engineers, and ML experts leading LLM research and applications at Jump. Our mission is to combine emerging techniques and original research to generate signals from unstructured data and to put frontier AI capabilities into the hands of the people doing the most demanding quantitative work in the world. Our remit is broad and growing, spanning model research, agentic systems, and the platforms that bring them into daily use, and we want our researchers and traders to experience these capabilities as a seamless and dependable extension of how they already work.</p> <p data-renderer-start-pos="326"><strong data-renderer-mark="true">What You’ll Do:&nbsp;</strong></p> <p data-renderer-start-pos="344">We are seeking research scientists with a demonstrated ability to apply machine learning to achieve state-of-the-art capabilities in complex and challenging domains. The ideal person for this role will be capable of leading an open-ended research project from concept to production: finding compelling problems well suited to current and projected LLM capabilities, collaborating extensively with trading teams to understand requirements and constraints, and continuously improving model design, tools, and infrastructure. Potential projects may target any area of the quantitative research process with the potential for firmwide application. We believe that successful research efforts require a fluid mix of skills including ML expertise, engineering pragmatism, and market intuition, and welcome all candidates who can demonstrate brilliance in one area, competence in a second, and enthusiasm for the third.</p> <p><span data-contrast="auto">Other duties as assigned or needed.</span></p> <p data-renderer-start-pos="1258"><strong data-renderer-mark="true">Skills You’ll Need:</strong></p> <ul> <li data-renderer-start-pos="1258">5+ year track record of creating ML systems with real metrics &amp; impact in industry and/or academia</li> <li data-renderer-start-pos="1258">Strong general ML background with some exposure to language modeling architectures (e.g. transformers, SSMs)</li> <li data-renderer-start-pos="1258">Solid development skills in Python and/or C++</li> <li data-renderer-start-pos="1258">Familiarity with ML libraries/frameworks such as PyTorch (preferred), TensorFlow, and/or JAX</li> <li data-renderer-start-pos="1258">Intellectual curiosity, versatility, and originality combined with a pragmatic outlook</li> <li data-renderer-start-pos="1258">Ability to reason through quantitative problems and communicate effectively with trading researchers</li> <li>PhD, or Master's degree in Computer Science, Mathematics, (or related subject)</li> <li>Strong publications record at ICML, ICLR, AAAI, NeurIPS, UAI, KDD, or equivalent</li> <li data-renderer-start-pos="1258">Reliable and predictable availability</li> </ul> <p data-renderer-start-pos="1840"><strong data-renderer-mark="true">Bonus Points</strong></p> <ul> <li data-renderer-start-pos="1840">Experience with HPC and distributed large model training</li> <li data-renderer-start-pos="1840">Experience with GPU performance optimization (CUDA or ROCm)</li> <li data-renderer-start-pos="1840">Experience with end-to-end model development, especially in LLMs</li> <li data-renderer-start-pos="1840">Prior academic publications and/or contributions to open-source AI research</li> <li data-renderer-start-pos="1840">Strong opinions on best practices in ML research, tooling, and/or infrastructure</li> </ul> <p>&nbsp;</p><div class="content-pay-transparency"><div class="pay-input"><div class="description"><p><strong><span style="font-size: 14px;">Benefits</span></strong></p> <span style="font-size: 14px;">&nbsp; <span style="font-size: 12px;">&nbsp;- Discretionary bonus eligibility</span><br><span style="font-size: 12px;">&nbsp; &nbsp;- Medical, dental, and vision insurance</span><br><span style="font-size: 12px;">&nbsp; &nbsp;- HSA, FSA, and Dependent Care options</span><br><span style="font-size: 12px;">&nbsp; &nbsp;- Employer Paid Group Term Life and AD&amp;D Insurance</span><br><span style="font-size: 12px;">&nbsp; &nbsp;- Voluntary Life &amp; AD&amp;D insurance</span><br><span style="font-size: 12px;">&nbsp; &nbsp;- Paid vacation plus paid holidays</span><br><span style="font-size: 12px;">&nbsp; &nbsp;- Retirement plan with employer match</span><br><span style="font-size: 12px;">&nbsp; &nbsp;- Paid parental leave</span><br><span style="font-size: 12px;">&nbsp; &nbsp;- Wellness Programs<br><br></span></span></div><div class="title">Annual Base Salary Range </div><div class="pay-range"><span>$200,000</span><span class="divider">&mdash;</span><span>$300,000 USD</span></div></div></div>