Jump Trading
Financial Services
ResearchEngineer,Pre-Training
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Research Engineer, Pre-Training at Jump Trading. Skills: Foundation models, Large-scale training, Distributed systems, Deep learning frameworks. Develop massive-scale foundation models. Transform market understanding and prediction”
What You'll Achieve.
Generate signals from financial market data; Monetize signals globally; Achieve near-linear performance scaling
Industry & Context.
Problem-solving skills
What They're Looking For.
Must Have
Advanced degree in Computer Science, Machine Learning, Physics, Mathematics, or related quantitative field, or equivalent industry experience, Expertise in Python, Deep experience with modern deep learning frameworks (PyTorch and/or JAX), Background in numerical computing, HPC, or distributed systems, Familiarity with GPUs/TPUs, Familiarity with high-performance networking (NVLink/InfiniBand), Familiarity with Kubernetes/Slurm, Familiarity with OS internals, Expertise and track record of significant, measurable performance improvements in large-scale distributed training, Published research in efficient training methods, scaling laws, architectures, or systems for ML, Ability to balance ambitious research goals with practical engineering constraints
Nice to Have
Expertise in CUDA kernel development, Expertise in Triton/Pallas/CuTe DSLs, Expertise in PyTorch/JAX internals, Expertise in XLA optimization, Expertise in hardware acceleration (FPGA/ASIC), Knowledge of reinforcement learning, Knowledge of post-training techniques, Knowledge of fine-tuning techniques, Knowledge of financial markets or trading
What You'll Do.
Develop massive-scale foundation models
Transform market understanding and prediction
Own and drive the entire training stack
Build fault-tolerant infrastructure
Scale infrastructure across thousands of GPUs and TPUs
Engineer data pipelines
Stream terabytes per second
Train models on petabytes of data
Design custom kernels
Unlock 10x efficiency gains
Co-design novel architectures with researchers
Pioneer cutting-edge approaches to mixed-precision training
Pioneer cutting-edge approaches to model parallelism
Push boundaries of pre-training at scale
How You'll Work.
Team & Collaboration
Collaborative communication; Winning together; Mutual respect
Communication Scope
Collaborative communication
Full 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 incentivizing 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. Our team is a group of quantitative researchers, engineers, and ML experts leading foundation model research and trading at Jump. Our mission is to combine emerging techniques and original research to generate signals from financial market data and monetize it globally. We are building the future of ML-powered trading through breakthrough foundation models, and we're looking for an exceptional Pre-Training Engineer to join our team. What You'll Do: As a Pre-Training Research Engineer, you'll be at the forefront of developing massive-scale foundation models that fundamentally transform how we understand and predict markets, where milliseconds matter and no playbook exists. You'll own and drive the entire training stack: building fault-tolerant infrastructure that scales across thousands of GPUs and TPUs with near-linear performance, engineering data pipelines that stream terabytes per second as our models train on petabytes of data from every corner of the global markets, and designing custom kernels that unlock 10x efficiency gains. Co-designing novel architectures with researchers and pioneering cutting-edge approaches to mixed-precision training and model parallelism, you'll have the latest generation hardwar
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