Jump Trading
Research Engineer, Pre-Training
New York, London, Chicago
Sponsorship not specified$300k-$350kDetected 49 days ago
PythonDistributed SystemsKubernetesMachine LearningDeep LearningPyTorchData EngineeringFPGAResearchCommunicationCollaborationProblem Solving
About the role
- 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.
Responsibilities
- 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.
- 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.
Requirements
- Knowledge of financial markets or trading
Skills
- Jump Trading Group is committed to world-class research.
- Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak.
- Published research in efficient training methods, scaling laws, architectures, or systems for ML
- Expertise in Python and deep experience with modern deep learning frameworks (PyTorch and/or JAX)
- Ability to balance ambitious research goals with practical engineering constraints
- Strong problem-solving skills, results orientation, and excellent collaborative communication
- Reliable and predictable availability
Compensation
- Annual Base Salary Range
- $300,000 - $350,000 USD
Benefits
- Discretionary bonus eligibility
- Medical, dental, and vision insurance
- HSA, FSA, and Dependent Care options
- Paid vacation plus paid holidays
- Retirement plan with employer match
- Paid parental leave
- Wellness Programs
- Advanced degree (MS or PhD) in Computer Science, Machine Learning, Physics, Mathematics, or a related quantitative field, or equivalent industry experience at a frontier lab
- Knowledge of reinforcement learning, post-training, or fine-tuning techniques
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