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About the Role
We are seeking an exceptional Pre-Training Engineer to join our team, focusing on developing massive-scale foundation models that transform market prediction. You will own and drive the entire training stack, from infrastructure to data pipelines and custom kernels, pushing the boundaries of pre-training at scale.
Responsibilities
- Build fault-tolerant infrastructure that scales across thousands of GPUs and TPUs with near-linear performance.
- Engineer data pipelines that stream terabytes per second as models train on petabytes of data.
- Design custom kernels that unlock 10x efficiency gains.
- Co-design novel architectures with researchers.
- Pioneer cutting-edge approaches to mixed-precision training and model parallelism.
- Other duties as assigned or needed.
Requirements
- Expertise and track record of significant, measurable performance improvements in large-scale distributed training (MFU, throughput, convergence, cost-per-token).
- Published research in efficient training methods, scaling laws, architectures, or systems for ML.
- Background in numerical computing, HPC, or distributed systems.
- Familiarity with GPUs/TPUs, high-performance networking (NVLink/InfiniBand), Kubernetes/Slurm, and OS internals.
- 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.
Skills
- CUDA kernel development
- Triton/Pallas/CuTe DSLs
- PyTorch/JAX internals
- XLA optimization
- Hardware acceleration (FPGA/ASIC)
- Reinforcement learning
- Post-training techniques
- Fine-tuning techniques
- Financial markets knowledge
- Trading knowledge
Location
- Remote
Work Type
- Full-time
Experience Level
- MS or PhD in Computer Science, Machine Learning, Physics, Mathematics, or a related quantitative field, or equivalent industry experience at a frontier lab.
Education Level
- MS or PhD in Computer Science, Machine Learning, Physics, Mathematics, or a related quantitative field, or equivalent industry experience at a frontier lab.
Salary/Compensations
- $300,000—$350,000 USD
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
About the Company
- Jump Trading Group is committed to world-class research, empowering exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries and apply cutting-edge research to global financial markets.
- Our culture is unique, characterized by constant innovation, fearlessness, creativity, intellectual honesty, and a relentless competitive streak.
- We believe in winning together, unlocking unique individual talent by incentivizing collaboration and mutual respect.
- Research outcomes drive superior risk-adjusted returns, and we design, develop, and deploy technologies that change our world.
- We fund start-ups across industries and partner with leading global research organizations and universities to solve problems.