The company is seeking to apply machine learning to achieve state-of-the-art capabilities in complex and challenging domains.
Requirements
- 5+ year track record of creating ML systems with real metrics & impact in industry and/or academia
- Strong general ML background with some exposure to language modeling architectures (e.g. transformers, SSMs)
- Solid development skills in Python and/or C++
- Familiarity with ML libraries/frameworks such as PyTorch (preferred), TensorFlow, and/or JAX
- Experience with HPC and distributed large model training
- Experience with GPU performance optimization (CUDA or ROCm)
- Experience with end-to-end model development, especially in LLMs
Responsibilities
- Lead an open-ended research project from concept to production
- Find compelling problems well suited to current and projected LLM capabilities
- Collaborate extensively with trading teams to understand requirements and constraints
- Continuously improve model design, tools, and infrastructure
- Target any area of the quantitative research process with the potential for firmwide application
Other
- Intellectual curiosity, versatility, and originality combined with a pragmatic outlook
- Ability to reason through quantitative problems and communicate effectively with trading researchers
- Reliable and predictable availability
- 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
