AI Research Engineer, Pre-training
Hudson River Trading5 months ago
Base Salary
$250k - $300k/yr
Responsibilities
- Improve all aspects of large-scale model training, including kernel development, training data loading, parallelism, networking, and fault tolerance.
- Work closely with researchers to co-design models and shape the research agenda.
- Optimize training performance across large GPU clusters and multiple model types.
Requirements
- At least two years of work experience building deep learning systems.
- Strong engineering skills in areas such as CUDA, Triton, Pallas, CuTe DSL kernel development, lower-level PyTorch/JAX/XLA development, CUDA Graphs, or FPGA/ASIC systems.
- Experience translating methods between application domains is highly valued.
- LLM experience is valuable but not required.
- Finance experience is not required.
Benefits
- Eligible for discretionary performance-based bonuses and a competitive benefits package.
Tech Stack
Categories
AI ResearchML Engineering
About Hudson River Trading
Hudson River Trading is a privately held quantitative trading firm that researches and builds automated trading algorithms and low-latency systems. It trades its own capital across global electronic markets in multiple asset classes, often acting as a liquidity provider. Founded in 2002 and headquartered in New York, the firm runs a large-scale trading platform with around-the-clock operations supporting live market activity and risk controls.