Tech Stack
Responsibilities
- Research, design, and implement new techniques for training and improving large language models
- Build and optimize large-scale pre-training and post-training pipelines
- Improve model training efficiency, throughput, stability, and scalability
- Design and optimize model-parallel training strategies, including tensor, pipeline, sequence, and data parallelism
- Optimize GPU workloads using technologies such as CUDA and Triton
Benefits
- Equity
Culture
Fast-PacedStartup EnergyCollaborative Space
Requirements
Required: A strong undergraduate degree is expected, ideally from a highly selective technical university
Preferred: Advanced degrees are welcome
Regions: Us
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About pragmatike
Industry: saas
Size: startup
An early-stage AI company building and training state-of-the-art foundation models.
View company profile →Compensation
Base salary: $200,000 USD
Equity: Competitive equity
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