PulseRise Technologies is a seed-stage research-driven ML company focused on mechanistic understanding of model architectures and optimizers. They are hiring ML Engineers to implement research ideas reliably and operate full training pipelines end-to-end, blending academic rigor with industrial compute and speed.
Responsibilities:
- Translate research papers into working PyTorch/JAX implementations
- Run distributed transformer training
- Debug divergence and instability
- Optimize throughput
- Build full pipelines (data → training → evaluation)
- Reason about learning dynamics and architecture tradeoffs
- The bar is slope and research intuition, not years
- Reliable implementation of novel architectures
- Distributed transformer training at scale
- Training stability and performance debugging
- Evaluation frameworks
- Optimization reasoning alongside researchers