Datawizz is a company that helps companies reduce LLM costs by 85% while improving accuracy by over 20%. As Head of Research, you'll own Datawizz's research agenda and build an applied research organization focused on making LLMs radically more efficient and accurate.
Requirements
- Leading applied ML/NLP research teams and shipping work into production at a startup or high-growth company
- LLM internals and training techniques: distillation/LoRA, DPO/RLHF, routing/MoE, prompt/adapter tuning, and SLM design
- Building evaluation frameworks (task suites, synthetic data, human eval pipelines) and tying metrics to product outcomes
- Large-scale training and inference systems (PyTorch or JAX; distributed training; inference stacks like vLLM/TensorRT-LLM; quantization/KV-cache optimizations)
- Strong coding skills in Python and a bias toward hands-on experimentation and rapid iteration
- Data curation and labeling workflows, with attention to privacy, safety, and robustness
- Communicating research clearly and partnering cross-functionally with engineering and product
Benefits
- Competitive salary, based on experience level (Annual compensation range: $50,000-$500,000)
- Meaningful equity
- Opportunity to be a founding member of a growing company