Head of Research

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