Datawizz · 3 months ago
Head of Research
San Francisco
Full-time
Onsite
Director/Executive
$50K/yr - $500K/yrDatawizz is a company focused on making AI efficient, affordable, and accurate. As the Head of Research, you will own the research agenda and build a team dedicated to improving the efficiency and accuracy of LLMs through innovative research and collaboration with engineering.
Artificial Intelligence (AI)FinanceHealth Care
Responsibilities
Set the research strategy and roadmap for mixture-of-models routing, distillation, SLM training, and evaluation
Build, lead, and mentor a high-caliber applied research team
Design and run rigorous experiments (ablations, offline/online A/Bs), defining clear metrics for cost, accuracy, and latency
Own our evaluation stack: datasets, benchmarks, human-in-the-loop reviews, and reliability/safety assessments
Develop novel methods (e.g., mixture-of-experts/routing, DPO/RLHF, quantization, speculative decoding) and ship reference implementations
Collaborate with engineering to transfer research into production and measure real-world impact
Qualification
Required
Set the research strategy and roadmap for mixture-of-models routing, distillation, SLM training, and evaluation
Build, lead, and mentor a high-caliber applied research team
Design and run rigorous experiments (ablations, offline/online A/Bs), defining clear metrics for cost, accuracy, and latency
Own our evaluation stack: datasets, benchmarks, human-in-the-loop reviews, and reliability/safety assessments
Develop novel methods (e.g., mixture-of-experts/routing, DPO/RLHF, quantization, speculative decoding) and ship reference implementations
Collaborate with engineering to transfer research into production and measure real-world impact
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
Preferred
Publications or notable open-source contributions; patents; early-stage 0→1 experience
Benefits
Competitive salary, based on experience level
Meaningful equity
Opportunity to be a founding member of a growing company
Company
Datawizz
Datawizz accelerates the transition to specialized language models - from data collection & decomposition, SFT/RFT, model deployment, evaluation and run-time observability.
Founded in 2019
2-10 employees
Funding
Current Stage
Early StageTotal Funding
$15.5MKey Investors
Human Capital
2025-09-28Seed· $12.5M
2025-06-02Seed· $3M
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