Datawizz · 4 months ago
Founding Engineer - ML
San Francisco
Full-time
Onsite
Mid, Senior Level
$50K/yr - $500K/yrDatawizz is a company focused on making AI efficient, affordable, and accurate. As a founding ML engineer, you will build the core intelligence layer of the platform, working on model evaluation, routing, fine-tuning, and distillation while contributing to both research and product development.
Artificial Intelligence (AI)FinanceHealth Care
Responsibilities
Design and build our model evaluation framework for measuring accuracy, latency, and cost across diverse models
Develop and productionize the SLM training pipeline, including data processing, training orchestration, and evaluation loops
Build and optimize our real-time LLM router to decide which model to use for each request
Contribute to infrastructure that enables rapid experimentation and model iteration at scale
Influence technical direction and help shape the culture of the engineering team
Qualification
Required
Training and evaluating ML models (especially LLMs) using Python, PyTorch, Transformers, TRL, Unsloth etc
Designing experiments and building metrics/evaluation pipelines
Scaling ML systems from prototype to production
Deploying and operating ML workloads in the cloud (AWS, Kubernetes, Docker, etc.)
Thriving in fast-paced startup environments with high ownership
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
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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