Founding Engineer - ML

Datawizz • San Francisco, CA

143d • $50,000 - $500,000

About The Position

As a founding ML engineer, you’ll build the core intelligence layer of our platform. You’ll work on cutting-edge problems in evaluation, routing, fine-tuning and model distillation - turning research ideas into production systems at scale. We strive to leverage and productize the latest research, while pushing the boundaries in specific areas where we have unique customer exposure with our own research. This role will include opportunities for publishable research alongside product work.

Requirements

• Experience with training and evaluating ML models (especially LLMs) using Python, PyTorch, Transformers, TRL, Unsloth etc.
• Experience in designing experiments and building metrics/evaluation pipelines.
• Experience in scaling ML systems from prototype to production.
• Experience in deploying and operating ML workloads in the cloud (AWS, Kubernetes, Docker, etc.).
• Ability to thrive in fast-paced startup environments with high ownership.

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.

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

What This Job Offers

• Career Level: Entry Level