Research Engineer

Goliath Partners; San Francisco (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

Goliath Partners and a fast-growing frontier GenAI Research Lab are seeking a Research Engineer to build the data behind next-generation world models. You will own multimodal datasets, synthetic data generation, and run large-scale experiments that shape model capabilities.

As a Member of Technical Staff, design datasets, run controlled training experiments, and build pipelines for data generation, filtering, and quality control.

Qualifications

Responsibilities

• Design multimodal datasets that directly shape what frontier world models learn
• Run controlled training experiments to understand how data impacts model capabilities
• Build large-scale pipelines for synthetic data generation, filtering, and quality control
• Develop evaluations and benchmarks that measure meaningful model improvements
• Work at the frontier of multimodal foundation models and world models
• High ownership within a small, elite team operating with an exceptionally fast iteration loop
• Directly shape the capabilities of next-generation AI systems from the data up

Skills

Multimodal datasets

Synthetic data generation

Large-scale experimentation

Evaluations and benchmarks

World models knowledge

Job description

Goliath Partners has exclusively partnered with a fast-growing, venture-backed frontier GenAI Research Lab that is operating at serious scale & expanding.

They’re looking for a Research Engineer to help build the data behind their next-generation world models. You'll own multimodal datasets, synthetic data gen, and large-scale experimentation that directly shapes model capabilities.

As a Member of Technical Staff you will:

• Design multimodal datasets that directly shape what frontier world models learn


• Run controlled training experiments to understand how data impacts model capabilities


• Build large-scale pipelines for synthetic data generation, filtering, and quality control


• Develop evaluations and benchmarks that measure meaningful model improvements


• Work at the frontier of multimodal foundation models and world models


• High ownership within a small, elite team operating with an exceptionally fast iteration loop


• Directly shape the capabilities of next-generation AI systems from the data up