Research Engineer

Goliath Partners Inc.; San Francisco, Northern (CA, KY); Hybrid; USD 140,000 - 190,000; Full time

Job summary

Goliath Partners Inc. is partnering with a frontier GenAI Research Lab to hire a Research Engineer (Member of Technical Staff) to own multimodal datasets and large-scale experimentation. You will design data pipelines, generate synthetic data, and run controlled training experiments to push model capabilities.

You will work in a fast-paced, high-ownership environment, directly shaping next-generation AI systems from data up, with opportunities to influence benchmarks and evaluations.

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

Skills

Multimodal data design

Experiment design

Data pipelines

Synthetic data generation

Benchmark development

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

Why join:

• 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