Senior Research Engineer

Goliath Partners; San Francisco (CA); On-site; USD 180,000 - 280,000; Full time

Job summary

Goliath Partners is seeking an exceptional Senior Research Engineer to tackle one of the hardest problems in frontier AI. You will determine which data will improve the next model before training, working across dataset enrichment, data impact on performance, world models, and cross-functional technical strategy.

This is a highly senior IC role with significant technical influence across the organization, not simply data pipelines or infrastructure.

Qualifications

• Experience with multimodal data (images, video, robotics) and large-scale ML.
• Deep understanding of data quality and its impact on model performance.
• Experience operating at frontier-model or production-scale.
• Strong cross-functional technical leadership and judgment.
• Ability to solve ambiguous research and engineering problems.

Responsibilities

• Dataset enrichment and evaluation to improve model performance.
• Assess how training data affects downstream model results.
• Contribute to world models and frontier multimodal AI initiatives.
• Shape technical strategy across research, data and model teams.
• Serve as a senior IC with influence beyond pipelines or infra.

Skills

Multimodal ML

Data quality

Production-scale ML

Cross-functional leadership

Research to production

Job description

I'm partnering with a ~$9B frontier AI company building next-generation embodied AI and world models.

They're looking for an exceptional Sernior Research Engineer to tackle one of the hardest problems in frontier AI:

Given massive amounts of multimodal data and compute, how do you determine which data will actually make the next model better - before you train it?

You'll work across:

• Dataset enrichment and evaluation
• Understanding how training data impacts downstream model performance
• World models / frontier multimodal AI
• Technical strategy across research, data & model teams

This is a highly senior IC role with significant technical influence across the organization, not simply a data pipeline or infrastructure position.

Ideal background:

• Experience working with multimodal, image, video, robotics or other large-scale ML datasets
• Deep understanding of data quality and its relationship to model performance
• Experience operating at genuine frontier-model / production scale
• Strong cross-functional technical leadership and judgment
• Comfortable solving ambiguous, open-ended research and engineering problems

Autonomous driving experience is NOT required. We're particularly interested in people from frontier AI labs, multimodal/video foundation-model teams, robotics, and other organizations solving data problems at enormous scale.

Bay Area / London + flexibility for exceptional candidates