Staff Research Engineer for Frontier AI Data Value

Goliath Partners; Sunnyvale (CA); Hybrid; USD 260,000 - 420,000; Full time

Job summary

Goliath Partners is seeking an exceptional Principal/Staff+ Research Engineer to tackle one of the hardest problems in frontier AI: selecting data that will most improve next models before training, given massive multimodal data and compute. You will work across dataset enrichment, evaluation, world models, and technical strategy across research, data and model teams.

This highly senior IC role requires deep expertise in multimodal data, data quality, and production-scale deployment, with strong

Qualifications

• Experience 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 frontier-model / production scale.
• Strong cross-functional technical leadership and judgment.
• Comfortable solving ambiguous, open-ended research and engineering problems.

Responsibilities

• Shape data strategy across research, data and model teams.
• Evaluate data quality and enrichment strategies to improve downstream performance.
• Lead datasets enrichment, evaluation and governance at scale.
• Communicate high-impact data requirements to stakeholders.

Skills

Multimodal datasets

Data quality & impact

Frontier-model scale

Cross-functional leadership

Ambiguous problem solving

Job description

Goliath Partners is seeking an exceptional Principal/Staff+ Research Engineer to tackle one of the hardest problems in frontier AI: selecting data that will most improve next models before training, given massive multimodal data and compute. You will work across dataset enrichment, evaluation, world models, and technical strategy across research, data and model teams.

This highly senior IC role requires deep expertise in multimodal data, data quality, and production-scale deployment, with strong