Data Engineer (AI)

Location: Palo Alto, London, or Zurich

Company

hirify.global is an AI lab developing causal, multimodal world models that learn to predict and interact with the world over long horizons.

What you will do

• Build and operate data pipelines for large-scale video, robotics, and audio datasets, from raw inputs to curated and enriched training data.
• Extract useful signals from multimodal data, including speaker detection, background-audio isolation, video point tracking, and feature tracking.
• Improve training mixes by deduplicating data, rebalancing clusters, identifying gaps, and maintaining dataset quality.
• Work with researchers to translate model requirements and research questions into data strategies and pipeline features.
• Improve storage, database layers, throughput, and deployment reliability across the data platform.

Requirements

• Approximately 1–5 years of relevant experience; seniority is flexible.
• Experience working with real video and/or audio data and processing it at scale.
• Ability to move between platform infrastructure work and research-facing data features.
• Strong problem-solving skills for ambiguous, poorly defined data challenges.
• Comfort working directly with researchers and translating their needs into concrete data work.

Nice to have

• Computer vision experience, including optical flow and feature or point tracking.
• Experience with large-scale video or multimodal pre-training, data mixes, and dataset curation.
• Background combining statistics or data science with engineering, plus hands-on video and image analysis.
• Exposure to robotics, human-movement, wearable, or audio-heavy data.
• Audio experience, which is highly valued.

Culture & Benefits

• Work spans both research and infrastructure rather than separating the two disciplines.
• Focus on hands-on work with messy multimodal data and extracting meaningful signals.
• Collaboration with researchers developing general world models.
• Full-time position within the Engineering department.