Staff Engineer, Physical AI Data & World Models

Bonfirevc; Palo Alto (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

Orbifold AI in Palo Alto, CA seeks a Member of Technical Staff to build data and evaluation foundations for world models and embodied AI systems. You will design, build, and iterate data pipelines, evaluation frameworks, and training workflows that drive real-world model quality, bridging data curation and model training with partner feedback.

This highly applied role emphasizes production-grade systems, scalable data handling, and tangible impact on deployed robotics and AI systems,

Qualifications

• Experience with applied ML systems at scale.
• Proven ability to build data pipelines for AI workflows.
• Strong collaboration with research and engineering teams.

Responsibilities

• Co-design data pipelines and end-to-end training workflows with robotics teams.
• Define multimodal data structures for training and evaluation.
• Build scalable data ingestion, cleaning, annotation, and curation systems.
• Work on training or fine-tuning models for perception and multimodal reasoning.
• Iterate datasets based on downstream model performance and feedback.
• Develop evaluation frameworks with fine-grained failure taxonomies and benchmarks.
• Bridge gaps between raw data, datasets, and model behavior.

Skills

Robotics

Embodied AI

World models

Multimodal reasoning

Reinforcement learning

Tools

PyTorch

TensorFlow

Job description

Orbifold AI in Palo Alto, CA seeks a Member of Technical Staff to build data and evaluation foundations for world models and embodied AI systems. You will design, build, and iterate data pipelines, evaluation frameworks, and training workflows that drive real-world model quality, bridging data curation and model training with partner feedback.

This highly applied role emphasizes production-grade systems, scalable data handling, and tangible impact on deployed robotics and AI systems,