Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now

About the Role

Veeda AI is building the next generation of multimodal foundation world models for Physical AI. We're a small, fast-moving team of engineers and researchers from leading AI labs, tackling some of the most challenging problems at the intersection of AI, robotics, and embodied intelligence. If you're excited about pushing the boundaries of what's possible with Physical AI, you'll have the opportunity to make an outsized impact from day one.

Responsibilities

Build and maintain high-throughput image and video data pipelines, including cleaning, filtering, augmenting, and transforming multimodal datasets.
Translate product objectives and training strategies into concrete data processing plans, defining required dataset characteristics, sourcing strategies, and preparation protocols for model consumption.
Evaluate processed datasets against rigorous quality benchmarks, diagnose data-side failure modes, and iterate on processing strategies until datasets meet the high bar our foundation models demand.
Coordinate and drive data labeling efforts with annotation teams, establishing labeling guidelines, reviewing outputs, and ensuring consistency across large-scale annotation campaigns.

Requirements

Strong Python programming skills with the ability to write clean, modular, production-grade data processing code.
Hands-on experience with ML frameworks such as PyTorch, understanding model data requirements, tensor formats, and training data flow.
Exceptionally high standards for data quality, with the ability to assess data reliability, accuracy, and coverage systematically.
Familiarity with Computer Vision domain concepts and understanding of how image and video data characteristics impact downstream generative model performance.
Clear communication, thorough documentation, and effective collaboration with researchers, engineers, and labeling partners across time zones.
Proficiency in using AI coding harnesses (e.g., AI agents/assistants) in daily workflows without sacrificing software engineering rigor, including reviewing agent code diffs and recognizing AI code generation failure modes.

Skills

Python
PyTorch
Computer Vision
Data Processing
Data Quality Evaluation
Data Labeling Coordination
AI Coding Harnesses

About the Company

Veeda AI is building the next generation of multimodal foundation world models for Physical AI.
The team consists of engineers and researchers from leading AI labs.
The company tackles challenging problems at the intersection of AI, robotics, and embodied intelligence.