Member of Technical Staff – ML Data

About the role

Veeda AI is building next‑generation multimodal foundation models for Physical AI. As a Member of Technical Staff – ML Data you will design and own ML methods that drive data selection, enrichment, annotation and quality assessment for large‑scale real‑world and synthetic datasets.

Key responsibilities

• Design, develop, and validate novel ML methods for data selection, enrichment, annotation, and quality assessment.
• Own the full lifecycle of these methods, from problem formulation through deployment and continuous improvement.
• Build reliable, scalable pipelines for processing massive datasets and generating synthetic data.
• Measure data quality, evaluate impact on model performance, and iterate based on failure analysis.
• Collaborate with researchers and engineers to create effective data solutions.

Required profile

• Master’s or Ph.D. in Computer Science, Engineering, or a related technical field, or equivalent hands‑on experience.
• Proven track record of developing original ML methods, supported by peer‑reviewed publications or substantial research contributions.
• Experience owning the end‑to‑end lifecycle of ML methods on large‑scale data.
• Strong ability to design controlled experiments, define meaningful metrics, and analyze errors.

Required skills

• Python
• PyTorch