Staff ML Data Engineer - End-to-End & Large-Scale Pipelines

Veeda; California (MO); On-site; USD 140,000 - 180,000; Full time

Job summary

Veeda AI is seeking a Member of Technical Staff - ML Data to design, implement, and validate data-centric ML methods for large real-world datasets. You will own end-to-end data pipelines, annotations, and quality assessment in a fast‑moving team.

The role emphasizes reproducible software, rigorous experiments, and collaboration with researchers to push the boundaries of multimodal foundation models for Physical AI.

Qualifications

• Master’s or Ph.D. in Computer Science, Engineering, or a related field, or equivalent hands‑on experience.
• Demonstrated ability to develop original ML methods with rigorous experimental validation.
• Experience owning the full lifecycle of an ML method: design, implement, apply to large-scale data, evaluate, and iterate.
• Strong Python and PyTorch skills, with experience training, adapting, and evaluating ML models.
• Ability to design controlled experiments, establish meaningful metrics, and analyze errors to guide improvements.
• Strong software engineering skills, with emphasis on reproducibility, reliability, and maintainable code.

Responsibilities

• Design, develop, and validate ML methods for data selection, enrichment, annotation, and quality assessment.
• Own the full lifecycle from problem formulation through deployment and continuous improvement.
• Build reliable workflows for processing large-scale real-world datasets and scalable synthetic data pipelines.
• Measure data quality and assess its impact on model performance.
• Use failure analysis and feedback to improve data-processing methods.
• Produce and evaluate labels such as captions, camera poses, depth maps, and segmentation masks.
• Collaborate with researchers and engineers to develop effective data solutions.

Education

Master’s or Ph.D. in Computer Science, Engineering, or related field

Tools

Python

PyTorch

Distributed computing tools

Job description

Veeda AI is seeking a Member of Technical Staff - ML Data to design, implement, and validate data-centric ML methods for large real-world datasets. You will own end-to-end data pipelines, annotations, and quality assessment in a fast‑moving team.

The role emphasizes reproducible software, rigorous experiments, and collaboration with researchers to push the boundaries of multimodal foundation models for Physical AI.