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

Veeda Innovation; California (MO); Hybrid; USD 130,000 - 180,000; Full time

Job summary

Veeda AI seeks a Member of Technical Staff - ML Data to design and validate data-centric ML methods. You will own the full lifecycle from problem formulation to deployment, building scalable pipelines for real-world datasets and synthetic data generation.

Strong Python and PyTorch expertise is required, along with a track record of rigorous experimental validation and reproducible software engineering practices. Join a fast-moving team tackling physical AI challenges.

Qualifications

• Master’s or Ph.D. in Computer Science, Engineering, or a related technical field, or equivalent hands-on experience.
• Demonstrated ability to develop original ML methods, evidenced by peer-reviewed publications or substantial research contributions with rigorous experimental validation.
• Experience owning the full lifecycle of an ML method: designing and implementing the approach, applying it to large-scale data, evaluating results, and improving it through successive iterations.
• Strong Python and PyTorch skills, with experience training, adapting, and evaluating machine learning models.
• Ability to design controlled experiments, establish meaningful metrics, and analyze errors to guide improvements.
• Strong software engineering skills, with an emphasis on reproducibility, reliability, and maintainable code.

Responsibilities

• ML Methods for Data: Design, develop, and validate ML methods for data selection, enrichment, annotation, and quality assessment.
• End-to-End Ownership: Own the full lifecycle, from problem formulation through deployment and continuous improvement.
• Large-Scale Application: Build reliable workflows for processing large-scale real-world datasets and scalable pipelines for generating synthetic data.
• Evaluation & Experimentation: Measure data quality and assess its impact on model performance.
• Iterative Improvement: Use failure analysis and feedback to improve data-processing methods.
• Annotation: Produce and evaluate labels such as captions, camera poses, depth maps, and segmentation masks.
• Research Collaboration: Partner with researchers and engineers to develop effective data solutions.

Skills

Python

PyTorch

Experimentation

Software engineering

Education

Master's degree in CS/engineering

Ph.D. in related field

Tools

Docker

Linux

Job description

Veeda AI seeks a Member of Technical Staff - ML Data to design and validate data-centric ML methods. You will own the full lifecycle from problem formulation to deployment, building scalable pipelines for real-world datasets and synthetic data generation.

Strong Python and PyTorch expertise is required, along with a track record of rigorous experimental validation and reproducible software engineering practices. Join a fast-moving team tackling physical AI challenges.