Staff Data Engineer, Multimodal AI Pipelines

Veeda AI; Zürich; Vor Ort; CHF 120.000 - 190.000; Vollzeit

Zusammenfassung

Veeda AI is building the next generation of multimodal foundation world models for Physical AI, with a small, fast-moving team of engineers and researchers solving challenging problems at the intersection of AI, robotics and embodied intelligence.

We seek a Member of Technical Staff - Data to design and operate large-scale data pipelines, curate datasets, and manage provenance across diverse data sources and formats.

Qualifikationen

• Bachelor's degree in Computer Science, Computer Engineering, or equivalent hands-on experience in large-scale data engineering.
• Built and operated distributed data pipelines (e.g., Ray Data, Daft, Spark) over hundreds of terabytes, with rigor in idempotency, backfills, and schema evolution.
• Strong Python skills and comfortable in the video stack (codecs, containers, ffmpeg) and in columnar and object storage formats.
• Able to design and defend a data mixture empirically, running curation ablations that measure downstream model quality.
• Experience working inside real licensing constraints on what may and may not be trained on, with provenance treated as a hard requirement.

Aufgaben

• Multimodal Ingest: Build ingest for video, lidar, and robot trajectories on Ray Data and Daft, with GPU decode (NVDEC, DALI) and resharding into WebDataset and Lance layouts that stream sequentially rather than seeking per sample.
• Curation & Filtering: Decide what earns a slot using blur, exposure, and camera-trajectory scoring plus embedding deduplication over cuVS indexes, and prove each filter with a downstream ablation, not a dataset-size delta.
• Annotation & Auto-Labeling: Produce the labels the models need, such as VLM captions, camera pose from feed-forward reconstruction (VGGT, MASt3R), and depth and segmentation pseudo-labels, and hold each to a measured error rate against human review.
• Real & Synthetic Interop: Normalize episodic data across formats such as LeRobotDataset v3, Open X-Embodiment, and RLDS, reconciling action spaces, control rates, and frame timing, and account for the simulated share of every training mixture.
• Provenance, Licensing & Governance: Track license terms, restricted-source flags, and C2PA content credentials at source granularity, and version datasets as immutable manifests so any checkpoint traces back to the exact bytes that trained it.

Kenntnisse

Python

Data engineering

Distributed pipelines

Ablation studies

Git & collaboration

Ausbildung

Bachelor's degree in Computer Science / Computer Engineering

Equivalent hands-on data engineering experience

Tools

Ray Data

Daft

Spark

ffmpeg

Open X-Embodiment

Jobbeschreibung

Veeda AI is building the next generation of multimodal foundation world models for Physical AI, with a small, fast-moving team of engineers and researchers solving challenging problems at the intersection of AI, robotics and embodied intelligence.

We seek a Member of Technical Staff - Data to design and operate large-scale data pipelines, curate datasets, and manage provenance across diverse data sources and formats.