Job Description

⚡ Research Scientists/Engineers (all levels)

🔍 Focus on Vision Data Infrastructure

🤖 Fundamental AI Research Institute

🌎 San Francisco Bay Area, USA

💸 $250,000 - $600,000 salary + annual bonus

Come join one of the only research institutions globally with resources to compete with top AI companies =>10s of 1000s of GPUs to explore state-of-the-art research in LLMs, Multimodal and Agentic AI.

Currently seeking AI talent with expertise in building scalable pipelines for vision data to support both image/video generative training and multi-modal alignment. You’ll design high-performance pipelines for large-scale image and video datasets , enabling efficient pretraining, alignment, and simulation-based data generation.

Responsibilities:

Vision Data Sourcing & Curation

• Collect and organize image and video data from open datasets and the web.
• Handle data cleaning, filtering, deduplication, and metadata generation.
• Ensure ethical and compliant data collection at scale.

Processing & Augmentation

• Build high-throughput pipelines for vision data preprocessing (frame extraction, resolution normalization, format conversion, latent caching).
• Implement GPU-accelerated augmentation and distributed data loading (WebDataset, TFRecords, Parquet).

Synthetic & Simulation-Based Data Generation

• Use simulation tools (e.g., Unreal Engine 5 , Isaac Sim, Unity) to generate high-quality synthetic vision data .
• Create specialized datasets for VLM training , visual reasoning , and agent interaction .

Requirements:

• Strong experience with data engineering , computer vision , or machine learning infrastructure .
• Expertise in building and scaling ETL/data pipelines for large unstructured datasets.
• Proficiency with Python , PyTorch , and distributed data frameworks (e.g., Ray , Spark , Dask ).
• Experience with WebDataset , TFRecords , Parquet , or similar high-throughput data formats.
• Familiarity with GPU-accelerated preprocessing , NVIDIA DALI , or equivalent systems.
• Understanding of image/video codecs , data compression , and cloud storage optimization .

Preferred Experience:

• Prior work with simulation-based or synthetic data generation using Unreal Engine , Isaac Sim , or Unity .
• Experience curating datasets for multimodal or vision-language model training.
• Knowledge of data ethics , privacy , and compliance frameworks for large-scale AI datasets.
• Experience contributing to open datasets or data-centric AI research .

Why apply:

• Opportunity to join a fast-growing core team that are already pushing AI breakthroughs
• Highly competitive salary package
• Work alongside ambitious and bright superstars from tech and academia
• Medical, Dental and Vision Insurance
• Relocation package available

🌎 San Francisco Bay Area, USA

📧 Interested in applying? Please click on the ‘Easy Apply’ button or alternatively email me your resume at stefani.lukic@storm3.com

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