Sciforium builds the next generation of AI models with unprecedented efficiency, privacy, and versatility. Backed by SignalFire.
About the role
Sciforium is seeking a highly technical and visionary Foundation Model Data Engineer to lead the strategy, creation, and curation of the massive datasets that power our foundation models. We believe that in the era of LLMs, data is the primary competitive advantage. In this role, you will own the end-to-end data lifecycle—from raw web-scale crawling to the fine-grained human-alignment datasets that define model behavior.
What they're looking for
- 5+ years of industry experience in Data Science or Machine Learning, with a proven track record of building and managing datasets for foundation models
- Deep Proficiency in Python: Expert-level skills with a focus on high-performance code, including multiprocessing, multithreading , and efficient memory management for large-scale data tasks
- Petabyte-Scale Experience: Demonstrated experience working with petabyte-scale datasets that have been directly used to train production-grade LLMs or Large Vision Models
- Dataset Reconstruction: Experience building massive LLM training sets from scratch , including raw web crawls (e.g., Common Crawl) and specialized domain data
- Post-Training Expertise: Hands-on experience building datasets for RLHF, DPO, and multi-turn instruction following , including the management of human-labeling workflows and quality gold-sets
- Data Tooling: Mastery of data-at-scale frameworks such as Spark, Ray, or high-performance data-loading formats (e.g., WebDataset, Parquet)
More about this role
Sciforium is an AI infrastructure company developing next-generation multimodal AI models and a proprietary, high-efficiency serving platform. Backed by multi-million-dollar funding and direct sponsorship from AMD with hands-on support from AMD engineers the team is scaling rapidly to build the full stack powering frontier AI models and real-time applications.
Sciforium is seeking a highly technical and visionary Foundation Model Data Engineer to lead the strategy, creation, and curation of the massive datasets that power our foundation models. We believe that in the era of LLMs, data is the primary competitive advantage. In this role, you will own the end-to-end data lifecycle—from raw web-scale crawling to the fine-grained human-alignment datasets that define model behavior.
This position is ideal for a scientist who views data as a high-scale engineering challenge and an analytical puzzle. You will not just "provide" data; you will design the taxonomies, filtering heuristics, and post-training pipelines that ensure our models are world-class in reasoning, safety, and multimodal understanding.
Foundation Dataset Strategy: Own the end-to-end creation of pre-training datasets for...
Browse similar: Startup jobs · San Francisco Bay Area