We are leveraging diffusion technology to develop a new generation of LLMs. Our dLLMs are much faster and more efficient than traditional autoregressive LLMs. Backed by AI Grant and Amplify.
About the role
We seek experienced engineers and scientists to shape how we collect, process, and curate the datasets that power our models. You'll combine engineering expertise with research insight to build scalable data pipelines, develop synthetic data generation techniques, and ensure our models are trained on high-quality, diverse data.
What they're looking for
- Develop data mixes for training LLMs, including by leveraging open-source datasets, synthetically generated data, and curated human feedback
- Design and implement data pipelines for processing petabyte-scale datasets
- Build systems for web crawling, data ingestion, and real-time data processing to support model training
- Develop tools and frameworks for efficient data storage, retrieval, and versioning across distributed systems
- Create evaluation frameworks to measure data diversity, quality, and representativeness
- Ensure data collection adheres to privacy regulations
More about this role
Inception creates the world’s fastest, most efficient AI models. Our Mercury model is the world’s fastest reasoning LLM and first commercially available diffusion LLM, delivering 5x greater speed and efficiency than today’s LLMs, with best-in-class quality.
We are the AI researchers and engineers behind such breakthrough AI technologies as diffusion models, flash attention, and DPO.
The Role
We seek experienced engineers and scientists to shape how we collect, process, and curate the datasets that power our models. You'll combine engineering expertise with research insight to build scalable data pipelines, develop synthetic data generation techniques, and ensure our models are trained on high-quality, diverse data.
Key Responsibilities
- Develop data mixes for training LLMs, including by leveraging open-source datasets, synthetically generated data, and curated human feedback.
- Design and implement data pipelines for processing petabyte-scale datasets.
- Build systems for web crawling, data ingestion, and real-time data processing to support model training.
- Develop tools and frameworks for efficient data storage, retrieval, and versioning across distributed systems.
- Create...
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