AI Data Foundation Research Engineer
Ft. Collins, Colorado, United States of America
USD 126K-240K Mid-level Full Time Found 11d ago
Tasks
- Augment AI models with structured knowledge
- Build and optimize end-to-end AI and machine learning pipelines
- Collaborate with software teams and external partners to implement research
- Conduct innovative research in generative AI deep learning and machine learning
- Develop evaluate and test Foundation AI models across modalities
- Develop methods for context discovery retrieval filtering prioritization multi-modal data representation reasoning tool calling trace validation
- Discover select and use high-quality data for trustworthy AI outcomes
- Manage, search, enhance and interpret meta-data and lineage for AI pipelines
- Work with AI model architectures like LLMs time series diffusion models
Perks/Benefits
Skills/Tech-stack
AI Model Architectures | AI/HPC workflows | Algorithms | Big Data | Big Data Pipelines | C/C++ | Computer Vision | Container Orchestration | Data Engineering | Data Pipelines | Data Science | Data Structures | Deep learning | Generative AI | HPC workflows | Hybrid AI | Hybrid AI-HPC workflows | Innovation methodology | Knowledge graphs | Kubernetes | Language Models | ML frameworks | MLOps | Model architectures | Parallel processing | Python | Research and Innovation | Research and innovation methodology | Series analysis | Software performance | System Software | System software performance | Time Series | Time Series Analysis | Workflow Management
Education
Language: en |
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