AI Research Post Doctoral Fellow
USD 51K-72K (estimate) Senior-level Full Time
Tasks
- Apply FAIR data practices
- Benchmark LLM serving and agentic workflows on GPU systems
- Build retrieval-augmented generation pipelines
- Co mentor graduate research assistants
- Co teach research computing and data science workshops
- Contribute training modules
- Coordinate technical meetings and design reviews
- Create containerized reproducible workflows
- Develop Model Context Protocol MCP server framework
- Direct distributed engineering effort
- Document hardware performance findings
- Implement sandboxed code execution
- Lead agentic AI platform design development and evaluation
- Orchestrate multi-agent systems
- Perform responsible AI and security reviews
- Prepare grant reporting and follow on proposals
- Publish first author papers
- Release code in public repositories
- Represent project progress to collaborators and sponsors
- Serve open weight large language models at scale
Perks/Benefits
Skills/Tech-stack
Agent systems | Authentication | C++ | Cloud infrastructure | Containerized workflows | Deep learning | Distributed Systems | Docker | FAIR-Data | FastAPI | Go | Helm | High Performance | High-Performance Computing | Information Retrieval | JavaScript | Kubernetes | Language Models | Language Processing | Large Language Models | Machine Learning | Model Context Protocol | Multi-Agent | Multi-Agent Systems | Natural Language | Natural Language Processing | Open Source | Open-Source Development | OpenStack | Performance Benchmarking | Performance Computing | Python | REST APIs | Reproducible Research | Retrieval-Augmented Generation | Rust | Slurm | Source development | TypeScript | VLLM
Education
Roles
Postdoctoral Researcher | Research Scientist | Researcher | Scientist
Regions
Countries
States
Cities
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