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Efficient/Green-AI Researcher
Not specifiedNot specifiedAI & Machine LearningResearch Services
Conduct research to improve AI computational efficiency and reduce the environmental impact of model training and inference. The role is offered as a volunteer opportunity, with any future paid appointment subject to funding, approval, legal compliance, and a separate written agreement.
Responsibilities
- Design energy-efficient algorithms and hardware-aware model architectures.
- Develop quantization, pruning, and knowledge-distillation techniques.
- Measure energy use and carbon footprint during training and inference.
- Recommend ways to reduce AI resource consumption.
- Collaborate with HPC engineers and systems architects on efficient training pipelines.
Requirements
- Master’s or PhD in computer science, electrical engineering, or a related field.
- Experience with model optimization, hardware accelerators, and environmental impact assessment.