Related skills
tensorflow pytorch diffusion models transformer attention mechanisms📋 Description
- Design, implement, and evaluate novel ML/DL algorithms.
- Iterate on AI model development from data to deployment.
- Collaborate with researchers to prototype and validate AI solutions.
- Conduct experiments to benchmark techniques and evaluate model behavior.
- Develop tools to support scalable, reproducible research.
- Communicate findings to leadership concisely.
🎯 Requirements
- M.S. or PhD in CS/CE with strong AI/ML focus.
- Enjoy solving less-defined, complex problems.
- Familiar with software practices: version control, code quality.
- Strong ML frameworks: PyTorch or TensorFlow.
- Understanding of Transformer architectures, attention, multimodal models.
- Debugging AI models: data, training, evaluation.
- Up-to-date with ML research and techniques.
🎁 Benefits
- Equal opportunity employer committed to diversity.
- Pay-for-performance culture.
- Reasonable accommodations during application process.
- Opportunity to work on cutting-edge AI for aerospace.
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