Related skills
tensorflow pytorch fine-tuning diffusion transformerπ Description
- Design, implement, and evaluate novel ML/DL algorithms.
- Iterate on data, architecture, training, evaluation, and deployment.
- Collaborate with researcher engineers to prototype and validate solutions from literature.
- Conduct experiments to benchmark techniques and evaluate model behavior.
- Develop tools to support scalable, reproducible research.
- Transition research prototypes into production-ready systems.
π― Requirements
- 8+ years of AI/ML experience.
- MS or PhD in CS or CE.
- Strong debugging for data, training, and eval needs.
- Software practices and version control mastery.
- Proficient with Pytorch and Tensorflow.
- Transformer architectures, attention, multimodal models, diffusion, fine-tuning.
π Benefits
- Equal Opportunity employer committed to diversity and inclusivity.
- Inclusive environment that embraces differences.
- Reasonable accommodations available for applicants.
- Pay-for-performance culture that rewards performance.
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