Nike is looking to solve the problem of building intelligent capabilities for designers, engineers, and creators to reimagine the future of physical product design through the Advanced Product Intelligence team.
Requirements
- Strong foundational understanding of core machine learning concepts (e.g., supervised & unsupervised learning, neural network architectures, model training and evaluation, tradeoffs in model selection, overfitting and underfitting behavior)
- Experience working with and applying diffusion models, computer vision models, transformers, and/or 3D geometry data
- Hands-on experience with fine-tuning Generative AI image diffusion models and integrating them into creative workflows
- Hands-on experience building AI/ML-powered systems or prototypes (either academic, personal, or professional)
- Proficiency in Python and commonly used ML libraries (e.g., PyTorch, OpenCV, NumPy, pandas, TensorFlow, scikit-learn)
Responsibilities
- Prototyping AI/ML tools that support creative workflows for footwear and apparel design
- Fine-tuning image diffusion, vision-language, and generative 3D models geared towards product design exploration
- Training lightweight, domain-specific predictive ML models from generated or curated datasets
- Building interactive prototypes or internal tools that make intelligent capabilities readily available for use by Design and Engineering teammates
Other
- Currently pursuing a Master’s degree in Computer Science, Machine Learning, Data Science, Computational Engineering, or a related technical field with a graduation date between Winter 2026 and Summer 2027
- Self-directed, builder mindset and a curiosity for solving ambiguous and novel problems
- Ability to communicate technical findings to diverse audiences in verbal and written form
- Comfort navigating ambiguous problem spaces and proposing your own ideas or approaches
