Machine Learning Engineer

What you'll do:

• Develop, deploy, and operate machine learning models and pipelines at production scale
• Drive an end-to-end research project applying modern ML techniques to solve a defined business problem
• Partner with senior engineers and product teams to identify new ML applications for blockchain and crypto use cases
• Present findings and recommendations to cross-functional stakeholders at the conclusion of your internship

Required Skills and Experience:

• Currently pursuing a Ph.D. with published or in-progress research in machine learning, deep learning, or a closely related field
• Demonstrated proficiency building and training models using ML frameworks such as PyTorch or TensorFlow
• Experience applying ML techniques including supervised learning, unsupervised learning, or reinforcement learning to structured or unstructured datasets
• Familiarity with software engineering fundamentals including version control, testing, and writing production-quality Python code
• Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality.