Machine Learning Engineer Intern
Machine learning intern pursuing a Ph.D. who will build and deploy production-scale models and pipelines, conduct an end-to-end research project, and collaborate with engineering and product teams on blockchain and cryptocurrency applications.
About the job
Responsibilities
- Develop, deploy, and operate machine learning models and pipelines at production scale.
- Drive an end-to-end research project applying modern machine learning techniques to a defined business problem.
- Partner with senior engineers and product teams to identify machine learning applications for blockchain and cryptocurrency use cases.
- Present findings and recommendations to cross-functional stakeholders at the conclusion of the internship.
Requirements
- Currently pursuing a Ph.D. with published or in-progress research in machine learning, deep learning, or a closely related field.
- Proficiency building and training models using machine learning frameworks such as PyTorch or TensorFlow.
- Experience applying supervised, unsupervised, or reinforcement learning to structured or unstructured datasets.
- Familiarity with software engineering fundamentals, including version control, testing, and writing production-quality Python code.
- Responsible use of generative AI with human oversight to deliver business-ready outputs and improve workflow efficiency, cost, and quality.
Compensation
- Hourly rate: $60–$60 USD.
Skills
Machine Learning, Deep Learning, PyTorch, TensorFlow, Python, Reinforcement Learning, Supervised Learning, Unsupervised Learning, Version Control, Software Testing, Generative AI
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