Machine Learning Intern

Summary: EarnIn is a fintech company focused on providing earned wage access and financial flexibility. They are seeking a Machine Learning Intern to build and deploy machine learning systems that drive impact through data capabilities. Responsibilities: - Train and fine-tune large-scale Foundation Models to support various fintech product use cases - Work with a large dataset, including structured and unstructured data - Help in ensuring improvements in our current ML systems via model, data, or experimentation upgrades - Gain hands-on experience with a wide array of technologies, including PyTorch, AWS, Kafka, Databricks, etc Required Qualifications: - Actively pursuing a Master's or PhD in Computer Science, Information Technology, or a related field - Located in Mountain View, or have the ability to relocate there, for the duration of the internship - Strong understanding of statistical models, familiarity, and in-depth understanding of machine learning and deep learning algorithms - Familiarity with training or fine-tuning large-scale models, Sequence Transformer models - Interest in multimodal or multitask learning across structured, sequential, and behavioral data - Familiarity with AI tools, harness engineering, agentic workflow, etc - Hands-on programming experience in Python and ML frameworks such as PyTorch - Equipped with good verbal and written communication skills - A background demonstrating strong problem-solving skills - Committed to taking ownership of projects, conducting thorough investigations, and driving initiatives to conclusion Required Skills: Machine learning, Deep learning, Language models, Generative AI, Statistical models, Sequence Transformer models, Multimodal learning, Multitask learning, Python, PyTorch, AWS, Kafka, Databricks