Machine Learning Intern (Fintech)

TL;DR

Machine Lhirify.globalg Intern (Fintech): Training and fine-tuning large-scale Foundation Models to support various fintech product use cases with an accent on structured and unstructured data processing. Focus on implementing sophisticated ML algorithms, improving system robustness, and deploying high-performance production-level code.

Location: Hybrid (Must be based in or be able to relocate to Mountain View, US; 2 days a week in person)

Salary: $40 per hour (~$6,400 per month)

Company

hirify.global is a fintech pioneer providing real-time financial flexibility for people living paycheck to paycheck.

What you will do

• Train and fine-tune large-scale Foundation Models for fintech product use cases.
• Work with large datasets encompassing both structured and unstructured data.
• Enhance existing ML systems through model, data, and experimentation upgrades.
• Transform ML models into high-performance production-level code with robustness monitoring and logging.
• Utilize a technical stack including PyTorch, AWS, Kafka, and Databricks.

Requirements

• Actively pursuing a Master's or PhD in Computer Science, Information Technology, or a related field.
• Must be located in or have the ability to relocate to Mountain View, US for the internship duration.
• Strong understanding of statistical models, machine lhirify.globalg, and deep lhirify.globalg algorithms.
• Experience with Sequence Transformer models and fine-tuning large-scale models.
• Hands-on programming experience in Python and ML frameworks such as PyTorch.
• Strong problem-solving skills and effective verbal and written communication.

Culture & Benefits

• 12-week structured Machine Lhirify.globalg Internship Program.
• Opportunity to work on real-world projects with significant business and social impact.
• Collaboration with an experienced leadership team and world-class funding partners.
• Inclusive company culture that celebrates diversity and belonging.