14 дней назад
AI Research Intern
32$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI Research Intern (Fintech/Deep Learning): Researching and prototyping transformer-based and graph-based foundation models using customer, transaction, and merchant data with an accent on deep learning experimentation, model evaluation, and product-ready prototypes. Focus on training models in PyTorch, exploring graph learning and generative AI, and translating research findings into measurable customer and business impact.
Location: United States, hybrid; must be available to work in the New York City office at least 3–4 days per week
Salary: $32 per hour
Company
is a consumer fintech platform offering banking, savings, credit cards, lending, investing, crypto, and embedded financial services.
What you will do
- Research, design, and train transformer-based and graph-based foundation models on customer, transaction, and merchant data.
- Run experiments, evaluate results rigorously, and turn promising findings into working prototypes.
- Explore applications of deep learning, graph learning, and generative AI to real-world financial data.
- Collaborate with Product, Engineering, Applied Science, and Analytics teams across business units.
- Develop product-ready solutions that improve customer experience, operational efficiency, and business outcomes.
Requirements
- Final-year master's or PhD student in Engineering or a related field, graduating in Fall 2027 or Spring 2028.
- Strong understanding of neural networks, backpropagation, attention, embeddings, optimization, and training dynamics.
- Hands-on experience implementing, training, or fine-tuning models with PyTorch or an equivalent framework.
- At least one previous research, machine learning, or software engineering internship, or substantial academic or personal projects.
- Available for the full-time, 8-week program from June 21 to August 13, 2027, and able to work in the New York City office at least 3–4 days per week.
- Must already have authorization to work in the United States; employment visa sponsorship is not available.
Nice to have
- Familiarity with transformer foundation model pre-training, fine-tuning, inference, and related tradeoffs.
- Exposure to graph neural networks, message passing, graph foundation models, or representation learning on graph-structured data.
- Coursework or projects involving large language models or generative AI.
- Research publications, workshop papers, or open-source contributions.
Culture & Benefits
- Opportunity to work at a fast-growing fintech backed by Walmart and Ribbit Capital.
- Hands-on experience building technology intended for production.
- Access to a New York City SoHo office.
- Professional development opportunities and team social outings.
- Fast-paced, collaborative environment with significant business impact.
Hiring process
- AI-assisted initial screen.
- Talent Partner, Technical or Hiring Manager, Team, and Executive interviews.
- Applications and interviews are reviewed on a rolling basis; final cohort decisions are targeted by December 1, 2026.
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