AI Research Intern

OnePay · Remote · United States (Remote) ·
Fully remoteInternshipJunior0–1 years
COMPENSATION
€•• – ••k
0 applicants so far

Listed on the employer's job board (Ashby)

  • Internship (Summer 2027)
  • Hybrid (NYC Office)
  • PyTorch
  • Foundation Models
  • No Visa Sponsorship

Join OnePay as an AI Research Intern to explore foundation models applied to financial data. You will design and train models using transformer or graph-based architectures, turning experimental findings into working prototypes. Working with product and engineering teams, you will help improve customer experience and operational efficiency.

What you'll do

  • Research, design, and train foundation models on proprietary data
  • Work with transformer and graph-based neural network architectures
  • Run experiments and rigorously evaluate model performance results
  • Convert promising research findings into functional prototypes
  • Partner with product and engineering teams to enhance user experience

What you'll need

  • Final-year master’s or PhD student graduating in 2027 or 2028
  • Major in Engineering or a closely related technical field
  • Strong grasp of deep learning fundamentals like backpropagation
  • Experience implementing or fine-tuning models in PyTorch
  • Completed prior internship in ML, research, or software engineering
  • Available full-time from June 21 to August 13, 2027
  • Willing to work in NYC office 3-4 days per week

Nice to have

  • Familiarity with transformer pre-training and fine-tuning tradeoffs
  • Exposure to graph neural networks or message passing techniques
  • Coursework or projects involving Large Language Models
  • Published research papers or open-source contributions in AI

Stack

  • PyTorch
  • Transformers
  • Graph Neural Networks

How you'll work

  • Full-time internship for 8 weeks
  • Hybrid schedule: 3-4 days weekly in NYC SoHo office
  • Program dates: June 21 to August 13, 2027

What you get

  • Hands-on experience building ship-ready products
  • Professional development opportunities
  • Team social outings and events

Hiring process

  • AI-assisted initial screening
  • Interview with Talent Partner
  • Technical or Hiring Manager interview
  • Team interview session
  • Executive interview
  • Final offer decision by December 1, 2026