AI Research Intern (8 Week Internship)

ONE; United States; Remote; USD 39,000 - 55,000; Full time

Benefits offered by this job

Health benefits

Flexible time off

Paid leave (sick, personal, caregiver,

401k with employer match

Monthly work-from-home stipend

Remote-first culture

Job summary

ONE is seeking an AI Research Intern to research and prototype foundation models on OnePay’s data, focusing on transformer-based and graph-based architectures. You will run experiments, evaluate results, and turn promising findings into a working prototype while collaborating with product, engineering, and analytics teams.

You’ll join a fast-paced startup and contribute to a remarkable customer experience, with a 8-week program running June 21 – August 13, 2027, offering health benefits and

Qualifications

• Deep learning fundamentals including backpropagation, attention, embeddings, optimization, and training dynamics.
• Final-year master's or PhD student expected to graduate Fall 2027 or Spring 2028.
• Strong problem solving and clear communication.
• Available to work in New York City office 3–4 days a week.
• Prior internship in research, ML, or software engineering; project portfolio.
• Experience with PyTorch or equivalent framework.
• Familiarity with transformer architectures and graph foundation models (GNNs).
• Coursework or projects involving LLMs or Generative AI.
• Research output: publications, workshop papers, or open-source contributions.

Responsibilities

• Research, design, and train foundation models on OnePay’s data.
• Run experiments, evaluate results, and prototype working models.
• Collaborate with product, engineering and analytics teams.
• Contribute to a fast-paced startup environment and learning culture.
• Work across business units to drive customer experience improvements.

Skills

Deep Learning

Transformers

Graph Learning

PyTorch

Generative AI

Research mindset

Problem solving

Education

Final-Year Graduate Student

Tools

PyTorch

Job description

• As an AI Research Intern, your mandate is to research and prototype foundation models, both transformer-based and graph-based, applied to OnePay’s customer, transaction, and merchant data
• You’ll work on real modeling problems and build a working prototype that demonstrates the approach. This role will impact OnePay’s vision by providing a remarkable customer experience, driving positive business outcomes, and improving operational efficiency
• You will work closely with the product, engineering and applied science team(s) working across all business units. This role reports to the Head of AI/ML
• Research, design, and train foundation models on OnePay’s data, working with transformer and/or graph-based architectures
• Run experiments, evaluate results rigorously, and turn promising findings into a working prototype
• Opportunity to work in an extremely fast paced growing company
• Partner with Product, Engineering and Analytics teams to ensure we are providing a remarkable customer experience
• Driving significant impact on the company’s bottom line
• This is a full-time, 8-week program running June 21 - August 13, 2027

Benefits

• Competitive health benefits: Medical, dental, and vision plans, pluss wellness perks.
• Flexible time off: Rest, recharge, repeat.
• Paid employee leave: Sick, personal, caregiver, bereavement, ans parental.
• 401k plan: With employer match.
• Monthly work-from-home stipend: To cover those home office expenses.
• Remote-first culture: Work anywhere in the US.

Deep Learning Fundamentals: You have a strong grasp of how neural networks work under the hood, including backpropagation, attention, embeddings, optimization, and training dynamics

Final-Year Graduate Student: You’re in the final year of a master’s or PhD program, expected to graduate in Fall 2027 or Spring 2028, majoring in Engineering or a related field

Critical Thinking & Problem-Solving Skills: You enjoy tackling complex challenges, analyzing problems, and developing solutions. Clear communication of ideas is one of your strengths

Availability: This is a full-time, 8-week program running June 21 - August 13, 2027. You are available to work in our New York City office at least 3-4 days a week throughout

Proactive & Collaborative Attitude: You have an act-like-an-owner mentality, thrive in a fast-moving environment, and enjoy working with others to achieve collective goals

Excited to Learn & Grow: You are passionate about being part of a rapidly growing start-up and look forward to expanding your skills in a real-world setting

Prior Experience: You’ve completed at least one previous internship in research, machine learning, or software engineering, or have built substantial personal or academic projects you’re excited to talk through

You’ve implemented, trained, or fine-tuned models yourself through research, coursework, or personal projects, and you’re comfortable working in PyTorch or an equivalent framework

Organized & Detail-Oriented: You’re a keen listener with strong organizational skills, capable of managing multiple tasks efficiently

Familiarity with transformer-based foundation model architectures, including pre-training, fine-tuning, inference, and the tradeoffs between approaches

Exposure to graph-based learning or graph foundation models, such as GNNs, message passing, or representation learning on graph-structured data

Coursework or projects involving Large Language Models or Generative AI

Research output in any of the above: publications, workshop papers, or open-source contributions