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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in neural networks, particularly in training and fine-tuning models using PyTorch or equivalent frameworks. Possesses strong analytical and problem-solving skills, with a focus on delivering impactful results in a collaborative environment.
Highest-signal resume keywords
Neural NetworksPyTorchTransformer-Based ArchitecturesGraph-Based LearningResearch Experience
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
BackpropagationAttention MechanismsEmbeddingsOptimizationTraining DynamicsModel Fine-TuningLarge Language ModelsGenerative AIGraph Neural NetworksMessage Passing
Soft Skills
Critical ThinkingProblem-SolvingClear CommunicationOrganizational SkillsAdaptability
Industry Keywords
Foundation ModelsCustomer ExperienceOperational EfficiencyMachine LearningResearch Output
Tech Stack
Tools & technologiesPyTorchSpring
About the role
Key responsibilities & impact- Research, design, and train foundation models on OnePay’s customer, transaction, and merchant data using transformer and/or graph-based architectures
- Run experiments and rigorously evaluate results
- Turn promising findings into a working prototype
- Work closely with Product, Engineering, Analytics, and Applied Science teams across business units
- Help provide a remarkable customer experience, drive positive business outcomes, and improve operational efficiency
- Drive significant impact on the company’s bottom line
- Report to the Head of AI/ML
- Participate in a full-time, 8-week internship program in the NYC office
Requirements
What you’ll need- Final-year graduate student 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
- Strong grasp of neural networks, including backpropagation, attention, embeddings, optimization, and training dynamics
- Implemented, trained, or fine-tuned models through research, coursework, or personal projects
- Comfortable working in PyTorch or an equivalent framework
- At least one previous internship in research, machine learning, or software engineering, or substantial personal or academic projects
- Available for a full-time, 8-week program running June 21–August 13, 2027
- Available to work in the New York City office at least 3–4 days a week throughout
- Act-like-an-owner mentality and ability to thrive in a fast-moving environment
- Critical thinking, problem-solving, and clear communication skills
- Strong organizational skills and ability to manage multiple tasks efficiently
- Passion for learning and growing in a rapidly growing startup
- Must be legally authorized to work in the United States; OnePay will not sponsor applicants who need employment-sponsored visas and future sponsorship will not be considered
- Familiarity with transformer-based foundation model architectures, including pre-training, fine-tuning, inference, and tradeoffs between approaches (nice to have)
- Exposure to graph-based learning or graph foundation models, such as GNNs, message passing, or representation learning on graph-structured data (nice to have)
- Coursework or projects involving Large Language Models or Generative AI (nice to have)
- Research output such as publications, workshop papers, or open-source contributions (nice to have)
Benefits
Comp & perks- Early access to a high potential, high growth fintech
- Hands on experience building product ready to ship
- Professional development and team social outings
- Beautiful NYC SoHo Office
