Ramp

Applied Scientist Intern

Ramp

internship

Posted on:

Origin:  • 🇺🇸 United States • New York

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Salary

💰 $11,375 per month

Job Level

Entry Level

Tech Stack

AirflowAmazon RedshiftBigQueryCloudNumpyPandasPythonPyTorchScikit-LearnSQL

About the role

  • End-to-End ML: own the model lifecycle from data exploration and feature engineering to training, benchmarking, deployment, and monitoring
  • State-of-the-Art AI: leverage the latest Large Language Models (LLMs) to solve novel problems and create new product capabilities for our customers
  • Versatile Techniques: apply the right tools to the right problems, whether it’s deep learning, gradient boosting, or causal inference
  • Rigorous Experimentation: quantify the impact of your work through A/B tests and other statistical methods
  • Collaborate: partner closely with product and business leaders to translate models and insights into actionable strategy and user-facing features
  • Focus on areas like: credit, fraud, growth, or our core product
  • Translate complex business needs into scalable machine-learning-driven solutions
  • Ship code and create genuine value for Ramp and our customers

Requirements

  • M.S. or Ph.D. Student currently pursuing degree in Data Science, Computer Science, Math, Physics, Economics, Statistics, or other quantitative fields with an expected graduation date between Dec 2026 - 2027
  • Strong ML Fundamentals: solid understanding of the mathematical foundations of machine learning, statistics, probability, and optimization
  • Python Proficiency: good grasp of common Data Science libraries (pandas, scikit-learn, NumPy, PyTorch, etc.)
  • SQL Knowledge: experience wrangling data in a modern data warehouse (e.g. Snowflake, BigQuery, Redshift, Clickhouse)
  • Practical Experience: track record of curating datasets and building/evaluating ML models
  • Interest or Experience with AI: curiosity and drive to integrate cutting edge LLMs and agents into applied solutions
  • Strong Communication: ability to clearly explain complex concepts to both technical and non-technical audiences and use data to build a compelling narrative
  • Bias For Action: a comfort with ambiguity and desire to ship solutions quickly then iterate
  • Publications, Projects, or Previous Experience: relevant experience applying AI/ML and demonstrating your passion for the field
  • Production ML Mindset: knowledge of software engineering best practices applied to ML including version control (Git), testing, and writing maintainable code
  • Data Orchestration: experience with leveraging modern data orchestration platforms (Airflow, Dagster, Prefect, Metaflow)
  • Requesting visa sponsorship? field present (applicant may need sponsorship)