Ramp

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  • 1,000 - 50,000 employees

Applied Scientist Intern (Jun 2026)

Location details

On-site

  • United States

    United States

    • New York

Remote

New York (Hybrid)

  • United States

    United States

    Remote work

    • New York

Location

New York, New York (Hybrid)

Closing in 2 months

Opportunity details

  • Opportunity typeInternship, Clerkship or Placement
  • SalaryUSD 11,375 / Month
  • Application open dateApply by 14 Apr 2026
  • Start dateStart date 1 Jun 2026 - 30 Jun 2026

Join Ramp as an Applied Science intern to develop machine-learning solutions that enhance financial operations for over 50,000 businesses.

Your Role

Here’s what you will be doing:

  • Own the end-to-end machine learning model lifecycle including data exploration, feature engineering, training, benchmarking, deployment, and monitoring
  • Leverage state-of-the-art AI, including Large Language Models (LLMs), to solve novel problems and create new product capabilities
  • Apply versatile techniques such as deep learning, gradient boosting, and causal inference to appropriate problems
  • Conduct rigorous experimentation using A/B tests and statistical methods to quantify impact
  • Collaborate closely with engineers, product managers, and business stakeholders to translate models and insights into actionable strategies and user-facing features

About You

The company is looking for:

  • Current M.S. or Ph.D. student in Data Science, Computer Science, Math, Physics, Economics, Statistics, or related quantitative fields, graduating between Dec 2026 - 2027
  • Strong fundamentals in machine learning, statistics, probability, and optimization
  • Proficiency in Python and common data science libraries (pandas, scikit-learn, NumPy, PyTorch, etc.)
  • Experience with SQL and data wrangling in modern data warehouses (e.g., Snowflake, BigQuery, Redshift, Clickhouse)
  • Practical experience curating datasets and building/evaluating ML models
  • Interest or experience with AI, particularly integrating cutting-edge LLMs and agents into applied solutions
  • Strong communication skills to explain complex concepts to technical and non-technical audiences and build data-driven narratives
  • Bias for action with comfort in ambiguity and a desire to ship solutions quickly and iterate

Nice to haves include publications, projects, or previous AI/ML experience, production ML mindset including version control and testing, and experience with data orchestration platforms (Airflow, Dagster, Prefect, Metaflow).

Compensation & Benefits

  • Monthly internship compensation: $11,375 USD plus $10,000 housing stipend
  • Apple MacBook provided
  • Catered lunches in NYC office Monday-Friday
  • Weekly coffee stipend
  • For U.S.-based full-time employees: 100% medical, dental & vision insurance coverage for employee, partial coverage for dependents
  • One Medical annual membership
  • 401k with employer match
  • Flexible PTO
  • Fertility HRA up to $10,000 per year
  • Parental leave
  • Pet insurance
  • Centralized home-office equipment ordering
  • Health and wellness stipend
  • In-office perks including lunch, snacks, drinks, and more
  • Budget for intra-office travel
  • Relocation support to NYC or SF as needed

This job may close before the stated closing date, you are encouraged to apply as soon as possible

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Work rights

The opportunity is available to applicants in any of the following categories.

Work right - United States
United States
US CitizenUS Permanent ResidentUS Student Visa

Qualifications & other requirements

You should have or be completing the following to apply for this opportunity.

Degree or Certificate
Qualification level
Qualification level
Masters (Coursework) or higher
Study field
Study field (any)
Business & Management
  • Economics
Engineering & Mathematics
  • Mathematics & Statistics
IT & Computer Science
  • Computer Science
  • Data Science
Sciences
  • Physics

Hiring criteria

  • Experience requirementNo experience required
  • Working rights
    US Citizen
  • Study fields
    Business & Management
  • Degree typesMasters (Coursework) or higher
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About the employer

Ramp logo

Ramp

Number of employees

1,000 - 50,000 employees

Industries

Finance & Banking

Ramp provides innovative financial technology solutions to optimize corporate spending and expense management.