Summer 2026 | Applied Scientist Intern jobs in United States
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Ramp · 1 week ago

Summer 2026 | Applied Scientist Intern

Ramp is a financial operations platform that leverages AI to enhance the efficiency of finance teams. As an Applied Scientist Intern, you will own projects that involve building machine learning models and tools to solve critical business problems, collaborating with various stakeholders to translate business needs into effective solutions.

FinanceFinancial ServicesFinTech
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H1B Sponsor Likelynote

Responsibilities

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

Qualification

Machine Learning FundamentalsPython ProficiencySQL KnowledgeData Science LibrariesAI/ML ExperienceBias For ActionProduction ML MindsetData OrchestrationCommunication

Required

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

Preferred

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)

Benefits

Apple MacBook
Catered lunches in NYC office Monday-Friday
Weekly coffee stipend
100% medical, dental & vision insurance coverage for you + Partially covered for your dependents + One Medical annual membership
401k (including employer match on contributions made while employed by Ramp)
Flexible PTO
Fertility HRA (up to $10,000 per year)
Parental Leave
Pet insurance
Centralized home-office equipment ordering for all employees
Health and Wellness stipend
In-office perks: lunch, snacks, drinks, and more
Budget for intra-office travel
Relocation support to NYC or SF (as needed)

Company

Ramp

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Ramp is a financial operations platform designed to save companies time and money

H1B Sponsorship

Ramp has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (29)
2024 (24)
2023 (11)
2022 (10)
2021 (2)
2020 (2)

Funding

Current Stage
Late Stage
Total Funding
$2.98B
Key Investors
Lightspeed Venture PartnersICONIQ CapitalFounders Fund
2025-11-17Series Unknown· $311.72M
2025-07-30Series E· $500M
2025-06-14Series E· $200M

Leadership Team

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Eric Glyman
Co-Founder, CEO
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Gene Lee
Co-founder, focused on growth
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Company data provided by crunchbase