Applied Scientist Internships
Applied scientist internships give university students, recent graduates, and early-career switchers hands-on project experience, mentorship from working applied scientists, and, at many employers, a path toward a full-time offer. Openings are concentrated in Technology & Software, with TikTok, Lyft, and Ramp among the employers posting roles now.
Find Applied Scientist InternshipsOverview
Showing 5 of 13+ Applied Scientist Internships
Location
New York, NY (HQ)
Employment Type
Intern
Location Type
Hybrid
Department
Data
Compensation
- $12.5K per month
The final compensation will depend on the location and level at which the candidate is hired.
About Ramp
Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $200B in annualized spend flows in and out of 70,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books.
The problems are high-stakes, data-dense, and unforgiving.
We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome.
The median Ramp customer saves 5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same.
If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it.
About the Role
The Applied Science team builds models and tools that solve Ramp’s most critical problems: from underwriting businesses to combatting fraud to making spend management smarter. We’re deeply embedded in the business and provide a quantitative foundation for decision making.
As an Applied Science intern, you’ll be a fully integrated member of the team and own your project from start to finish. Working with engineers, product managers, and business stakeholders, you’ll translate complex business needs into scalable machine-learning-driven solutions. This is a chance to apply ML concretely, ship code, and create genuine value for Ramp and our customers.
You will focus on exciting problems in areas like: credit, fraud, growth, or our core product.
What You’ll Do
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
What You Need
B.S., M.S. or Ph.D. Student: currently pursuing a degree in Data Science, Computer Science, Math, Physics, Economics, Statistics, or other quantitative fields with an expected graduation date between Dec 2027 - 2029. Graduate degrees are preferred, but not a must.
Strong ML Fundamentals: solid understanding of the mathematical foundations of machine learning, statistics, probability, and optimization
Strong Interest or Experience with AI: curiosity and drive to integrate cutting edge LLMs and agents into applied solutions
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
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
Nice to Haves
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)
Compensation
The monthly rate for this internship is $12,500 USD + housing stipend
Ramp Benefits
Apple MacBook
Catered lunches in NYC office Monday-Friday
Weekly coffee stipend
Benefits available to all full-time Ramp employees (Global)
Flexible PTO
Centralized home-office equipment ordering
Health and wellness stipend
Budget for intra-office travel
Weekly coffee stipend
United States
100% medical, dental & vision insurance coverage for you, with partial coverage for dependents
One Medical annual membership
401(k), including employer match on contributions made while employed by Ramp
Fertility HRA (up to $10,000 per year)
Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay
Pet insurance
In-office perks: lunch, snacks, drinks, and more
Relocation expense coverage to NYC or SF (if needed)
Canada
Group medical, dental, and vision coverage through Sun Life
Life, AD&D, and disability coverage
Fertility drug coverage (up to $4,000 lifetime)
Group Retirement Plan with employer match (RRSP + DPSP)
Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay
Employee Assistance Program and virtual care through Lumino Health
United Kingdom
Private medical insurance through Freedom Elite
Virtual GP and at-home care via eMed x Livi
Workplace pension through Penfold, with salary sacrifice option
Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay
Referral Instructions
If you are being referred for the role, please contact that person to apply on your behalf.
Other notices
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Beware of recruiting scams: Ramp will only contact you through official @Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.
Location
New York, NY (HQ)
Employment Type
Intern
Location Type
Hybrid
Department
Data
Compensation
- $12.5K per month
The final compensation will depend on the location and level at which the candidate is hired.
About Ramp
Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $200B in annualized spend flows in and out of 70,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books.
The problems are high-stakes, data-dense, and unforgiving.
We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome.
The median Ramp customer saves 5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same.
If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it.
About the Role
The Applied Science team builds models and tools that solve Ramp’s most critical problems: from underwriting businesses to combatting fraud to making spend management smarter. We’re deeply embedded in the business and provide a quantitative foundation for decision making.
As an Applied Science intern, you’ll be a fully integrated member of the team and own your project from start to finish. Working with engineers, product managers, and business stakeholders, you’ll translate complex business needs into scalable machine-learning-driven solutions. This is a chance to apply ML concretely, ship code, and create genuine value for Ramp and our customers.
You will focus on exciting problems in areas like: credit, fraud, growth, or our core product.
What You’ll Do
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
What You Need
B.S., M.S. or Ph.D. Student: currently pursuing a degree in Data Science, Computer Science, Math, Physics, Economics, Statistics, or other quantitative fields with an expected graduation date between Dec 2027 - 2029. Graduate degrees are preferred, but not a must.
Strong ML Fundamentals: solid understanding of the mathematical foundations of machine learning, statistics, probability, and optimization
Strong Interest or Experience with AI: curiosity and drive to integrate cutting edge LLMs and agents into applied solutions
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
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
Nice to Haves
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)
Compensation
The monthly rate for this internship is $12,500 USD + housing stipend
Ramp Benefits
Apple MacBook
Catered lunches in NYC office Monday-Friday
Weekly coffee stipend
Benefits available to all full-time Ramp employees (Global)
Flexible PTO
Centralized home-office equipment ordering
Health and wellness stipend
Budget for intra-office travel
Weekly coffee stipend
United States
100% medical, dental & vision insurance coverage for you, with partial coverage for dependents
One Medical annual membership
401(k), including employer match on contributions made while employed by Ramp
Fertility HRA (up to $10,000 per year)
Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay
Pet insurance
In-office perks: lunch, snacks, drinks, and more
Relocation expense coverage to NYC or SF (if needed)
Canada
Group medical, dental, and vision coverage through Sun Life
Life, AD&D, and disability coverage
Fertility drug coverage (up to $4,000 lifetime)
Group Retirement Plan with employer match (RRSP + DPSP)
Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay
Employee Assistance Program and virtual care through Lumino Health
United Kingdom
Private medical insurance through Freedom Elite
Virtual GP and at-home care via eMed x Livi
Workplace pension through Penfold, with salary sacrifice option
Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay
Referral Instructions
If you are being referred for the role, please contact that person to apply on your behalf.
Other notices
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Beware of recruiting scams: Ramp will only contact you through official @Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.
Applied Scientist Internship Market
Who's Hiring
Top Industries Hiring
- Technology & Software
Tips for Your Applied Scientist Internship Search
Apply before the fall recruiting window closes
Large employers recruit summer applied scientist interns the preceding fall, with many structured cohorts filling before winter break. Smaller companies and co-op programs post closer to start dates, so openings appear year-round. Starting your search in August or September for summer roles keeps you ahead of the majority of applicants.
Build a project portfolio that replaces work history
Applied scientist intern screens focus on what you can do, not where you have worked. Document two or three end-to-end research or modeling projects with clear problem statements, methods, results, and linked code repositories or write-ups. Reviewers need something concrete to assess, and a portfolio gives them that before you reach the interview stage.
Work your campus network alongside direct applications
Campus career fairs surface structured internship programs tied to your university, and professors or career center staff often know which employers recruit from your school before roles post publicly. Pair that intelligence with direct applications to companies running smaller applied scientist cohorts, so you reach openings that never appear at on-campus events.
Practice your technical screen out loud before you apply
Applied scientist intern screens typically include a coding round on data structures and algorithms, plus a component testing machine learning or statistical reasoning. Practice by solving problems out loud and explaining your reasoning step by step, since interviewers weigh how you think through a problem as much as whether you reach the correct final answer.
Target structured applied scientist programs at larger companies
Many large tech and research organizations run cohort-based applied scientist or research scientist internship programs built to train candidates new to industry. These programs recruit early and fill fast. Identify the ones that align with your research area and graduate program, then apply in the first application wave rather than waiting for later postings.
Set your work-type filter before you start
On-site roles are 55% of the applied scientist internships listed here. Decide what you can realistically commit to before you begin searching, then filter by location and work type on Migrate Mate so you spend your time on roles you can actually take rather than sorting through listings that don't fit your situation.
Applied Scientist Internships: Frequently Asked Questions
How do I get an applied scientist internship?
Lead with coursework and personal projects rather than work history, since hiring teams expect limited experience at the intern level. For applied scientist candidates, a linked portfolio of documented research projects or model experiments gives recruiters something concrete to assess. Combine direct applications with campus career fairs, where recruiters often move faster for students they meet in person.
Can an applied scientist internship turn into a full-time job?
Many employers extend return offers to strong interns, but conversion is never guaranteed. For applied scientist interns, what actually drives it is the quality of your project contributions, whether the team has open headcount at offer time, and how early in the internship you clarify return-offer timing with your manager. Perform well on real work and ask about the process early, without counting on a specific outcome.
When should I apply for applied scientist internships?
Earlier than most expect. Large tech and research employers recruit summer applied scientist interns the preceding fall, often opening applications in August or September. Smaller companies and co-op programs post closer to start dates, so openings appear year-round. Checking listings regularly and applying as soon as a role opens gives you the best chance at structured cohorts that fill quickly.
Are applied scientist internships paid?
Most professional applied scientist internships in the U.S. are paid. Compensation varies by company size, industry, and location, and listings show it where the employer discloses it. Stipends, housing allowances, and relocation support also differ across employers, so read each listing carefully for the full picture.
What should an applied scientist internship resume include?
Lead with projects, not work history. Include two or three complete, documented projects that name the tools and methods used, with links to code repositories, published analyses, or research write-ups so reviewers can assess your work directly. Add relevant coursework, any research experience or publications, and keep the whole resume to one page.
Are there remote applied scientist internships?
Yes. Remote and hybrid roles make up 45% of the applied scientist internship listings here, with the rest on-site. Remote cohorts fill fast, so apply early once you decide what works for your situation and filter by work type to see them without sorting through roles you cannot take.
What is a research scientist internship program at a large tech company?
Several large tech and research organizations run structured applied scientist or research scientist internship programs that recruit specifically from graduate programs in machine learning, statistics, and related fields. These programs are competitive, recruit early in the academic year, and are designed for candidates new to industry research. Identify which programs align with your research area and apply in the first wave.
Can international students get applied scientist internships?
Yes. F-1 students can intern through CPT while enrolled or through OPT work authorization after finishing a degree, and the employer does not have to file anything for either, so many companies are open to international interns. Confirm your eligibility and timing with your university's international student office before accepting an offer.
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