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Internship Applied Scientist Machine Learning Jobs in New Rochelle, NY

Ramp

Senior Applied Scientist, Credit Risk

New York, NY · On-site

$165K - $228K/yr

You'll work at the intersection of machine learning, statistics, economics, and product strategy ... Applied scientists at Ramp focus on solving quantitative problems across credit, fraud, growth, and ...

Ramp

Senior Applied Scientist, Credit Risk

Manhattan, NY · On-site

$120 - $160/hr

You'll work at the intersection of machine learning, statistics, economics, and product strategy ... Applied scientists at Ramp focus on solving quantitative problems across credit, fraud, growth, and ...

Garner Health

Staff Applied Scientist

New York, NY · Hybrid

Choose the right approach for each problem, from machine learning to optimization to heuristics to ... Review Applied Science work at the highest level across the company, ensuring the methods used ...

Garner Health

Staff Applied Scientist

New York, NY · Hybrid

Choose the right approach for each problem, from machine learning to optimization to heuristics to ... Review Applied Science work at the highest level across the company, ensuring the methods used ...

Garner Health

Staff Applied Scientist

New York, NY · On-site

Choose the right approach for each problem, from machine learning to optimization to heuristics to ... Review Applied Science work at the highest level across the company, ensuring the methods used ...

Garner Health

Applied Scientist II

New York, NY · On-site

Garner is hiring Applied Scientists to design and ship the algorithmic systems at the core of our ... Choose the right approach for each problem, from machine learning to optimization to heuristics to ...

Garner Health

Applied Scientist II

New York, NY · Hybrid

We are seeking an exceptional Applied Scientist II to join our Applied Science team. Garner is ... Choose the right approach for each problem, from machine learning to optimization to heuristics to ...

Garner Health

Staff Applied Scientist

New York, NY · On-site

$260K - $382K/yr

Choose the right approach for each problem, from machine learning to optimization to heuristics to ... Review applied science work at the highest level across the company, ensuring the methods used ...

Socket.dev

Applied Scientist II

Manhattan, NY · On-site

$158 - $190/hr

We are seeking an exceptional Applied Scientist II to join our Applied Science team. Garner is ... Choose the right approach for each problem, from machine learning to optimization to heuristics to ...

New

Garner Health

Senior Applied Scientist

New York, NY · On-site

$236K - $260K/yr

We are seeking an exceptional Senior Applied Scientist to join our Applied Science team. In this ... Choose the right approach for each problem, from machine learning to optimization to heuristics to ...

Garner Health

Applied Scientist III

New York, NY · On-site

$236K - $260K/yr

We are seeking an exceptional Senior Applied Scientist to join our Applied Science team. In this ... Choose the right approach for each problem, from machine learning to optimization to heuristics to ...

Garner Health

Applied Scientist III

New York, NY · On-site

We are seeking an exceptional Senior Applied Scientist to join our Applied Science team. In this ... Choose the right approach for each problem, from machine learning to optimization to heuristics to ...

Garner Health

Staff Applied Scientist

New York, NY · On-site

Choose the right approach for each problem, from machine learning to optimization to heuristics to ... Review applied science work at the highest level across the company, ensuring the methods used ...

Garner Health

Applied Scientist III

New York, NY · On-site

We are seeking an exceptional Senior Applied Scientist to join our Applied Science team. In this ... Choose the right approach for each problem, from machine learning to optimization to heuristics to ...

Garner Health

Staff Applied Scientist

New York, NY

Choose the right approach for each problem, from machine learning to optimization to heuristics to ... Review applied science work at the highest level across the company, ensuring the methods used ...

Garner Health

Senior Applied Scientist

New York, NY

We are seeking an exceptional Senior Applied Scientist to join our Applied Science team. In this ... Choose the right approach for each problem, from machine learning to optimization to heuristics to ...

Garner Health

Senior Applied Scientist

New York, NY · On-site

We are seeking an exceptional Senior Applied Scientist to join our Applied Science team. In this ... Choose the right approach for each problem, from machine learning to optimization to heuristics to ...

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All JobsApplied Scientist Machine Learning JobsInternship Applied Scientist Machine Learning JobsInternship Applied Scientist Machine Learning Jobs in New Rochelle, NY

Internship Applied Scientist Machine Learning information

See New Rochelle, NY salary details

$26.2K

$43.8K

$90.6K

How much do internship applied scientist machine learning jobs pay per year?

As of Aug 19, 2026, the average yearly pay for internship applied scientist machine learning in New Rochelle, NY is $43,821.00, according to ZipRecruiter salary data. Most workers in this role earn between $33,400.00 and $47,300.00 per year, depending on experience, location, and employer.

What does an internship applied scientist in machine learning do?

An Internship Applied Scientist in Machine Learning works on real-world projects involving the design, development, and evaluation of machine learning models and algorithms. Their responsibilities typically include data analysis, building predictive models, experimenting with new techniques, and collaborating with engineers and researchers to solve complex problems. Interns gain hands-on experience with tools like Python, TensorFlow, or PyTorch, and contribute to advancing the company's AI capabilities. The role requires a strong foundation in mathematics, statistics, and computer science, as well as the ability to communicate findings to both technical and non-technical stakeholders.

What types of projects do internship applied scientists in machine learning typically work on, and how do they contribute to the team's goals?

Internship Applied Scientists in Machine Learning often collaborate with multidisciplinary teams to tackle real-world problems using data-driven approaches. Typical projects might include developing and fine-tuning machine learning models, conducting experiments to validate hypotheses, or assisting in the deployment of algorithms into production systems. Interns are expected to contribute fresh perspectives, help with data preprocessing, and perform thorough model evaluations. Through these projects, interns gain hands-on experience while directly supporting the team's research and product development objectives.

What are the key skills and qualifications needed to thrive as an internship applied scientist in machine learning, and why are they important?

To thrive as an Internship Applied Scientist in Machine Learning, you need a solid background in mathematics, statistics, and computer science, often supported by coursework or research experience in machine learning and data analysis. Familiarity with tools such as Python, TensorFlow, PyTorch, and experience working with large datasets are highly valued, along with knowledge of version control systems like Git. Strong problem-solving skills, curiosity, and the ability to communicate complex concepts clearly set top candidates apart. These competencies are crucial for effectively designing, implementing, and presenting machine learning solutions that address real-world challenges.

What is the difference between Internship Applied Scientist Machine Learning vs Internship Data Scientist?

AspectInternship Applied Scientist Machine LearningInternship Data Scientist
Required CredentialsRelevant degrees in Computer Science, Data Science, or related fields; knowledge of ML frameworksDegrees in Statistics, Data Science, or related fields; strong analytical skills
Work EnvironmentResearch and development teams, focus on ML model developmentBusiness teams, focus on data analysis and insights
Employer & Industry UsageTech companies, AI-focused organizationsVarious industries including tech, finance, healthcare
Comparison Search IntentUnderstanding roles in ML research and developmentUnderstanding data analysis and business insights roles

Internship Applied Scientist Machine Learning roles focus on developing and applying machine learning models, often in research settings. In contrast, Internship Data Scientist positions emphasize analyzing data to generate insights for business decisions. Both roles require strong analytical skills and relevant educational backgrounds, but they differ in their primary focus and work environment.

What job categories do people searching Internship Applied Scientist Machine Learning jobs in New Rochelle, NY look for?

The top searched job categories for Internship Applied Scientist Machine Learning jobs in New Rochelle, NY are:

What cities near New Rochelle, NY are hiring for Internship Applied Scientist Machine Learning jobs?

Cities near New Rochelle, NY with the most Internship Applied Scientist Machine Learning job openings:

Internship Applied Scientist Machine Learning jobs near you
Infographic showing various Internship Applied Scientist Machine Learning job openings in New Rochelle, NY as of June 2026, with employment types broken down into 2% As Needed, 39% Full Time, 56% Part Time, and 3% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $43,821 per year, or $21.1 per hour.

Senior Applied Scientist, Credit Risk

Ramp

New York, NY • On-site

$165K - $228K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 9 days ago

Job description

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
We're looking for a Senior Applied Scientist to help drive the future of credit applied science at Ramp. In this role, you will design, build, and optimize the models that power our credit risk systems, helping us make faster, smarter, and more scalable risk decisions for our customers.
You'll work at the intersection of machine learning, statistics, economics, and product strategy. This role requires strong technical depth as well as close collaboration with business, product, data, and engineering partners. You will help identify high-impact opportunities, translate ambiguous business problems into rigorous modeling work, and ship models that operate reliably in production.
Applied scientists at Ramp focus on solving quantitative problems across credit, fraud, growth, and our core product by applying the right mix of machine learning, causal inference, structural modeling, and optimization.
What You'll Do
  • Design, build, and optimize machine learning models that support credit risk decisioning and portfolio management at Ramp
  • Own the full applied science development lifecycle, from data exploration and feature development to model prototyping, deployment, monitoring, and iteration
  • Investigate and evaluate new data sources, including structured and unstructured data, and integrate them into credit models where appropriate
  • Develop backtesting, validation, and monitoring frameworks to evaluate model performance and business impact
  • Apply methods from machine learning, statistics, causal inference, optimization, and economics to solve core business problems
  • Generate and communicate data-driven insights that influence product, risk, and company strategy
  • Partner with product, business, engineering, and data stakeholders to translate ambiguous problems into clear objectives, scoped opportunities, and a practical applied science roadmap
  • Contribute to best practices for model development, experimentation, documentation, testing, and production reliability

What You Need
  • Bachelor's degree or above in Math, Economics, Bioinformatics, Statistics, Engineering, Computer Science, or other quantitative fields.
  • 5+ years of industry experience as an Applied Scientist, Machine Learning Engineer, Research Scientist, or equivalent; or 3+ years of industry experience with a PhD
  • Strong familiarity with the mathematical fundamentals of advanced statistics, machine learning, optimization, and/or economics
  • Experience working with large datasets using Python and SQL
  • Strong Python experience across exploratory data analysis, predictive modeling, and applied machine learning, using tools such as NumPy, pandas, scikit-learn, PyTorch, or similar libraries
  • Strong communication: the ability to bridge technical methodology to meaningful data narratives to drive company decisions and strategy
  • Track record of shipping high-quality machine learning products in production and at scale
  • Ability to thrive in a fast-paced, constantly improving, start-up environment that focuses on solving problems with iterative technical solutions

Nice-to-Haves
  • PhD in Math, Economics, Bioinformatics, Statistics, Engineering, Computer Science, or other quantitative fields
  • Strong perspective on data science engineering development cycle (data modeling, version control, documentation + testing, best practices for codebase development)
  • Familiarity with data orchestration platforms (Airflow, Dagster, Prefect)
  • Experience at a high-growth startup
  • Experience leveraging AI/LLMs for development or for internal workflows

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.
Ramp Applicant Privacy Notice

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