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Internship Research Assistant Machine Learning Jobs in Philadelphia, PA

Temple University

Research Assistant

Philadelphia, PA · On-site

$19.50 - $26.75/hr

The Research Assistant in the College of Science & Technology's Biology division is responsible for ... machines, cell culture equipment micro-injection apparatuses, regular and confocal microscopes, etc.

Health Promotion Council

Research Assistant

Philadelphia, PA · On-site

$18.50 - $25.25/hr

... learning. The Research Assistant will report to a Senior Project Director and should be prepared to work on multiple evaluation and research projects, supporting data collection, analysis, and ...

Villanova University

Research Assistant

Villanova, PA · On-site

$15/hr

Research Assistant Position Type: Temp/Intern Location: Villanova, PA Work Schedule: temporary ... machine, drill press, annular cutter, circular saw, compound miter saw, concrete/brick saw, angle ...

Vangard, Inc.

Senior Machine Learning Engineer

Malvern, PA · On-site

$102K - $140K/yr

Design, build, and maintain end-to-end machine learning pipelines from research through production deployment. * Engineer scalable training, inference, and retraining workflows using AWS SageMaker.

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How much do internship research assistant machine learning jobs pay per hour?

As of Sep 1, 2026, the average hourly pay for internship research assistant machine learning in Philadelphia, PA is $19.50, according to ZipRecruiter salary data. Most workers in this role earn between $15.05 and $23.27 per hour, depending on experience, location, and employer.

What is the difference between Internship Research Assistant Machine Learning vs Research Assistant Data Science?

AspectInternship Research Assistant Machine LearningResearch Assistant Data Science
Required CredentialsUndergraduate or graduate in CS, AI, or related fieldsUndergraduate or graduate in CS, Statistics, or related fields
Work EnvironmentAcademic labs, research institutions, tech companiesAcademic institutions, research centers, industry
Employer & Industry UsageUniversities, research firms, tech companies focusing on AI/MLUniversities, research organizations, data-driven industries
Common Search & ComparisonYesYes

The Internship Research Assistant Machine Learning and Research Assistant Data Science roles share similarities in educational background and work environments. However, the Machine Learning position emphasizes AI and ML-specific skills, while Data Science focuses more on statistical analysis and data management. Both roles are common in academic and industry settings, often compared by students and professionals exploring research opportunities in data-driven fields.

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For Internship Research Assistant Machine Learning jobs in Philadelphia, PA, the most frequently searched job titles are:

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Cities near Philadelphia, PA with the most Internship Research Assistant Machine Learning job openings:

Internship Research Assistant Machine Learning jobs near you
Infographic showing various Internship Research Assistant Machine Learning job openings in Philadelphia, PA as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 23% Part Time, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $40,565 per year, or $19.5 per hour.

Quantitative Research Internship - PhD: Summer 2027

Susquehenna International Group

Bala Cynwyd, PA • On-site

Other

This job post has expired today. Applications are no longer accepted.

Job description

Quantitative Research Intern

As a Quantitative Research Intern at Susquehanna, you will work on projects that model the work of our full-time employees. You will also go through a comprehensive education program and interact with mentors who are at the top of their field, allowing you to build foundational knowledge in quantitative finance. You will have the opportunity to build alphas on an actual trading strategy.

What you can expect:

  • Modelling: Apply probability theory, statistical analysis, and machine learning techniques to predict market behavior and generate alphas
  • Execution: Create strategies to execute on modelling ideas under simulated competition
  • Evaluation: Backtest ideas using historical market data and revise strategies
  • Breadth: Explore all aspects of quant work and different areas of Susquehanna's business
  • Education: Participate in a comprehensive education program and receive personalized mentorship from experienced professionals to accelerate your growth
  • Collaboration: Work in an open environment that allows you to collaborate with multiple teams and get exposure to different groups and parts of the business

Susquehanna combines all of the above to provide the best quant internship program in the industry. Join us to see why so many previous quant interns decide to return for a full-time career.

What we're looking for:

  • PhDs (in penultimate or final year) in quantitative fields such as mathematics, physics, statistics, electrical engineering, computer science, operations research, or economics
  • Analytical problem-solvers with excellent logical reasoning and a passion for turning data into decisions
  • Clear communicators in a fast-paced and highly collaborative environment
  • Programmers comfortable processing and analyzing large data sets in Python; experience with C++ (or another low-level language) is a plus
  • Strategic thinkers with demonstrated interests in strategic games and/or competitive activities
  • Self-motivated and quick to learn, thriving in dynamic, fast-moving environment

By applying to this role, you will be automatically considered for the Quantitative Systematic Trading Internship program. There is no need to apply to both positions to be considered for both.

Susquehanna is a global quantitative trading firm powered by scientific rigor, curiosity, and innovation. Our culture is intellectually driven and highly collaborative, bringing together researchers, engineers, and traders to design and deploy impactful strategies in our systematic trading environment. To meet the unique challenges of global markets, Susquehanna applies machine learning and advanced quantitative research to vast datasets in order to uncover actionable insights and build effective strategies. By uniting deep market expertise with cutting-edge technology, we excel in solving complex problems and pushing boundaries together.

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