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Internship Machine Learning Jobs in Philadelphia, PA

Strong foundation in statistics and machine learning concepts (regression, classification ... Previous internship or project experience demonstrating practical data science applications.

Previous projects or internship experience involving machine learning or AI (especially work with LLMs or NLP projects). * Experience with ML ops or model deployment (e.g. using cloud AI services ...

Showing results 41-60

Internship Machine Learning information

See Philadelphia, PA salary details

$25.7K

$43K

$88.8K

How much do internship machine learning jobs pay per year?

As of Aug 9, 2026, the average yearly pay for internship machine learning in Philadelphia, PA is $42,971.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,800.00 and $46,400.00 per year, depending on experience, location, and employer.

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

AspectInternship Machine LearningData Science Intern
Required CredentialsBasic programming, introductory ML knowledgeStatistics, programming, data analysis basics
Work EnvironmentHands-on ML model development, codingData analysis, visualization, reporting
Industry UsageTech, AI companies, research labsBusiness, finance, healthcare sectors

Internship Machine Learning focuses on developing and implementing machine learning models, requiring programming and ML fundamentals. Data Science Internships involve analyzing data, creating reports, and supporting decision-making. Both roles are common in tech and research industries, but ML internships are more specialized in model building, while Data Science internships emphasize data analysis and visualization.

What are the key skills and qualifications needed to thrive as an internship machine learning?

To thrive as a Machine Learning Intern, you generally need a solid grounding in mathematics, programming (especially Python), and familiarity with machine learning concepts, often supported by coursework or relevant projects. Experience with tools and libraries like TensorFlow, scikit-learn, and Jupyter Notebooks, as well as knowledge of version control systems like Git, is typically expected. Strong problem-solving skills, willingness to learn, and effective communication set outstanding interns apart. These skills and qualities enable interns to contribute meaningfully to projects, adapt quickly, and collaborate well within technical teams.

What is an internship machine learning?

Internship machine learning positions are temporary roles for students or recent graduates to gain hands-on experience in the field of machine learning. Interns typically work on real-world projects involving data analysis, model development, and algorithm implementation under the guidance of experienced professionals. These internships provide valuable exposure to machine learning tools, programming languages such as Python, and industry best practices. They are an excellent way to build technical skills, enhance your resume, and explore career opportunities in artificial intelligence and data science.

What types of projects can I expect to work on during a machine learning internship?

As a Machine Learning intern, you may work on a variety of projects such as data preprocessing and cleaning, developing and testing machine learning models, or assisting with research experiments. These projects often involve collaborating closely with data scientists and engineers, learning to use popular frameworks like TensorFlow or PyTorch, and presenting your findings to the team. The scope and complexity of your assignments will typically grow as you demonstrate proficiency and initiative, providing valuable real-world experience and networking opportunities.
What are the most commonly searched types of Machine Learning jobs in Philadelphia, PA? The most popular types of Machine Learning jobs in Philadelphia, PA are:
What are popular job titles related to Internship Machine Learning jobs in Philadelphia, PA? For Internship Machine Learning jobs in Philadelphia, PA, the most frequently searched job titles are:
What job categories do people searching Internship Machine Learning jobs in Philadelphia, PA look for? The top searched job categories for Internship Machine Learning jobs in Philadelphia, PA are:
Infographic showing various Internship Machine Learning job openings in Philadelphia, PA as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $42,971 per year, or $20.7 per hour.

Quantitative Trader Internship: Summer 2027

Susquehanna International Group, LLP

Philadelphia, PA โ€ข On-site

Full-time, Temporary, Internship

Re-posted 24 days ago


Job description

Overview
Susquehanna's trading internship provides a distinctive opportunity to learn about quantitative trading. Splitting their day between working on a trading desk and education in a classroom setting, interns receive the best preparation possible for careers in quant trading. During their time on the trading floor, interns will be fully embedded within a trading desk, working side by side with an experienced trader who will serve as a mentor. While in education, interns will receive industry-leading training in options theory and decision science from traders fully dedicated to trader development. Students with a STEM background can leverage their quantitative skills and learn how Susquehanna uses game theory, decision science, and cutting-edge technology to make trading decisions. The goal of the program is to provide interns with a deep exposure to trading, so they can decide if it is what they want to pursue full-time.
What we're looking for
    • Intention to graduate with a minimum of a bachelors degree and begin full time employment by August 2028
    • Exceptional quantitative, logical reasoning, and analytical skills
    • General computer skills required; computer programming skills a plus
    • Demonstrated interest in strategic games and/or competitive activities
    • Ability to thrive in a fast-paced and competitive environment
    • Visa sponsorship is available for this position

What's in it for you:
    • Our non-hierarchical culture allows employees of every level to thrive and make impact. We are not your typical trading firm - the environment is casual, collaborative and we focus on continuous development.
    • Housing provided for duration of internship
    • Relaxed dress code: jeans and sneakers are the norm, shorts all summer long
    • Fully stocked kitchens for breakfast, lunch, snacks, and beverages
    • A forty thousand square-foot state of the art fitness facility with brand-new equipment, multi-purpose courts, group exercise classes, and locker room spaces
    • Discounts for dining, entertainment, shopping, travel, and attractions
    • Social events including a poker tournament, dinners, and sporting events in Philadelphia
    • On-site Wellness Center
    • On-site services such as a mailroom, barber, dry cleaning, and car maintenance
    • Opportunities to give back to the community through Susquehanna sponsored events and donation drives

About Susquehanna
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.
If you're a recruiting agency and want to partner with us, please reach out to recruiting@sig.com. Any resume or referral submitted in the absence of a signed agreement will not be eligible for an agency fee.