ZipRecruiter

Log In

1

Internship Learning Sciences Jobs (NOW HIRING)

Strayos

$13 - $17.50/hr

... Scientist internship opportunity ... Here at Strayos, we use advanced computer vision and machine learning on images and machine sensors ...

Nexus Family Healing

Intern

Waite Park, MN · On-site

$14.25 - $19/hr

... criteria for an internship learning objectives. * Participates in the orientation and the ... Must be enrolled in a Bachelors degree program in one of the Behavioral Sciences, Human Services ...

Nexus Family Healing

Intern

Onarga, IL · On-site

$14.25 - $19/hr

... criteria for an internship learning objectives. * Participates in the orientation and the ... the behavioral sciences, human services, or related fields, from an accredited college or ...

Nexus Family Healing

Intern

Onarga, IL · On-site

$14.25 - $19/hr

... criteria for an internship learning objectives. * Participates in the orientation and the ... the behavioral sciences, human services, or related fields, from an accredited college or ...

next page

Showing results 1-20

All JobsLearning Sciences JobsInternship Learning Sciences Jobs

Internship Learning Sciences information

See salary details

$8

$17

$24

How much do internship learning sciences jobs pay per hour?

As of Jul 15, 2026, the average hourly pay for internship learning sciences in the United States is $17.04, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $19.23 per hour, depending on experience, location, and employer.

What are the big 4 internships?

The 'Big 4' internships typically refer to internship programs offered by the four largest professional services firms: Deloitte, PricewaterhouseCoopers (PwC), Ernst & Young (EY), and KPMG. These internships provide experience in consulting, auditing, tax, and advisory services and are highly competitive for students pursuing careers in business, finance, or consulting. Interns often gain skills in data analysis, problem-solving, and industry-specific tools during these programs.

What is the difference between Internship Learning Sciences vs Learning Designer?

AspectInternship Learning SciencesLearning Designer
Required CredentialsTypically pursuing or recent graduate in Education, Psychology, or related fieldsOften holds a degree in Education, Instructional Design, or related areas
Work EnvironmentInternship setting, often in educational or corporate training environmentsDesigning and developing learning experiences, usually in educational or corporate sectors
Employer & Industry UsageUsed by educational institutions, edtech companies, and training organizations for entry-level rolesCommon in e-learning companies, corporate training departments, and educational publishers

Internship Learning Sciences focuses on gaining practical experience in understanding how people learn, often as a stepping stone to a career in educational research or instructional design. Learning Designer roles involve creating and developing learning materials and experiences, requiring more advanced skills and experience. Both roles are integral to education and training industries but differ mainly in experience level and scope of responsibilities.

What does a learning scientist do?

A learning scientist researches how people learn and applies this knowledge to improve educational methods, tools, and environments. They analyze data, develop instructional strategies, and often use technology or data analysis software to design effective learning experiences.

What do science interns do?

Science interns assist with research projects by collecting and analyzing data, conducting experiments, and supporting scientific teams. They often use tools like statistical software and laboratory equipment, gaining practical experience in scientific methods and data management during their internship period.

What is a L&D intern?

A Learning and Development (L&D) intern is a temporary position focused on supporting training programs, employee development, and instructional design within an organization. L&D interns often assist with creating training materials, conducting research, and using tools like learning management systems (LMS).
What cities are hiring for Internship Learning Sciences jobs? Cities with the most Internship Learning Sciences job openings:
What are the most commonly searched types of Learning Sciences jobs? The most popular types of Learning Sciences jobs are:
What states have the most Internship Learning Sciences jobs? States with the most job openings for Internship Learning Sciences jobs include:
Internship Learning Sciences jobs near you
Machine Learning Internship - PhD: 2027

Machine Learning Internship - PhD: 2027

Susquehanna International Group, LLP

Philadelphia, PA • On-site

Full-time, Internship

Posted 7 days ago

Job description

Overview
Our Machine Learning PhD Internship is a 10-week immersive experience designed for PhD candidates who are passionate about solving high-impact problems at the intersection of data, algorithms, and markets.
As a Machine Learning Intern at Susquehanna, you'll work on high-impact projects that closely reflect the challenges and workflows of our full-time research team. You'll apply your technical expertise in machine learning and data science to real-world financial problems, while developing a deep understanding of how machine learning integrates into Susquehanna's research and trading systems. You will leverage vast and diverse datasets and apply cutting-edge machine learning at scale to drive data-informed decisions in predictive modeling to strategic execution.
What You Can Expect
  • Conduct research and develop ML models to identify patterns in noisy, non-stationary data
  • Work side-by-side with our Machine Learning team on real, impactful problems in quantitative trading and finance, bridging the gap between cutting-edge ML research and practical implementation
  • Collaborate with researchers, developers, and traders to improve existing models and explore new algorithmic approaches
  • Design and run experiments using the latest ML tools and frameworks
  • One-on-one mentorship from experienced researchers and technologists
  • Participate in a comprehensive education program with deep dives into Susquehanna's ML, quant, and trading practices
  • Apply rigorous scientific methods to extract signals from complex datasets and shape our understanding of market behavior
  • Explore various aspects of machine learning in quantitative finance from alpha generation and signal processing to model deployment and risk-aware decision making

What we're looking for
  • Currently pursuing a PhD in Computer Science, Machine Learning, Statistics, Physics, Applied Mathematics, or a closely related field
  • Proven experience applying machine learning techniques in a professional or academic setting
  • Strong publication record in top-tier conferences such as NeurIPS, ICML, or ICLR
  • Hands-on experience with machine learning frameworks, including PyTorch and TensorFlow
  • Deep interest in solving complex problems and a drive to innovate in a fast-paced, competitive environment

Why Join Us?
  • Work with a world-class team of researchers and technologists
  • Access to unparalleled financial data and computing resources
  • Opportunity to make a direct impact on trading performance
  • Collaborative, intellectually stimulating environment with global reach

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.

Apply