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Internship Applied Sport Science Jobs (NOW HIRING)

Strayos

$13 - $17.50/hr

Our applied science team uses these datasets to better understand our customers critical business operations and how it is changing. We are seeking three exceptional students with experience ...

Sporting Kansas City

Lead and leverage sport science interns to maximize data science efficiency and grow the department. * Provide insights into workload trends, performance benchmarks, return-to-play indicators, and ...

Exos

Sports Performance Intern - Fall 2026

Phoenix, AZ · On-site

$15 - $19.75/hr

Internship Requirements: * Enrolled in a bachelor's or master's program specializing in sport science, kinesiology, exercise physiology, exercise science, etc. * Must be in a program accepting course ...

Exos

Sports Performance Intern - Fall 2026

Gulf Breeze, FL · On-site

$13.75 - $18.25/hr

Internship Requirements: * Enrolled in a bachelor's or master's program specializing in sport science, kinesiology, exercise physiology, exercise science, etc. * Must be in a program accepting course ...

Exos

Sports Performance Intern - Spring 2026

Plano, TX · On-site

$14.25 - $19.25/hr

Internship Requirements: * Enrolled in a bachelor's or master's program specializing in sport science, kinesiology, exercise physiology, exercise science, etc. * Must be in a program accepting course ...

Exos

Sports Performance Intern - Fall 2026

Phoenix, AZ · On-site

$15 - $19.75/hr

Internship Requirements: * Enrolled in a bachelor's or master's program specializing in sport science, kinesiology, exercise physiology, exercise science, etc. * Must be in a program accepting course ...

Exos

Sports Performance Intern - Fall 2026

Phoenix, AZ

$15 - $19.75/hr

Internship Requirements: * Enrolled in a bachelor's or master's program specializing in sport science, kinesiology, exercise physiology, exercise science, etc. * Must be in a program accepting course ...

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Internship Applied Sport Science information

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How much do internship applied sport science jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for internship applied sport science in the United States is $17.31, 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 is the difference between Internship Applied Sport Science vs Internship Exercise Physiologist?

AspectInternship Applied Sport ScienceInternship Exercise Physiologist
Required CredentialsUndergraduate degree in sports science, kinesiology, or related fieldUndergraduate degree in exercise physiology, kinesiology, or related field
Work EnvironmentSports teams, athletic facilities, research labsClinics, hospitals, fitness centers
Employer & Industry UsageSports organizations, universities, research institutionsHealthcare providers, rehabilitation centers, fitness industry
Common Search & ComparisonInternship Applied Sport Science vs Internship Exercise Physiologist

Internship Applied Sport Science typically focuses on supporting athletic performance through research, data analysis, and training strategies, often within sports teams or research settings. In contrast, an Internship Exercise Physiologist emphasizes clinical assessment and rehabilitation, working in healthcare or fitness environments. Both internships require related degrees but differ in work setting and focus area.

What types of projects or hands-on experiences can I expect during an internship applied sport science?

As an Applied Sport Science intern, you can expect to work closely with sport scientists, coaches, and athletes on a variety of projects, such as performance testing, data collection, and biomechanical analysis. Interns often assist in setting up equipment, monitoring training sessions, and analyzing athlete data to support performance improvements. You may also have opportunities to contribute to research studies, help interpret findings, and present results to the team. This role provides a dynamic environment where collaboration, problem-solving, and adaptability are key to gaining practical skills in the field.

What are the key skills and qualifications needed to thrive as an internship applied sport science, and why are they important?

To thrive as an Internship Applied Sport Science, you need a solid understanding of exercise physiology, biomechanics, and data analysis, usually supported by a degree or coursework in sport science or a related field. Familiarity with performance monitoring tools, statistical software, and athlete management systems is typically expected. Strong communication, teamwork, and problem-solving abilities help interns collaborate effectively with coaches, athletes, and multidisciplinary staff. These skills ensure accurate data collection, effective athlete support, and valuable contributions to performance development environments.

What is an internship applied sport science?

An Internship in Applied Sport Science is a structured work experience program designed for students or recent graduates interested in applying scientific principles to improve athletic performance and health. Interns typically work with teams, athletes, or research groups to collect and analyze data, assist with training programs, and support sport science staff in day-to-day operations. This hands-on experience helps interns develop practical skills in areas such as biomechanics, physiology, nutrition, and performance analysis, preparing them for future roles in sports science or related fields.
What cities are hiring for Internship Applied Sport Science jobs? Cities with the most Internship Applied Sport Science job openings:
What are the most commonly searched types of Applied Sport Science jobs? The most popular types of Applied Sport Science jobs are:
What states have the most Internship Applied Sport Science jobs? States with the most job openings for Internship Applied Sport Science jobs include:
Internship Applied Sport Science jobs near you

Internship - Applied Research Scientist

Smule

Salt Lake City, UT • Remote

Other

Re-posted 10 days ago

Job description

Salary:

Smule has been on a mission to bring the world together through music since 2008. Music is much more than listening it's about creating, sharing, discovering, participating, and connecting with people. With dozens of millions of monthly active users creating over 20 million songs every day, Smule is connecting people all over the world through the joy of making music and transforming the music landscape from one of passive listening to collaborative creative expression and active engagement.


About the Role:

We are seeking a Research Scientist for Smule's Applied Research team who thrives at the intersection of cutting-edge ML research and real-world product impact. You will take ideas from the research frontier, or originate your own, and develop them into practical solutions that improve Smule's products, pipelines, and user experience for a community of millions. The ideal candidate combines research depth with strong engineering instincts, a bias toward measurable outcomes, and genuine curiosity about how people make music.


We strongly encourage candidates with non-traditional ML backgrounds to apply. If your path into applied machine learning came through audio engineering, music production, signal processing, data science, or another field, we want to hear from you.


What You'll Be Doing:

  • Develop and adapt state-of-the-art ML techniques to solve concrete product challenges in areas such as audio processing, content understanding, recommendation, and generative music, delivering measurable improvements in quality, latency, or user experience.
  • Design and run rigorous offline and online experiments (A/B tests, ablation studies) to validate model improvements before production deployment.
  • Collaborate closely with product managers, designers, and engineers to translate user needs into well-scoped research problems.
  • Build prototype models and proof-of-concept systems that demonstrate feasibility and inform production architecture decisions.
  • Publish applied research findings at relevant venues and contribute to internal knowledge-sharing through tech talks and documentation.
  • Monitor deployed models for drift, fairness, and performance, implementing continuous improvement loops.


What We're Looking For:

  • Degree (B.S., M.S., or Ph.D.) in Computer Science, Software Engineering, Electrical Engineering, or a related technical discipline, or currently pursuing one.
  • Demonstrated ability to take research ideas from paper to production, with experience shipping ML-powered features or systems.
  • Strong skills in experiment design, statistical analysis, and iterative model development.
  • Proficiency in Python, PyTorch or TensorFlow, and standard ML infrastructure (data pipelines, model serving, monitoring).
  • Effective communicator who can translate between research concepts and product requirements.
  • Track record of identifying high-impact problems and delivering solutions with measurable outcomes.


Bonus Points For:

  • Experience with audio, speech, music, or multimedia ML applications.
  • Familiarity with on-device or edge deployment constraints (model compression, quantization, latency optimization).
  • Published work at conferences or journals, such as KDD, RecSys, EMNLP, Interspeech, ISMIR, or similar.


Smule is an Equal Opportunity Employer and considers all qualified applicants without regard to race, color, religion, sex, gender identity or expression, sexual orientation, national origin, ancestry, age, disability, medical condition, genetic information, marital status, military or veteran status, or any other protected characteristic under federal, state, or local law.


We are committed to creating an inclusive environment for all employees and applicants. If you require a reasonable accommodation during the application or interview process, please let us know.