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Sport Research Engineer Jobs (NOW HIRING)

AEG

Research Engineer (AI + Sports)

Pittsburgh, PA · On-site

YinzCam is seeking exceptional Research Engineers to lead the development of AI-driven video analysis and game analytics systems that power next-generation fan experiences in professional sports.

Socket.dev

Research Engineer, Machine Learning

Palo Alto, CA · On-site

$241K/yr

As a Research Engineer - ML track, you'll build and optimise the large-scale learning systems that ... Reimburse office parking charges, or $120/month for public transport * 🏀 Sport: $120/month ...

New

Neura Market

Applied AI Research Engineer Applied AI Research Team, Applied AI About the role: As an Applied AI ... A collaborative, service-oriented mindset - go-to-market at Anthropic is a team sport * Passion for ...

Dunlop Sports

Senior Research Engineer

Huntington Beach, CA · On-site

$120K - $145K/yr

Work closely with engineers, designers, CAD technicians, and Marketing personnel throughout research, development, and product launch phases. * Prepare, organize, and otherwise communicate findings ...

Aquent

Product Research Associate 2

Beaverton, OR · On-site

$30 - $33.33/hr

Manage day-to-day logistics and support data collection and analysis for sport research programs ... Working knowledge of programming languages such as Python or Matlab. * Exposure to industry ...

New

Trading Interview

Immerse yourself in sports analytics research * Empirically test ideas using real industry data ... Strong, practical computer programing skills * Demonstrated experience working on sports analytics ...

New Balance

Senior Product Engineer

Lawrence, MA · On-site

$99K - $129K/yr

As the Senior Product Engineer - Running Innovation, you will create cutting-edge products and ... from the Sport Research lab, Fit & Wear and Market research to create solutions to their unmet ...

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Sport Research Engineer information

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$37K

$106K

$142.5K

How much do sport research engineer jobs pay per year?

As of Sep 14, 2026, the average yearly pay for sport research engineer in the United States is $106,012.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,000.00 and $104,000.00 per year, depending on experience, location, and employer.

What is a sport research engineer?

Sport Research Engineers are professionals who apply engineering principles and scientific research to improve sports equipment, athlete performance, and safety. They work at the intersection of biomechanics, materials science, and sports technology, often collaborating with athletes, coaches, and manufacturers. Their work may include designing new gear, analyzing athletic movements, or developing innovative training tools. Sport Research Engineers play a critical role in enhancing the overall experience and safety of sports through technological advancements.

How does a sport research engineer typically collaborate with coaches and athletes to enhance performance?

Sport Research Engineers frequently work alongside coaches and athletes to translate scientific findings into practical performance improvements. This collaboration often involves gathering biomechanical data during training sessions, analyzing results, and presenting actionable insights to the coaching staff. Regular communication ensures that engineering solutions—like custom equipment or wearable sensors—are tailored to the specific needs of the athletes. Building strong relationships with team members helps bridge the gap between technical research and real-world application, ultimately driving athlete development.

What are the key skills and qualifications needed to thrive as a sport research engineer, and why are they important?

To thrive as a Sport Research Engineer, you need a solid background in engineering, biomechanics, and data analysis, typically supported by a degree in mechanical, biomedical, or sports engineering. Familiarity with motion capture systems, force plates, CAD software, and statistical analysis tools is often required, along with knowledge of programming languages like MATLAB or Python. Strong problem-solving abilities, creativity, and effective communication skills help you translate technical findings into practical sports applications. These skills are crucial for developing innovative solutions that enhance athletic performance, safety, and equipment design.

What is the difference between Sport Research Engineer vs Sports Scientist?

AspectSport Research EngineerSports Scientist
Required CredentialsBachelor's or Master's in Engineering, Sports Science, or related fieldsBachelor's or Master's in Sports Science, Exercise Physiology, or related fields
Work EnvironmentResearch labs, sports technology companies, universitiesSports facilities, research labs, universities, athletic teams
Employer & Industry UsageSports technology firms, research institutions, universitiesSports teams, fitness centers, academic institutions
Common Search & ComparisonYesYes

Sport Research Engineers focus on developing and testing sports-related technologies, equipment, and innovations through engineering principles. Sports Scientists analyze athletic performance, physiology, and training methods to optimize athlete performance. While both roles involve sports and research, Sport Research Engineers are more engineering-oriented, whereas Sports Scientists focus on physiology and training.

What are popular job titles related to Sport Research Engineer jobs?

For Sport Research Engineer jobs, the most frequently searched job titles are:

Infographic showing various Sport Research Engineer job openings in the United States as of September 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $106,012 per year, or $51 per hour.

Research Engineer (AI + Sports)

Pittsburgh, PA • On-site

AEG
Recruiting and Staffing Services • 51 - 200 employees
Learn more about AEGexternal

Full-time

Re-posted 25 days ago

Job description

YinzCam is seeking exceptional Research Engineers to lead the development of AI-driven video analysis and game analytics systems that power next-generation fan experiences in professional sports. This is a rare opportunity to conduct publishable research while building products that reach millions of fans in real time.
You'll work at the cutting edge of computer vision and machine learning applied to sports, collaborating with leading academic researchers at Carnegie Mellon University while taking your innovations from prototype to production. This role demands both research rigor and product sensibility. We value publication records and engineering excellence equally. This is a full-time, onsite position based in Pittsburgh, PA.
You will be at the forefront of establishing a new, in-house AI Research Lab within YinzCam, and working with multiple sports teams, leagues, and venues to apply AI to the fan experience and to business operations.
CORE RESPONSIBILITIES.
Video Analysis & Computer Vision
  • Design and develop AI systems for real-time video understanding of live sporting events (player detection, action recognition, spatial analysis, etc.)
  • Build robust computer vision pipelines that handle challenging real-world footage (lighting, occlusion, multiple camera angles)
  • Explore novel architectures and techniques in modern CV to solve sports-specific problems

Large-Scale Game Analytics
  • Develop AI systems to extract, aggregate, and interpret game data at scale across multiple sports, teams, and seasons
  • Create spatial and temporal analytics frameworks that surface actionable insights from video and sensor data
  • Build analytics platforms that scale from single games to league-wide deployments

AI-Powered Fan Experiences
  • Translate video understanding and analytics into engaging, intuitive experiences for millions of fans
  • Collaborate on product features that leverage AI (real-time highlights, personalized stats, interactive visualizations, etc.)
  • Ensure research outputs move through the full product development lifecycle

CORE GOALS.
  1. Publish Your Work: We intend to publish the work coming out of these research projects. Papers will be published in top-tier CV/ML venues and presented at conferences.
  2. Bridge Academia & Industry: Work directly with Prof. Priya Narasimhan (Carnegie Mellon University) and her research team to translate academic innovations into applied systems. Mentor CMU students, collaborate on research projects, and shape the next generation of sports AI researchers.
  3. From Research to Product: Own the path from prototype to production. You'll participate in design reviews, handle real-world deployment challenges, and see your ideas impact actual fan experiences at scale.

CORE REQUIREMENTS.
  • PhD in Computer Vision, Machine Learning, Computer Science, or a closely related field
  • Strong publication track record in top-tier venues (CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, etc.)
  • Deep expertise in modern computer vision techniques: neural networks, object detection, semantic/instance segmentation, action recognition, optical flow, pose estimation, or related areas
  • Proficiency in ML frameworks (PyTorch, TensorFlow) and modern deep learning practices
  • Strong software engineering fundamentals: Python, Java, AWS, SQL, Redshift, version control, testing, CI/CD
  • Demonstrated ability to implement complex systems end-to-end
  • Background in sports analytics, sports tech, or applied computer vision (industry, research, or both)
  • Genuine enthusiasm for sports and AI
  • Genuine enthusiasm for going beyond book learning, and to have ideas go into large-scale production

HOW TO APPLY
Please submit:
  1. Your CV (with publication list)
  2. A cover letter describing your research interests and why you're excited about this opportunity
  3. Links to your top 2-3 publications hat best represent your work
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About AEG

Sourced by ZipRecruiter

Industry

Recruiting and staffing services

Company size

51 - 200 Employees

Headquarters location

Saint Louis, MO, US

Year founded

1992

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