... video analysis and game analytics systems that power next-generation fan experiences in ... Python, Java, AWS, SQL, Redshift, version control, testing, CI/CD * Demonstrated ability to ...
... video analysis and game analytics systems that power next-generation fan experiences in ... Python, Java, AWS, SQL, Redshift, version control, testing, CI/CD * Demonstrated ability to ...
Hawk-Eye Systems Technician (NFL) - Pittsburgh, PA
Pittsburgh, PA · On-site
$30 - $40/hr
Day before and day of Steelers Home Games (Roughly 16 Hours/Week) What the Job is All About: As ... Assisting in the set-up of the replay and injury video review systems * Assisting in the set-up ...
Hawk-Eye Systems Technician (NFL) - Pittsburgh, PA
Pittsburgh, PA · On-site
$30 - $40/hr
Day before and day of Steelers Home Games (Roughly 16 Hours/Week) What the Job is All About: As ... Assisting in the set-up of the replay and injury video review systems * Assisting in the set-up ...
Monitor live video feeds and robot telemetry * Perform real-time movement adjustments and task ... Participate in testing of new workflows and operational procedures What We're Looking For Required
Quick apply
Monitor live video feeds and robot telemetry * Perform real-time movement adjustments and task ... Participate in testing of new workflows and operational procedures What We're Looking For Required
Monitor live video feeds and robot telemetry * Perform real-time movement adjustments and task ... Participate in testing of new workflows and operational procedures What We're Looking For Required
Monitor live video feeds and robot telemetry * Perform real-time movement adjustments and task ... Participate in testing of new workflows and operational procedures What We're Looking For Required
Technical Support Specialist II
Pittsburgh, PA · On-site
$55K - $75K/yr
... sideline during a game, how teams prepare for an opponent using video, what gives sports ... Maintain detailed logs of all support interactions and quality testing results. * Develop and ...
Technical Support Specialist II
Pittsburgh, PA · On-site
$55K - $75K/yr
... sideline during a game, how teams prepare for an opponent using video, what gives sports ... Maintain detailed logs of all support interactions and quality testing results. * Develop and ...
Technical Support Specialist II
Pittsburgh, PA · On-site
$55K - $75K/yr
... sideline during a game, how teams prepare for an opponent using video, what gives sports ... Maintain detailed logs of all support interactions and quality testing results.Develop and update ...
Quick apply
Technical Support Specialist II
Pittsburgh, PA · On-site
$55K - $75K/yr
... sideline during a game, how teams prepare for an opponent using video, what gives sports ... Maintain detailed logs of all support interactions and quality testing results.Develop and update ...
Technical Support Specialist II
Pittsburgh, PA · On-site
$55K - $75K/yr
... sideline during a game, how teams prepare for an opponent using video, what gives sports ... Maintain detailed logs of all support interactions and quality testing results. * Develop and ...
Technical Support Specialist II
Pittsburgh, PA · On-site
$55K - $75K/yr
... sideline during a game, how teams prepare for an opponent using video, what gives sports ... Maintain detailed logs of all support interactions and quality testing results. * Develop and ...
Video Game Testing information
See Pittsburgh, PA salary details
$5.37 - $7.38
8% of jobs
$7.38 - $9.40
0% of jobs
$9.40 - $11.41
9% of jobs
$11.85 is the 25th percentile. Wages below this are outliers.
$11.41 - $13.43
33% of jobs
$13.43 - $15.44
22% of jobs
$16.12 is the 75th percentile. Wages above this are outliers.
$15.44 - $17.46
6% of jobs
$17.46 - $19.48
18% of jobs
$19.48 - $21.49
2% of jobs
$21.49 - $23.51
0% of jobs
$23.51 - $25.52
0% of jobs
$25.52 - $27.54
1% of jobs
$5
$14
$27
How much do video game testing jobs pay per hour?
What are the key skills and qualifications needed to thrive as a video game tester, and why are they important?
What is the difference between Video Game Testing vs Quality Assurance Tester?
| Aspect | Video Game Testing | Quality Assurance Tester |
|---|---|---|
| Credentials | Basic gaming knowledge, sometimes certifications in testing | Same as game testing, often with QA certifications |
| Work Environment | Game studios, testing labs, remote options | Game studios, software companies, QA departments |
| Industry Usage | Primarily in gaming industry | Broader software industry, including gaming |
| Job Focus | Finding bugs, gameplay issues, reporting defects | Ensuring overall quality, process compliance, bug tracking |
Video Game Testing and Quality Assurance Tester roles share many credentials and work environments, with game testing focusing more on bug identification during gameplay, while QA testers oversee broader quality processes. Both roles are essential in the gaming industry for delivering polished products.
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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.
- 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.
- 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.
- 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:
- Your CV (with publication list) and research statement.
- A cover letter describing your research interests and why you're excited about this opportunity
- Links to your top 2-3 publications hat best represent your work
About YinzCam
Sourced by ZipRecruiter
Industry
Spectator sports
Company size
51 - 200 Employees
Headquarters location
Pittsburgh, PA, US
Year founded
2009