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Senior Video Processing Jobs in Missouri (NOW HIRING)

$80K - $110K/yr

Our partner is looking for a Senior Applied Computer Vision Engineer based in Netherlands. Join a ... video processing, OCR, MLOps, backend systems, cloud infrastructure, or technical leadership is ...

... video, direct response, and digital realms. And guess what? We're not just looking for someone ... Comfortable with the pharma writing process. Familiarity with annotating and working with claim ...

Senior Technology Engineer

Saint Louis, MO · On-site

$101K - $139K/yr

IMEG is seeking a Senior Technology Engineer to join our Technology team in St. Louis, Missouri ... process design reviews of IT structured cabling, audio/video, security, and other low-voltage ...

Senior Technology Engineer

Saint Louis, MO

$101K - $139K/yr

IMEG is seeking a Senior Technology Engineer to join our Technology team in St. Louis, Missouri ... process design reviews of IT structured cabling, audio/video, security, and other low-voltage ...

... video, direct response, and digital realms. And guess what? We're not just looking for someone ... Comfortable with the pharma writing process. Familiarity with annotating and working with claim ...

$42 - $55.50/hr

Lama is a small, focused audio development team in Europe operating within Ross Video. As part of ... Designing and implementing modern C++ and DSP components for real-time audio processing Who you are:

Senior Escalations Engineer

Louisiana, MO · On-site

$92K - $126K/yr

Department Overview Motorola Solution's Video Security & Access Control Division is defining the ... Contribute to an ongoing program of process improvement * Assist the technical documentation group ...

... with video required. Linesight is a highly successful global project and cost management ... recruitment process and are accommodated in the workplace. If you require assistance or ...

... video required. About us Linesight is a highly successful global project and cost management ... recruitment process and are accommodated in the workplace. If you require assistance or ...

... video required. About us Linesight is a highly successful global project and cost management ... recruitment process and are accommodated in the workplace. If you require assistance or ...

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Senior Video Processing information

What is the difference between Senior Video Processing vs Video Editor?

AspectSenior Video ProcessingVideo Editor
CredentialsExperience in video processing, familiarity with editing software, sometimes certifications in video technologyCreative skills, proficiency in editing software, often a portfolio or demo reel
Work EnvironmentTechnical teams, post-production facilities, media companiesCreative teams, advertising agencies, media production studios
Industry UsageUsed in post-production, broadcast, streaming servicesUsed in content creation, advertising, film, and TV

Senior Video Processing professionals focus on technical aspects like encoding, color correction, and optimizing video quality, often working behind the scenes. Video Editors concentrate on assembling footage, adding effects, and crafting the final visual story. While both roles require familiarity with editing software, Senior Video Processing emphasizes technical expertise, whereas Video Editors prioritize creative storytelling.

What job categories do people searching Senior Video Processing jobs in Missouri look for? The top searched job categories for Senior Video Processing jobs in Missouri are:
What cities in Missouri are hiring for Senior Video Processing jobs? Cities in Missouri with the most Senior Video Processing job openings:

Senior Applied Computer Vision Engineer

Jobgether

Remote

$80K - $110K/yr

Full-time

PTO

Posted 12 days ago


Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Applied Computer Vision Engineer based in Netherlands.

Join a highly technical engineering team focused on transforming sports video into actionable insights through advanced computer vision and machine learning. In this role, you will develop, optimize, and scale production-grade vision systems capable of handling complex real-world video environments. You'll work across the full lifecycle of computer vision solutions, from experimentation and model development to deployment and continuous improvement. This position offers the opportunity to solve challenging problems involving object detection, tracking, camera calibration, and video analytics while collaborating with cross-functional engineering teams. The environment is remote-first, flexible, and driven by innovation, giving you the autonomy to lead technical initiatives with meaningful impact.

Accountabilities
  • Develop, enhance, and maintain production-ready computer vision models for sports video analytics, including player and ball detection, tracking, event recognition, and identity association.
  • Design and improve geometric computer vision solutions such as camera calibration, homography estimation, field registration, and coordinate mapping.
  • Evaluate existing computer vision pipelines, identify performance bottlenecks, analyze failure modes, and implement practical improvements to increase accuracy, scalability, and robustness.
  • Adapt machine learning models and vision pipelines to support new sports, leagues, stadiums, camera configurations, and varying video quality conditions.
  • Design and execute experiments covering dataset creation, augmentation, model training, fine-tuning, evaluation, and production readiness.
  • Collaborate with data, software, platform, and DevOps teams to deploy scalable machine learning solutions into production environments while improving inference performance, monitoring, and operational reliability.
  • Define evaluation metrics, testing strategies, and quality assurance processes to ensure consistent model performance over time.
  • Lead technical initiatives from early research and prototyping through deployment, communicating technical decisions and trade-offs effectively across engineering and stakeholder teams.
Requirements
  • Extensive experience building, deploying, and improving production-grade computer vision systems.
  • Strong proficiency in Python and modern deep learning frameworks such as PyTorch.
  • Hands-on expertise in video-based computer vision, including object detection, multi-object tracking, event recognition, identity association, or video analytics.
  • Solid understanding of geometric computer vision concepts including camera calibration, homography estimation, projective geometry, and mapping image coordinates to real-world environments.
  • Experience improving tracking systems in challenging scenarios involving occlusions, noisy detections, identity preservation, and object interactions.
  • Demonstrated ability to evaluate model performance, identify weaknesses, and implement effective optimization strategies.
  • Experience adapting models to diverse real-world environments using techniques such as transfer learning, domain adaptation, data augmentation, and fine-tuning.
  • Strong software engineering practices with the ability to write clean, maintainable, production-quality code.
  • Ability to work independently, prioritize multiple initiatives, and drive projects through completion.
  • Excellent communication and collaboration skills within cross-functional and client-facing environments.
  • Experience in sports analytics, broadcast video, multi-camera systems, GPU-accelerated video processing, OCR, MLOps, backend systems, cloud infrastructure, or technical leadership is considered an advantage.
Benefits
  • Competitive salary based on experience.
  • Comprehensive benefits package including paid vacation and sick leave.
  • Fully remote position for professionals residing in Europe.
  • Flexible working hours with a strong focus on work-life balance.
  • Home office equipment allowance and the option to use a coworking space when preferred.
  • No business travel required.
  • Opportunity to work alongside highly experienced international engineering professionals.
  • Collaborative, fast-paced environment with excellent opportunities for technical growth and career development.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
 Why Apply Through Jobgether? 
 
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
 
 
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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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