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Remote Computer Vision Engineer Jobs in Missouri

$80K - $110K/yr

Our partner is looking for a Senior Applied Computer Vision Engineer based in Netherlands. Join a ... The environment is remote-first, flexible, and driven by innovation, giving you the autonomy to ...

Database Engineer - Remote

Rolla, MO · On-site +1

$70K - $80K/yr

Bachelor's degree in Computer Science, Information Technology * Or at least 4 years of relevant ... Customizable healthcare, dental, and vision coverage. * Paid time off (PTO), 11 federal holidays ...

Database Engineer | Remote

Rolla, MO · On-site +1

$70K - $80K/yr

Bachelor's degree in Computer Science, Information Technology * Or at least 4 years of relevant ... Customizable healthcare, dental, and vision coverage. * Paid time off (PTO), 11 federal holidays ...

Our partner is looking for an AI Engineer (Remote, International) based in Netherlands. This role ... Contribute to the technical vision and evolution of generative AI systems within a high-scale ...

GoLang, Sr Engineer

Monett, MO · On-site +1

$60 - $75/hr

Remote (must be within 70 miles of Allen, TX, Birmingham, AL, Cedar Falls, IA, Charlotte, NC ... Education Bachelor's degree in Computer Science is desired but not required. Pay & Benefits Summary ...

As a Remote Geotechnical Engineer, you will perform geotechnical engineering design, project ... vision, dental, paid time off, etc.) and the opportunity to participate in a bonus system that ...

Sales Director

California, MO · Remote

$110K - $140K/yr

Remote - North America About Netsmartz Netsmartz is a global digital transformation company helping ... Strong understanding of AI technologies including LLMs, NLP, Computer Vision, Generative AI, MLOps ...

Previous experience with Computer Vision, Optical Character Recognition (OCR), Document AI, or ... Fully remote position with collaboration across the European CET time zone. * Immediate opportunity ...

Requirements: * Strong academic background in Computer Science, Engineering, or a related STEM ... Remote-first work environment with distributed global teams. * USD 2,000 annual learning and ...

Mainframe Developer (Remote)

Chesterfield, MO · Remote

$48.50 - $62.25/hr

Medical / Dental / Vision Insurance - insurance premium assistance provided * Additional Insurance ... Bachelor's degree in Computer Science, Information Technology, or a related field * Over 5 years of ...

Mainframe Developer (Remote)

Chesterfield, MO · On-site +1

$48.50 - $62.25/hr

Medical / Dental / Vision Insurance - insurance premium assistance provided * Additional Insurance ... Bachelor's degree in Computer Science, Information Technology, or a related field * Over 5 years of ...

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Remote Computer Vision Engineer information

See Missouri salary details

$45.5K

$114K

$129K

How much do remote computer vision engineer jobs pay per year?

As of Jul 10, 2026, the average yearly pay for remote computer vision engineer in Missouri is $113,982.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,600.00 and $123,300.00 per year, depending on experience, location, and employer.

What is a Remote Computer Vision Engineer job?

A Remote Computer Vision Engineer develops and implements computer vision algorithms and machine learning models to analyze and interpret visual data. They work with image and video processing, deep learning frameworks, and cloud-based or edge computing environments. This role involves tasks like object detection, image segmentation, and facial recognition, often using tools like OpenCV, TensorFlow, or PyTorch. Since it is a remote position, strong communication and collaboration skills are essential for working with distributed teams.

What are the key skills and qualifications needed to thrive in the Remote Computer Vision Engineer position, and why are they important?

To excel as a Remote Computer Vision Engineer, you need strong proficiency in image processing, machine learning, and programming languages such as Python or C++, typically supported by a degree in computer science or a related field. Experience with frameworks like OpenCV, TensorFlow, or PyTorch, and familiarity with cloud platforms and version control systems, are highly valuable. Excellent problem-solving skills, self-motivation, and effective remote communication abilities set standout candidates apart. These skills ensure the successful development and deployment of advanced computer vision solutions in a collaborative, distributed work environment.

What are some typical challenges remote computer vision engineers face and how can they address them?

Remote computer vision engineers often encounter challenges such as aligning on project objectives with distributed teams, managing large datasets, and ensuring models perform well in real-world conditions. Effective communication through regular video meetings and clear documentation can help bridge distance-related gaps. Utilizing collaborative tools for code reviews and version control also streamlines teamwork. To overcome technical hurdles, staying updated on the latest frameworks and best practices in computer vision is important. Proactively addressing these challenges leads to more efficient project delivery and professional growth.

What are the most commonly searched types of Computer Vision Engineer jobs in Missouri? The most popular types of Computer Vision Engineer jobs in Missouri are:
What are popular job titles related to Remote Computer Vision Engineer jobs in Missouri? For Remote Computer Vision Engineer jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Remote Computer Vision Engineer jobs in Missouri look for? The top searched job categories for Remote Computer Vision Engineer jobs in Missouri are:
What cities in Missouri are hiring for Remote Computer Vision Engineer jobs? Cities in Missouri with the most Remote Computer Vision Engineer job openings:

Senior Applied Computer Vision Engineer

Jobgether

Remote

$80K - $110K/yr

Full-time

PTO

Posted 9 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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