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Computer Vision Developer Jobs in Missouri (NOW HIRING)

Jobgether

$80K - $110K/yr

Collaborate with data, software, platform, and DevOps teams to deploy scalable machine learning ... Hands-on expertise in video-based computer vision, including object detection, multi-object ...

Walmart

(USA) Staff, Data Scientist

Cassville, MO · On-site

$110K - $220K/yr

As a Staff Data Scientist at Walmart, you will leverage Computer Vision algorithms, Generative AI ... That's what we do at Walmart Global Tech. We're a team of software engineers, data scientists ...

Walmart

(USA) Staff, Data Scientist

Noel, MO · On-site

$110K - $220K/yr

As a Staff Data Scientist at Walmart, you will leverage Computer Vision algorithms, Generative AI ... That's what we do at Walmart Global Tech. We're a team of software engineers, data scientists ...

Walmart

(USA) Staff, Data Scientist

Anderson, MO · On-site

$110K - $220K/yr

As a Staff Data Scientist at Walmart, you will leverage Computer Vision algorithms, Generative AI ... That's what we do at Walmart Global Tech. We're a team of software engineers, data scientists ...

Walmart

(USA) Distinguished, Data Scientist

Noel, MO · On-site

$130K - $260K/yr

Our work spans NLP, computer vision, time series forecasting, and multi-agent AI systems at ... Mentor senior scientists and engineers on advanced modeling techniques, feature engineering, and ...

Walmart

(USA) Distinguished, Data Scientist

Anderson, MO · On-site

$130K - $260K/yr

Our work spans NLP, computer vision, time series forecasting, and multi-agent AI systems at ... Mentor senior scientists and engineers on advanced modeling techniques, feature engineering, and ...

Walmart

(USA) Distinguished, Data Scientist

Cassville, MO · On-site

$130K - $260K/yr

Our work spans NLP, computer vision, time series forecasting, and multi-agent AI systems at ... Mentor senior scientists and engineers on advanced modeling techniques, feature engineering, and ...

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All JobsComputer Vision Developer JobsComputer Vision Developer Jobs in Missouri

Computer Vision Developer information

See Missouri salary details

$16

$49

$76

How much do computer vision developer jobs pay per hour?

As of Jul 11, 2026, the average hourly pay for computer vision developer in Missouri is $49.56, according to ZipRecruiter salary data. Most workers in this role earn between $37.88 and $60.67 per hour, depending on experience, location, and employer.

Which 3 jobs will survive AI?

Computer Vision Developers are likely to continue in demand as AI advances because their work involves designing and improving algorithms that interpret visual data, a complex task difficult to fully automate. Roles requiring specialized knowledge, creativity, and problem-solving, such as AI researchers and data scientists, are also expected to persist. Skills in programming, machine learning, and domain expertise will remain valuable in these fields.

What are the key skills and qualifications needed to thrive as a Computer Vision Developer, and why are they important?

To excel as a Computer Vision Developer, you need a solid background in computer science, linear algebra, and experience with machine learning frameworks, often supported by a relevant degree or certifications. Familiarity with programming languages like Python or C++, and tools such as OpenCV, TensorFlow, or PyTorch, is typically required. Strong analytical thinking, problem-solving abilities, and effective teamwork skills help you innovate and deliver robust solutions. These competencies are crucial for developing, optimizing, and deploying advanced visual recognition systems that meet real-world application needs.

What tech jobs pay $400,000 a year?

In the field of computer vision development, senior roles such as Lead AI Engineer or Machine Learning Director can reach or exceed $400,000 annually, especially in large tech companies or specialized industries. These positions typically require advanced skills in deep learning, experience with frameworks like TensorFlow or PyTorch, and often involve leadership responsibilities and high-level expertise. Compensation varies based on company size, location, and individual experience.

What is the difference between Computer Vision Developer vs Machine Learning Engineer?

AspectComputer Vision DeveloperMachine Learning Engineer
Required CredentialsBachelor's or Master's in CS, specialized in computer vision or image processingBachelor's or Master's in CS, data science, or related fields with ML focus
Work EnvironmentDevelops algorithms for image/video analysis, often in tech, automotive, or healthcare industriesBuilds models for various data types, including images, text, and structured data across industries
Employer & Industry UsageTech companies, robotics, automotive, healthcareTech firms, startups, finance, healthcare, and research institutions

While both roles involve machine learning techniques, Computer Vision Developers specialize in image and video analysis, whereas Machine Learning Engineers work on broader data modeling across multiple data types. The roles often overlap but differ in focus and application areas.

What are some common challenges faced by Computer Vision Developers in deploying models to production environments?

Computer Vision Developers often encounter challenges such as optimizing models for real-time performance, handling diverse and noisy data from real-world sources, and ensuring models are robust across various hardware platforms. Integrating computer vision solutions into existing systems may require close collaboration with DevOps and backend engineers to address issues like latency, scalability, and security. Staying updated with rapidly evolving frameworks and hardware accelerators is also essential to maintain high-quality deployments.

Is computer vision a dead field?

Computer vision is an active and rapidly evolving field with ongoing research and industry applications such as autonomous vehicles, facial recognition, and medical imaging. As a computer vision developer, staying current with machine learning frameworks like TensorFlow or PyTorch and understanding deep learning techniques is essential for success in the field.

What is a Computer Vision Developer?

A Computer Vision Developer is a software engineer who specializes in creating applications and systems that can interpret and process visual information from the world, such as images or videos. They use techniques from artificial intelligence and machine learning to enable computers to identify objects, track movements, and understand scenes. Their work powers technologies such as facial recognition, autonomous vehicles, and augmented reality. Typically, they have expertise in programming languages like Python or C++, and are familiar with frameworks such as OpenCV or TensorFlow.

What engineers make $500,000?

Senior computer vision developers with extensive experience, specialized skills in deep learning and image processing, and often working in high-demand industries such as autonomous vehicles or AI research can earn $500,000 or more annually. Achieving this level typically requires advanced degrees, certifications, and a strong portfolio of impactful projects.
What are popular job titles related to Computer Vision Developer jobs in Missouri? For Computer Vision Developer jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Computer Vision Developer jobs in Missouri look for? The top searched job categories for Computer Vision Developer jobs in Missouri are:
Computer Vision Developer jobs near you

Senior Applied Computer Vision Engineer

Jobgether

Remote

$80K - $110K/yr

Full-time

PTO

Posted 10 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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