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Remote Computer Vision Engineer Jobs in Missouri

Jobgether

$80K - $110K/yr

This is an exciting opportunity for an experienced Computer Vision professional to help shape the ... Fully remote full-time position with flexibility to work from your preferred location.

General Motors

Senior AI/ML Engineer

Jefferson City, MO · On-site +1

$99K - $136K/yr

Remote/Hybrid: This role is based remotely but if you live within a 50-mile radius of Sunnyvale, CA ... Experience with computer vision , machine learning , or data-centric AI projects - especially where ...

Xcellent Technology

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 ...

Jobgether

$48.50 - $64/hr

Degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field ... Flexible and remote-first working environment. * Opportunities for continuous learning ...

Walmart

Principal, Data Scientist

Anderson, MO · Remote

$110K - $220K/yr

Engineer computer vision systems for real‑time inference (YOLO, RT‑DETR, CLIP) with multi‑GPU training optimization * Build time‑series forecasting models that drive inventory optimization ...

Walmart

Principal, Data Scientist

Noel, MO · Remote

$110K - $220K/yr

Engineer computer vision systems for real‑time inference (YOLO, RT‑DETR, CLIP) with multi‑GPU training optimization * Build time‑series forecasting models that drive inventory optimization ...

Walmart

Principal, Data Scientist

Cassville, MO · Remote

$110K - $220K/yr

Engineer computer vision systems for real‑time inference (YOLO, RT‑DETR, CLIP) with multi‑GPU training optimization * Build time‑series forecasting models that drive inventory optimization ...

Quora

iOS Engineer -Remote

Springfield, MO · Remote

$166K - $191K/yr

Quora offers a wide range of benefits including medical/dental/vision coverage, equity refreshers ... For Toronto and Vancouver based applicants, the salary range is $166,675 - $191,397 CAD + equity ...

Quora

iOS Engineer -Remote

Jefferson City, MO · Remote

$166K - $191K/yr

Quora offers a wide range of benefits including medical/dental/vision coverage, equity refreshers ... For Toronto and Vancouver based applicants, the salary range is $166,675 - $191,397 CAD + equity ...

Quora

iOS Engineer -Remote

Columbia, MO · Remote

$166K - $191K/yr

Quora offers a wide range of benefits including medical/dental/vision coverage, equity refreshers ... For Toronto and Vancouver based applicants, the salary range is $166,675 - $191,397 CAD + equity ...

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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 Jun 19, 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:
Remote Computer Vision Engineer jobs near you

Senior CV Engineer

Jobgether

On-site, Remote

$80K - $110K/yr

Full-time

PTO

Posted 3 days ago

Job description

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

This is an exciting opportunity for an experienced Computer Vision professional to help shape the next generation of AI-powered visual technologies. In this role, you will work on advanced generative models, developing systems capable of producing high-quality photorealistic and stylized visual content. You will contribute to cutting-edge research initiatives while transforming innovative ideas into scalable production solutions. The position combines deep technical expertise with strategic ownership, allowing you to influence model architecture, optimization, and long-term roadmap decisions. Working within a globally distributed and highly collaborative environment, you will have the opportunity to drive meaningful innovation at the intersection of computer vision, multimodal AI, and machine learning. This role is ideal for individuals passionate about pushing the boundaries of generative AI and visual understanding systems.

Accountabilities:
  • Train, fine-tune, and enhance generative computer vision models, including text-to-image, image-to-image, video-to-image, and adapter-based architectures.
  • Develop and improve image classification, ranking, and captioning systems capable of understanding complex visual contexts.
  • Monitor emerging research trends and open-source advancements in computer vision, translating findings into actionable development roadmaps.
  • Design, implement, and own model evaluation frameworks and quality validation processes to ensure continuous performance improvement.
  • Optimize model inference through techniques such as diffusion acceleration, quantization, and framework-level performance enhancements.
  • Collaborate with machine learning teams to integrate advanced computer vision capabilities into broader AI systems.
  • Contribute to multimodal AI initiatives that combine visual and language understanding for richer user experiences.
Requirements
  • 5+ years of experience working with diffusion models, including training, fine-tuning, and architectural customization.
  • Strong expertise with modern machine learning frameworks and libraries, particularly Diffusers and Transformers.
  • Hands-on experience implementing and optimizing IP-Adapters or similar conditioning techniques.
  • Solid programming skills and practical backend engineering experience, ideally with Python and exposure to scalable deployment environments.
  • Strong understanding of deep learning, generative AI, and computer vision best practices.
  • Ability to independently drive research initiatives and translate experimental results into production-ready solutions.
  • Excellent problem-solving, analytical thinking, and collaboration skills.

Nice to have:

  • Experience with flow matching techniques and diffusion model distillation.
  • Knowledge of DPO and other advanced text-to-image fine-tuning methodologies.
  • Experience with text-to-video generation and CLIP fine-tuning.
  • Familiarity with multimodal large language models.
  • Background in NLP, LLM training, or conversational AI development.
Benefits
  • Fully remote full-time position with flexibility to work from your preferred location.
  • Competitive compensation package, with salary details shared during the recruitment process.
  • 28 calendar days of annual vacation.
  • 7 wellness days per year for personal recovery and wellbeing.
  • Referral bonus program with rewards of up to $5,000 for successful candidate recommendations.
  • 50% reimbursement for professional development, training programs, conferences, and industry events.
  • Corporate discounts for English language learning programs.
  • Annual health allowance of up to $1,000 gross for health insurance, medical expenses, or healthcare support for eligible family members.
  • Workplace support, including fully equipped office or coworking options, or reimbursement of up to $1,000 gross every three years for home office and workspace expenses.
  • Internal recognition and rewards program that allows employees to earn bonuses and redeem them for merchandise, experiences, wellness services, and team activities.
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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