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Remote Machine Vision Engineer Jobs in Missouri (NOW HIRING)

Jobgether

$80K - $110K/yr

... machine learning. In this role, you will develop, optimize, and scale production-grade vision ... The environment is remote-first, flexible, and driven by innovation, giving you the autonomy to ...

Jobgether

The work operates at the intersection of machine learning, distributed systems, and advertising ... Contribute to the technical vision and evolution of generative AI systems within a high-scale ...

Jobgether

$40.75 - $55.75/hr

This is an excellent opportunity for an experienced DevOps professional to help build and optimize enterprise-scale machine learning infrastructure in a fully remote environment. In this role, you ...

Kohl's

$89K - $122K/yr

Contribute to the roadmap for Machine Learning Engineering and Data Science tools, including developing reusable frameworks and standardized solutions to streamline model implementation * Partner ...

Third-Party Job Posts

Location - Remote (Europe) How You'll Make an Impact: As a Staff Machine Learning Engineer , you will play a key role in building and implementing features that empower lodging customers to make data ...

Koantek

Senior AI Engineer

Chesterfield, MO · Remote

$54.75 - $70.50/hr

Sr AI Engineer / Data Scientist / MLOps Consultant Location: United States - Remote Employment Type ... This remote role requires a blend of advanced Machine Learning (ML) expertise, deep knowledge of ...

Olsson

Geotechnical Engineer - Remote

Kansas City, MO · On-site +1

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 ...

Xcellent Technology

Database Engineer - Remote

Rolla, MO · On-site +1

$70K - $80K/yr

Database Engineer (Remote) As a Database Engineer, you will help design, support, and optimize the ... Customizable healthcare, dental, and vision coverage. * Paid time off (PTO), 11 federal holidays ...

Jobgether

$79K - $104K/yr

... engineering, research, and product teams. Working in a fully remote, international environment, you will help establish best practices and drive innovation across the entire machine learning ...

Xcellent Technology

Database Engineer | Remote

Rolla, MO · On-site +1

$70K - $80K/yr

Database Engineer | Remote As a Database Engineer, you will help design, support, and optimize the ... Customizable healthcare, dental, and vision coverage. * Paid time off (PTO), 11 federal holidays ...

Jobgether

$94K - $130K/yr

Working in a remote-first, collaborative engineering environment, you will create scalable ... Extend the design system to support AI-assisted development through machine-readable interfaces ...

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Remote Machine Vision Engineer information

How do Remote Machine Vision Engineers typically collaborate with cross-functional teams given the remote nature of the role?

Remote Machine Vision Engineers often work closely with software developers, hardware engineers, and project managers through virtual meetings, collaborative platforms, and shared code repositories. Effective communication is essential to ensure alignment on project goals, technical specifications, and integration challenges. Regular video conferences, clear documentation, and agile project management tools help maintain productivity and foster team cohesion, despite being geographically dispersed.

What does a Remote Machine Vision Engineer do?

A Remote Machine Vision Engineer designs, develops, and implements computer vision systems that enable machines to interpret visual information, often working from a remote location. Their tasks include creating algorithms for image processing, integrating hardware like cameras, and collaborating with teams to solve automation or inspection challenges. They may work in industries such as manufacturing, robotics, or healthcare, using technologies like deep learning and neural networks. Remote Machine Vision Engineers typically use tools such as Python, OpenCV, and TensorFlow, and communicate with their teams via digital platforms. This role requires both strong programming skills and a deep understanding of image analysis techniques.

What are the key skills and qualifications needed to thrive as a Remote Machine Vision Engineer, and why are they important?

To thrive as a Remote Machine Vision Engineer, you need expertise in computer vision, image processing, programming (such as Python or C++), and a relevant engineering or computer science degree. Familiarity with frameworks like OpenCV, deep learning libraries (TensorFlow or PyTorch), and experience with cloud-based collaboration tools are typically required. Strong problem-solving abilities, self-motivation, and effective remote communication skills help you excel in this role. These skills ensure the accurate design and deployment of vision solutions while maintaining productivity and collaboration in a remote work environment.
What are popular job titles related to Remote Machine Vision Engineer jobs in Missouri? For Remote Machine Vision Engineer jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Remote Machine Vision Engineer jobs in Missouri look for? The top searched job categories for Remote Machine Vision Engineer jobs in Missouri are:
What cities in Missouri are hiring for Remote Machine Vision Engineer jobs? Cities in Missouri with the most Remote Machine Vision Engineer job openings:
Remote Machine Vision Engineer 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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