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Remote Computer Vision Postdoc Jobs in Missouri (NOW HIRING)

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.

UVeye

Implementation Manager

Kansas City, MO · On-site +1

$80K - $90K/yr

... of computer vision, machine learning, and generative AI within the automotive sector. With over ... This is a remote role, based on CT or ET. The ideal candidate should be located within an hour of a ...

Jobgether

$48.50 - $64/hr

... flexible, remote-first environment. Accountabilities * Deliver technical presentations ... computer vision, or predictive analytics. * Strong proficiency in Python or other statistical ...

Jobgether

$158K/yr

Bachelor's degree in Computer Science, Machine Learning, Artificial Intelligence, or a related ... Fully remote work environment with global collaboration opportunities. * Exposure to large-scale AI ...

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 ...

Kohl's

What You'll Do * Set the vision and strategy to protect Kohl's associates and company assets ... Basic math and reading skills, legible handwriting, and basic computer operation * Ability to ...

Harris

(Remote) AI Enablement Lead

Louisiana, MO · Remote

... CAD 79K - 90K USD This remote role welcomes candidates anywhere in Canada and the US. Up to 10% ... Comprehensive Medical, Dental, and Vision benefits starting from your first day of employment

S2Tech

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 Postdoc information

What are some common challenges faced by remote Computer Vision Postdocs, and how can they be addressed?

Remote Computer Vision Postdocs often encounter challenges related to collaboration and access to computational resources. Since much of the work involves large datasets and high-performance computing, ensuring secure and efficient remote access to servers and data is crucial. Effective communication with mentors and team members, often across different time zones, requires proficiency with collaboration tools and proactive scheduling. To address these challenges, it can be helpful to establish regular check-ins, document workflows clearly, and leverage cloud-based platforms for data processing and code sharing.

What is a Remote Computer Vision Postdoc?

A Remote Computer Vision Postdoc is a research position for individuals who have recently completed their Ph.D. and are specializing in the field of computer vision, all while working remotely. These postdoctoral researchers typically conduct advanced studies on topics such as image recognition, object detection, and machine learning algorithms, often collaborating with academic institutions or industry labs. The remote aspect allows for flexible work locations, making it possible to join international teams and contribute to projects from anywhere in the world. This role often emphasizes publishing research, developing prototypes, and contributing to open-source projects.

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

To thrive as a Remote Computer Vision Postdoc, you need a solid background in computer vision, machine learning, and programming, typically supported by a PhD in computer science or a related field. Proficiency with deep learning frameworks (such as TensorFlow or PyTorch), coding languages like Python or C++, and experience with large-scale data processing are essential. Strong problem-solving abilities, self-motivation, and effective remote communication skills help you excel in collaborative, research-driven environments. These competencies ensure you can independently advance research objectives, contribute innovative solutions, and work efficiently with distributed teams.
What are the most commonly searched types of Computer Vision Postdoc jobs in Missouri? The most popular types of Computer Vision Postdoc jobs in Missouri are:
What are popular job titles related to Remote Computer Vision Postdoc jobs in Missouri? For Remote Computer Vision Postdoc jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Remote Computer Vision Postdoc jobs in Missouri look for? The top searched job categories for Remote Computer Vision Postdoc jobs in Missouri are:
What cities in Missouri are hiring for Remote Computer Vision Postdoc jobs? Cities in Missouri with the most Remote Computer Vision Postdoc job openings:
Remote Computer Vision Postdoc jobs near you

Senior CV Engineer

Jobgether

On-site, Remote

$80K - $110K/yr

Full-time

PTO

Posted 12 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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