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Remote Computer Vision Postdoc Jobs in Missouri (NOW HIRING)

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Remote Computer Vision Postdoc information

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?

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 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 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:

Computer Vision and Data Analysis Co-Op

Chesterfield, MO • On-site, Remote

Bayer Inc.
Agriculture • 10K+ employees

$22.75 - $47.75/hr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 13 days ago


Bayer rating

8.3

Company rating: 8.3 out of 10

Based on 70 frontline employees who took The Breakroom Quiz


Job description

 

Computer Vision and Data Analysis Co-Op 

         

In this role, you will analyze and summarize data generated from field trials through digital phenotyping, applying modern computer vision and machine learning methods to support decision-making and identify opportunities for system and process improvements in collaboration with Field Testing, Data Science, and Computer Vision teams.

This position is based on a hybrid work model at the Bayer Crop Science facility in Chesterfield, Missouri. Regional travel includes nearby field testing sites in Illinois, with potential travel to other Midwest and Midsouth locations.

YOUR TASKS AND RESPONSIBILITIES

The primary responsibilities of this role include:

  • Analyze and interpret imagery and metrics generated from field trial data using advanced machine learning and computer vision techniques;
  • Collaborate closely with Field Testing and Data Science partners to integrate digital phenotyping insights into data analysis and model development;
  • Support experimental design by integrating insights from field assessments (UAV, remote sensing, and manual methods);
  • Contribute to system and workflow improvements by applying creativity and problemsolving to largescale data challenges.

WHO YOU ARE

Bayer seeks an incumbent who possesses the following:

Required Qualifications:

  • Active M.S. or Ph.D. candidate in a relevant discipline (data science, precision agriculture, agricultural engineering, plant physiology, crop science, entomology, weed science, or pathology);
  • Proficiency in Python and experience with deep learning frameworks such as PyTorch, TensorFlow, or JAX;
  • Solid understanding of core machine learning concepts (loss functions, regularization, optimization methods such as SGD/Adam, and learning rate scheduling);
  • Familiarity with agricultural research and field trial methodologies;
  • Basic knowledge of remote sensing technologies;
  • Ability to work collaboratively across areas of expertise.

Preferred Qualifications:

  • Handson experience with modern architectures such as ResNet, UNet, DeepLab, YOLO, SegFormer, SAM, and Vision Transformers;
  • Experience with creating and managing largescale datasets, including the use of tools like Hugging Face Datasets;
  • One to two years of UAV imaging experience;
  • Strong analytical and problemsolving skills;
  • Experience with cloud platforms (AWS, GCP, or Azure);
  • FAA Part 107 license to operate UAVs, or ability to obtain before the start date.

Employees can expect to be paid a salary of approximately between $22.75 to $47.75. Additional compensation may include a bonus or commission (if relevant).  Additional benefits may include health care, vision, dental, retirement, PTO, sick leave, etc (if relevant).  This salary (or salary range) is merely an estimate and may vary based on an applicant's location, market data/ranges, an applicant's skills and prior relevant experience, certain degrees and certifications, and other relevant factors.

This posting will be available for application until at least March 19, 2027

    YOUR APPLICATION      

Bayer offers a wide variety of competitive compensation and benefits programs. If you meet the requirements of this unique opportunity, and want to impact our mission Health for all, Hunger for none, we encourage you to apply now. Be part of something bigger. Be you. Be Bayer. 
To all recruitment agencies: Bayer does not accept unsolicited third party resumes.
Bayer is an Equal Opportunity Employer/Disabled/Veterans
Bayer is committed to providing access and reasonable accommodations in its application process for individuals with disabilities and encourages applicants with disabilities to request any needed accommodation(s) using the contact information below. 

  Equal Opportunity Employer Statement: Notice for U.S. Visitors: All information on this site is subject to compliance with local rule and regulations as they may vary from time to time and across different geographies, including, without limitation, U.S. Executive Orders.       Bayer is an E-Verify Employer.               Location: United States : Missouri : Chesterfield      Division: Crop Science     Reference Code: 883370          Contact Us     Email: hrop_usa@bayer.com 

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About Bayer

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Bayer is a global enterprise with core competencies in the life science fields of healthcare and nutrition. We design our products and services to help people and planet thrive by supporting efforts to address the unprecedented global challenges presented by a growing and aging global population. At Bayer, we’re committed to drive sustainable development and generate a positive impact with our businesses. Through bold ideas and unprecedented insights, we’re pioneering new possibilities that advance life for all of us. That means reimagining how we care for ourselves and one another by empowering everyday health, improving approaches to patient care, and finding better ways to nourish our communities around the world.

Industry

Agriculture

Company size

10,000+ Employees

Headquarters location

Whippany, NJ, US