2

Remote Computer Vision Postdoc Jobs in Minnesota

Remote PRN Clinical Pharmacist

MN · On-site +1

$50 - $60/hr

... basic computer skills. • Ability to handle stressful situations and deal successfully with ... Specific vision abilities required by this job include close vision, distance vision, peripheral ...

next page

Showing results 1-20

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 popular job titles related to Remote Computer Vision Postdoc jobs in Minnesota? For Remote Computer Vision Postdoc jobs in Minnesota, the most frequently searched job titles are:
What cities in Minnesota are hiring for Remote Computer Vision Postdoc jobs? Cities in Minnesota with the most Remote Computer Vision Postdoc job openings:
Senior Data Scientist, Research and Development

Senior Data Scientist, Research and Development

Cargill

Wayzata, MN • Remote

$120K - $140K/yr

Other

Posted 5 days ago


Cargill rating

7.5

Company rating: 7.5 out of 10

Based on 219 frontline employees who took The Breakroom Quiz

17th of 48 rated food wholesalers


Job description

Cargill is committed to providing food and agricultural solutions to nourish the world in a safe, responsible, and sustainable way. Sitting at the heart of the supply chain, we partner with farmers and customers to source, make and deliver products that are vital for living. 
Our 155,000 team members innovate with purpose, providing customers with life's essentials so businesses can grow, communities prosper, and consumers live well. With over 160 years of experience as a family company, we look ahead while remaining true to our values. We put people first. We reach higher. We do the right thing-today and for generations to come.

Job Purpose and Impact

As a Senior Data Scientist in Research and Development, your work will have a direct impact on efficient, sustainable food manufacturing solutions. This role will work collaboratively in multidisciplinary teams to develop complex proofs of concept, minimum viable products, and scale fully deployed solutions across multiple manufacturing facilities. In this role, you will create complex predictive and computer vision models that help deliver significant value to the company's businesses.

Key Accountabilities
  • Work on multidisciplinary teams of data engineers, software engineers, data scientists and business subject matter experts to deliver complex projects on time and within budgets.
  • Translate ambiguous and complex business problems into project charters clearly identifying technical risks and project scope.
  • Take ownership for the entire data science workflow that includes a well-defined, complex project scope, exploratory data analysis, model development, deployment and monitoring.
  • Continuously seek out best practices and develop skills.
  • Create scalable structures to accelerate deployment to multiple facilities.
  • Independently handle complex issues with minimal supervision, while escalating only the most complex issues to appropriate staff.
  • Other duties as assigned

This position is preferred to work from the Wayzata, MN headquarters location but could also work remote from a home-office location anywhere in the United States.

Qualifications
MINIMUM QUALIFICATIONS
  • Bachelor's degree in Data Science, Computer Science, Mathematics, Engineering, or a related field; or equivalent practical experience.
  • Minimum of 4 years of relevant professional experience, OR 3 years experience with a Master's degree, OR 2 years experience with a Ph.D. in a related discipline.
  • Proficiency in Python programming.
  • Hands-on experience developing computer vision models for image classification, object detection, and segmentation.
  • Experience with computer vision tools, both traditional and deep learning, such as OpenCV, PyTorch, etc including transfer learning and fine-tuning deep learning models.
  • Experience deploying ML models using a containerized deployment framework (Docker, Podman, etc).
  • Proven ability to develop proofs of concept and scale them into full production solutions.
  • Demonstrated ability to present complex concepts to non-technical audiences.
PREFERRED QUALIFICATIONS
  • Master's degree or PhD in data science, computer science, math, engineering or related field
  • Solid understanding of Computer Vision fundamentals.
  • Knowledge of MLOps practices for productionizing vision models.
  • Experience scaling a production solution to multiple sites
  • Experience working with continuous integration and delivery (CI/CD) pipelines
  • Experience working with AWS
  • Experience in manufacturing, supply chain, or agriculture
Compensation Data

The expected annual salary for this position is $120,000-$140,000. Compensation varies depending on a wide array of factors including but not limited to the specific location, certifications, education, and level of experience. The disclosed range estimate may be adjusted for any applicable geographic differential associated with the location at which the position may be filled. This position is eligible for a discretionary incentive award. The incentive award amount is dependent upon company performance and your personal performance.

At Cargill we put people first. As part of your overall rewards, we offer a comprehensive benefit program including medical and/or other benefits dependent on the position offered and hours worked. Visit: https://www.cargill.com/page/my-health/mh-health-and-wellness to learn more (subject to certain collective bargaining agreements for Union positions).

Minnesota Sick and Safe Leave accruals of one hour for every 30 worked, up to 48 hours per calendar year unless otherwise provided by law.

#LI-HS1 #themuse #fbg #LI-Remote

Equal Opportunity Employer, including Disability/Vet.


What Cargill employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Cargill logo

About Cargill

Sourced by ZipRecruiter

Cargill was founded in 1865 as a single grain warehouse in Iowa, U.S. Since then, we’ve grown to become a global partner connecting people around the planet. But one thing has remained constant over the years: our purpose of nourishing the world in a safe, responsible and sustainable way. Cargill is committed to conducting business with integrity, operating responsibly, enriching communities and nourishing the world. In the fiscal year 2021, Cargill provided $110.5 million in total charitable contributions in 56 countries to support our communities. Cargill businesses and employee-led groups partner with local civic, nonprofit and non-governmental organizations on programs and projects that improve food security and nutrition; support human rights, equity and inclusion; strengthen farmer livelihoods; and advance our commitments in the areas of land use, water and climate.

Industry

Food and drink manufacturing

Company size

10,000+ Employees

Headquarters location

Minneapolis, MN, US