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From Home Computer Vision Postdoc Jobs (NOW HIRING)

Qualcomm

Computer Vision Engineer

San Diego, CA · On-site

$118K - $139K/yr

The Staff Computer Vision Engineer will leverage expertise in computer vision and video processing ... vision pipelines, from concept through production deployment. • Lead system‑ and ...

Duranta

Computer Vision Engineer

Seattle, WA · On-site

$160K - $225K/yr

We are a seed-stage startup building cutting-edge computer vision and generative modeling systems to understand the physical world from aerial and oblique imagery. Our team includes award winning ...

Burnetts Staffing

Computer Vision Engineer

Fort Worth, TX · On-site

$43.27 - $61/hr

... a Computer Vision Engineer in Fort Worth, TX to design and build a real-time video analytics ... This system processes streams from dozens of cameras to detect, track, and analyze human movement ...

Qualcomm

Computer Vision Architect

San Diego, CA · On-site

Qualcomm's Computer Vision Systems team is building the intelligence behind the world's most ... at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to ...

Molg

Computer Vision Engineer

Sterling, VA · On-site

$110K - $130K/yr

As a Computer Vision Engineer, you will: * Drive the architecture, development, and deployment of ... Own the full vision stack, from sensor selection and calibration through perception algorithms and ...

Qualcomm

Computer Vision Architect

San Diego, CA · On-site

Qualcomm's Computer Vision Systems team is building the intelligence behind the world's most ... at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to ...

Norbert Health

Computer Vision/ML Engineer

Brooklyn, NY

$117K - $138K/yr

Contribute to the architecture and implementation of the computer vision stack from research to production What we look for: * Master's or PhD degree in Machine learning / Computer vision * Strong ...

techire ai

3D Computer Vision

San Francisco, CA · On-site

$131K - $154K/yr

Own and evolve key parts of a 3D vision pipeline from early design through to deployment * Build and refine geometry-heavy vision systems, integrating learned models where appropriate * Prototype ...

Norbert Health

Computer Vision/ML Engineer

Brooklyn, NY · On-site

$117K - $138K/yr

Contribute to the architecture and implementation of the computer vision stack from research to production What we look for: * Master's or PhD degree in Machine learning / Computer vision * Strong ...

SumerSports LLC

Computer Vision Engineer

$114K - $134K/yr

We are a collection of executives, engineers, data scientists, and visionaries from NFL clubs ... We're hiring a hands-on Computer Vision Engineer to build and improve sports video intelligence ...

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All JobsFrom Home Computer Vision Postdoc Jobs

From Home 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 such as limited access to lab hardware, potential isolation from peers, and coordinating collaborative research across time zones. To overcome these, postdocs can leverage cloud-based computational resources, schedule regular virtual meetings with their research team, and participate in online seminars or forums to stay connected with the community. Effective communication and proactive networking are key to maintaining productivity and collaboration while working from home.

What are From Home Computer Vision Postdocs?

A From Home Computer Vision Postdoc is a researcher with a doctoral degree who conducts advanced research in computer vision while working remotely, typically from home. These postdoctoral positions focus on developing algorithms and systems that enable computers to interpret and analyze visual information from the world, such as images and videos. Remote postdocs in this field often collaborate with academic institutions, research labs, or companies via digital communication tools. They may publish scientific papers, contribute to open-source projects, or assist in teaching while enjoying the flexibility of a work-from-home arrangement.

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

To thrive as a From Home Computer Vision Postdoc, you need a PhD in computer science or a related field, with deep expertise in computer vision algorithms and research methodologies. Proficiency with programming languages like Python or C++, and experience using deep learning frameworks such as TensorFlow or PyTorch, are typically required. Strong analytical thinking, self-motivation, and effective remote collaboration skills help you excel in this role. These skills are crucial for conducting advanced research, publishing high-quality work, and contributing to collaborative projects in a remote academic or industry environment.
What cities are hiring for From Home Computer Vision Postdoc jobs? Cities with the most From Home Computer Vision Postdoc job openings:
What are the most commonly searched types of Computer Vision Postdoc jobs? The most popular types of Computer Vision Postdoc jobs are:
What states have the most From Home Computer Vision Postdoc jobs? States with the most job openings for From Home Computer Vision Postdoc jobs include:
From Home Computer Vision Postdoc jobs near you

Computer Vision Engineer

Texas State Library and Archives Commision

Richardson, TX • On-site

$101K - $119K/yr

Full-time

Posted 6 days ago

Job description

  • MS/PhD in computer science, or related technical disciplines.
  • 6+ years hands-on development experience in deep learning/machine learning/data science with expertise in computer vision.
  • Proficient in Python programming language.
  • Solid knowledge of machine learning frameworks and tools - PyTorch, OpenVino, TensorRT, OpenCV, NumPy etc.
  • Solid knowledge of developing convolution neural networks from scratch.
  • Experience with object detection, segmentation, classification and object tracking.
  • Experience with handling and manipulating large datasets.
  • Experience with developing automated machine learning pipelines.
  • Solid experience in building scalable, high performance software systems.
  • Proven ability to translate high-level product requirements into technical solutions.
  • Enthusiasm to work in a vibrant, collaborative and fast-paced engineering team.

Resource should be working in the office, Work from home is not supported.

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