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From Home Computer Vision Postdoc Jobs (NOW HIRING)

Clarapath Inc

Computer Vision Engineer

Hawthorne, NY

$130K - $180K/yr

Computer Vision Engineer LOCATION: Hawthorne, NY (on-site) TYPE : Full time, regular COMPENSATION ... This individual will contribute to all phases of the product development lifecycle, from algorithm ...

Nutanix

Computer Vision Engineer

San Diego, CA · On-site

$118K - $139K/yr

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 ...

Weekday AI

Computer Vision Expert

$80 - $110/hr

We are seeking experienced Computer Vision Experts to serve as subject matter experts, designing ... Your work will not involve access to confidential or proprietary information from any employer ...

Meta

Computer Vision Engineer

Burlingame, CA · On-site

$121K/yr

Collaborate with cross-functional engineering and research teams from Meta Reality Labs in computer vision, machine learning, graphics, optics, camera hardware, manufacturing, and others * Define ...

SID Global Solutions

Computer Vision Engineer

Bellevue, WA · On-site

$125K - $148K/yr

Role Overview We are seeking a highly skilled and innovative Computer Vision Engineering to lead ... Demonstrated ability to lead large-scale engineering projects or device development from concept ...

Qualcomm

Computer Vision Engineer

San Diego, CA · On-site

$148K - $222K/yr

Leverage advanced video and computer vision engineering expertise to research, design, and ... work, at home, and at play. If you would like more information about this role, please contact ...

SID Global Solutions

Computer Vision Engineer

Bellevue, WA · On-site

$125K - $147K/yr

Role Overview We are seeking a highly skilled and innovative Computer Vision Engineering to lead ... Demonstrated ability to lead large-scaleengineering projects or device development from concept ...

Compunnel

Computer Vision Engineer

Chicago, IL · On-site

$114K - $135K/yr

The engineer will own the ML lifecycle from problem definition and data strategy through model ... improve computer vision model performance. • Develop and implement LLM-based verification ...

Observable Space

Computer Vision Engineer

Los Angeles, CA · On-site

$190K - $230K/yr

From advanced ground stations, on-orbit sensor suites, free space optical lasercom, to distributed ... About The Role We are seeking a highly experienced and motivated Computer Vision Engineer to join ...

Observable

Computer Vision Engineer

Los Angeles, CA · On-site

$120K - $141K/yr

From advanced ground stations, on-orbit sensor suites, free space optical lasercom, to distributed ... About The Role We are seeking a highly experienced and motivated Computer Vision Engineer to join ...

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 ...

T3i, Inc.

Computer Vision Engineer - UAS

San Antonio, TX

$100K - $118K/yr

Write custom computer vision algorithms from scratch where library implementations don't meet platform constraints (real-time, embedded, adversarial conditions) * Own camera and sensor integration ...

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From Home Computer Vision Postdoc information

What is a from home computer vision postdoc?

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 skills and qualifications are needed to thrive as a from home computer vision postdoc?

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 are 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.

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What are the most commonly searched types of Computer Vision Postdoc jobs?

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From Home Computer Vision Postdoc jobs near you

Computer Vision Engineer

Richardson, TX • On-site

Texas State Library and Archives Commision
Libraries and Archives • 201 - 500 employees
Learn more about Texas State Library and Archives Commisionexternal

$101K - $119K/yr

Full-time

Re-posted 28 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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