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Full Time Computer Vision Postdoc Jobs (NOW HIRING)

Woodhaven Furniture

CAD Technician

Coolidge, GA · On-site

Join Woodhaven Furniture as a Full Time CAD Technician and immerse yourself in an exciting, hands ... You will have benefits such as Medical, Dental, Vision, 401(k), Life Insurance, Competitive Salary ...

Woodhaven Furniture

CAD Technician

Coolidge, GA · On-site

Join Woodhaven Furniture as a Full Time CAD Technician and immerse yourself in an exciting, hands ... You will have benefits such as Medical, Dental, Vision, 401(k), Life Insurance, Competitive Salary ...

Woodhaven Furniture

CAD Technician

Coolidge, GA · On-site

Join Woodhaven Furniture as a Full Time CAD Technician and immerse yourself in an exciting, hands ... You will have benefits such as Medical, Dental, Vision, 401(k), Life Insurance, Competitive Salary ...

The Pennsylvania State University

$86K - $164K/yr

POSITION SPECIFICS We are seeking a Computer Vision Engineerto join the Image Science and Computer ... full-time employees designed to support both personal and professional well-being. In addition to ...

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Full Time Computer Vision Postdoc information

Is it full or ful?

The correct term for the job is 'Full-Time Computer Vision Postdoc,' indicating a position with full-time hours typically requiring a standard workweek. The abbreviation 'ful' is incorrect and likely a typo or shorthand for 'full.'

What is a Full Time Computer Vision Postdoc?

A Full Time Computer Vision Postdoc is a researcher who has completed their PhD and works full time on advanced research projects involving computer vision. This role typically involves developing new algorithms, conducting experiments, publishing papers, and collaborating with other scientists in areas such as image recognition, object detection, and machine learning. Postdocs often work at universities, research institutes, or tech companies, and their work helps drive innovation in fields like robotics, healthcare, and autonomous vehicles. The position is generally temporary, lasting from one to three years, and is designed to build expertise before pursuing more permanent academic or industry roles.

What are some common challenges faced by a Full Time Computer Vision Postdoc working in a research setting?

As a Full Time Computer Vision Postdoc, you may encounter challenges such as balancing independent research with collaborative projects, staying current with rapid advancements in machine learning techniques, and managing the publication process for top-tier conferences and journals. Additionally, you'll often need to adapt your work to align with the broader goals of your research group or funding body. Effective communication and teamwork are essential, as you'll likely collaborate with other researchers, engineers, and sometimes industry partners to push the boundaries of computer vision applications.

What is the synonym for full?

In the context of a full-time computer vision postdoctoral position, the synonym for full is often 'complete' or 'entire,' indicating the position requires full-time commitment. Such roles typically involve a standard 40-hour workweek and may require specialized skills in machine learning, image processing, and programming languages like Python or C++.

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

To thrive as a Full Time Computer Vision Postdoc, you need a strong background in computer vision, machine learning, and mathematical modeling, typically supported by a PhD in computer science, engineering, or a related field. Experience with programming languages such as Python or C++, deep learning frameworks (e.g., TensorFlow, PyTorch), and familiarity with version control and high-performance computing environments are commonly required. Strong analytical thinking, problem-solving abilities, and effective communication are crucial for collaborating with interdisciplinary teams and publishing research findings. These skills ensure the ability to drive innovative research, contribute to scientific advancements, and meet the rigorous demands of academic or industry research environments.
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Full Time Computer Vision Postdoc jobs near you
Senior Software Engineer, Computer Vision

Senior Software Engineer, Computer Vision

Knightscope, Inc.

Sunnyvale, CA

$175K - $210K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 14 days ago

Job description

About Knightscope

Knightscope is a security technology company building the Nation's First Autonomous Security Force. The Company combines autonomous machines, advanced software, and human expertise to help protect people, property, and critical infrastructure. Knightscope's long-term mission is to make the United States of America the safest country in the world.


About the Role

We are looking for a Senior Software Engineer to design, develop, and deploy computer vision systems that turn continuous video, audio, and sensor streams into reliable security intelligence. Your work will directly impact the safety and operational effectiveness of deployed security platforms across hundreds of real-world sites. You will collaborate with embedded, cloud, and product teams to deliver perception capabilities that power real-time threat detection and response.


Location Requirement: Full-time, on-site at Sunnyvale HQ (no relocation provided)


Key Responsibilities

  • Design and own the end-to-end ML pipeline for security perception: data ingestion, annotation, model training, evaluation, and deployment across edge and cloud targets.
  • Develop and deploy computer vision models for real-time security intelligence, spanning detection, tracking, recognition, and classification, on embedded GPU hardware.
  • Build and maintain data flywheel and active learning pipelines that leverage fleet-scale production data to drive continuous model improvement.
  • Optimize and deploy models to edge hardware using TensorRT, INT8/FP16 quantization, and hardware-aware model design for NVIDIA Jetson platforms.
  • Define evaluation frameworks and metrics to measure model performance in production, identify failure modes, and drive reliability improvements.
  • Collaborate with embedded, cloud, and product teams to integrate perception outputs into the security incident pipeline.
  • Support on-robot integration, debugging, and validation in real-world environments


Required Qualifications

  • 5+ years shipping computer vision or ML systems to production in physical security, video analytics, surveillance, automotive, or robotics domains.
  • Deep expertise in one or more areas: object detection, video analytics, multi-camera tracking, audio classification, or edge AI inference.
  • Strong ML engineering in Python and C++ with hands-on experience in PyTorch or TensorFlow, model optimization, and production deployment.
  • Understanding of camera systems, image processing, ISP pipelines, and sensor characteristics as they affect model design and performance.
  • Experience deploying ML models on embedded GPU platforms such as NVIDIA Jetson or equivalent under real-world latency and power constraints.

Preferred Qualifications

  • Experience with GPU-accelerated video analytics frameworks such as NVIDIA DeepStream or equivalent.
  • Familiarity with camera SoC hardware, ISP pipelines, and system-level trade-offs for edge AI.
  • Background in active learning, data flywheel design, or large-scale dataset curation for production CV systems.
  • Familiarity with VLM or multimodal AI approaches for scene understanding and anomaly detection in security contexts.
  • Familiarity with cloud ML infrastructure: training orchestration, model registries, and OTA model deployment for fleet systems.
  • MS or PhD in Computer Science, Electrical Engineering, Machine Learning, or related field.

Compensation & Benefits

  • Base Salary:$175,000 to $210,000 base (DOE)
  • Equity:Stock options
  • Benefits:Medical, dental, vision, 401(k), paid time off
  • Location Requirement:Full-time, on-site at Sunnyvale HQ

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