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From Home Computer Vision Postdoc Jobs in New York

Computer Vision/ML Engineer

Brooklyn, NY · On-site

$121K - $142K/yr

... from research to production Qualifications : Required : • Master's or PhD degree in Machine ... Norbert Health develops a home medical pod that monitors the health of families using contactless ...

Computer Vision/ML Engineer

Brooklyn, NY · On-site

$121K - $142K/yr

... from research to production Qualifications : Required : • Master's or PhD degree in Machine ... Norbert Health develops a home medical pod that monitors the health of families using contactless ...

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 ...

Computer Vision/ML Engineer

New York, NY · On-site

$122K - $143K/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 ...

Computer Vision/ML Engineer

New York, NY · On-site

$122K - $143K/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 ...

Computer Vision MLE Type: Contract Compensation: $135/hour Location: Remote Duration: 3-4 weeks ... Experience classifying or grading physical objects from images. * Strong evaluation discipline in ...

Our 3D computer vision team develops algorithms and open source applications for photogrammetry: reconstructing 3D models of objects from images and video. Current 3D projects have an emphasis on ...

Senior Data Scientist - Computer Vision & Predictive Maintenance We are looking for a Senior Data ... We strongly encourage individuals from groups traditionally underrepresented in tech to apply. To ...

Familiarity with data/video coding tools and computer vision (e.g., OpenCV, scikit-learn). We welcome applicants with recent PhDs and individuals seeking additional postdoctoral training. Candidates ...

WORK FROM HOME

Hoboken, NJ · On-site +1

$300 - $500/wk

We are looking for individuals interested in working from home, remotely, as life insurance sales ... Must have a computer and phone to service the clients. * This is all online so internet connection ...

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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.

Computer Vision/ML Engineer

Brooklyn, NY • On-site

Norbert Health
Fitness and Sports Centers • 11 - 50 employees

$121K - $142K/yr

Full-time

Re-posted 18 days ago


Job description

Job Summary:
Norbert Health is building autonomous robots that deliver healthcare, focusing on AI sensing technology for patient monitoring. They are seeking a lead deep learning engineer to develop computer vision models and optimize them for real-time inference on edge devices.
Responsibilities:
• Design, fine-tune, and deploy computer vision models (YOLO, InsightFace, MediaPipe, facial landmark detection, object tracking, pose estimation) for real-time inference on the edge
• Optimize models for embedded deployment using quantization, pruning, TensorRT, and NVIDIA Triton
• Build and maintain MLOps pipelines for model training, validation, and performance monitoring
• Develop video processing pipelines that integrate with both classical signal processing and ML based vital sign extraction
• Establish engineering best practices and help reduce technical debt as we scale
• Contribute to the architecture and implementation of the computer vision stack from research to production
Qualifications:
Required:
• Master's or PhD degree in Machine learning / Computer vision
• Strong fundamentals: data structures, CV algorithms, and systems programming
• Strong C++ skills - this is critical for our edge deployment pipeline
• Solid Python proficiency for ML experimentation and tooling
• Ability to work independently, solve complex problems, and drive projects to completion
• 5+ years experience deploying computer vision models to production, ideally on resource-constrained devices
• Experience with PyTorch and model optimization for edge AI
• Proven ability to take models from research to production on embedded hardware
Preferred:
• Experience with NVIDIA Jetson platform, TensorRT, or Triton Inference Server
• MLOps experience (experiment tracking, model versioning, performance monitoring)
• Experience with sensor fusion (RGB, IR, depth cameras)
• Background in medical devices, regulated environments, or healthcare applications
• Experience working in fast-moving early-stage environments
Company:
Norbert Health develops a home medical pod that monitors the health of families using contactless sensors. Founded in 2019, the company is headquartered in Brooklyn, USA, with a team of 11-50 employees. The company is currently Early Stage.