[Remote] Computer Vision Engineer - R&D at Panopto

Brazil

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

RetailIndustries

Requirements

5+ years of hands-on computer vision engineering, with a proven track record of shipping models to production
Deep expertise with YOLO and YOLO-E architectures - trained, tuned, and know their quirks intimately
Edge deployment mastery - experience with TensorRT, ONNX Runtime, or similar frameworks for optimizing models for constrained devices
LLM and LLMOps experience - practical knowledge of large language models, fine-tuning, prompt engineering, and building reliable LLM-powered systems
Strong software engineering fundamentals - clean code, version control, CI/CD for ML, and ability to build maintainable systems
Production ML experience - understand the difference between a Jupyter notebook and a production-grade ML system
Preferred Qualifications
Experience with retail, inventory management, or similar product-focused CV applications
Background with PyTorch and modern training frameworks
Familiarity with synthetic data generation and data augmentation techniques
Knowledge of model versioning, experiment tracking (MLflow, Weights & Biases, etc.)
Publications or open-source contributions in computer vision
Experience with AWS solutions like EC2, ECS, Fargate, S3, Bedrock, Sagemaker etc

Responsibilities

Model Development: Design, train, and iterate on custom object detection models specifically tuned for retail environments, inventory tracking, and product recognition
Edge Optimization: Take state-of-the-art models and make them blazingly fast for edge deployment through quantization, pruning, and architectural optimization
Dataset Engineering: Build robust data pipelines and annotation workflows to continuously improve model performance on diverse retail scenarios
Research & Innovation: Stay ahead of the curve on CV research, prototype new architectures, and determine what’s actually production-ready versus academic noise
Technical Leadership: Mentor engineers, establish best practices for model development, and drive technical decisions around our CV infrastructure
LLM Integration: Explore and implement multimodal approaches combining vision and language models for enhanced product understanding and classification

Skills

Computer Vision

YOLO

YOLO-E

Object Detection

Edge Deployment

TensorRT

ONNX Runtime

Quantization

Pruning

Data Pipelines

LLM

LLMOps

Panopto

Video management and streaming solutions provider

About Panopto

Panopto provides a video management and streaming platform tailored for businesses and educational institutions. Users can easily record, manage, and share video content securely, with the software compatible with both Windows and Mac systems. This allows individuals to create professional-quality videos without needing advanced technical skills. Panopto serves over 1,000 clients globally, including major companies and universities, and operates in the expanding enterprise video content management market, which supports live streaming, video recording, and secure hosting. The platform is subscription-based, offering features like interactive quizzes and advanced search capabilities, making it useful for corporate training and academic purposes. Panopto's goal is to facilitate effective video communication and learning by providing a comprehensive and user-friendly video solution.

Seattle, WashingtonHeadquarters

2007Year Founded

$47.2MTotal Funding

GROWTH_EQUITY_VCCompany Stage

Enterprise Software, EducationIndustries

51-200Employees

Benefits

Remote Work Options

Flexible Work Hours

Risks

Emerging competitors offering similar features at lower costs threaten Panopto's market share.

Rapid AI advancements may outpace Panopto's current capabilities, risking obsolescence.

Reliance on AWS Marketplace poses risks if AWS policies or pricing change negatively.

Differentiation

Panopto offers AI-powered video management solutions for education and enterprise sectors.

The platform integrates seamlessly with Learning Management Systems for enhanced educational experiences.

Panopto's certification of third-party hardware enhances its ecosystem of compatible tools.

Upsides

Growing demand for AI-driven video analytics in education boosts Panopto's market potential.

Expansion into AWS Marketplace simplifies procurement and deployment for enterprise customers.

Localized content hosting, like Japan cloud hosting, meets regional compliance needs.

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