Machine Learning Research Engineer
Roboflow$200,000 - $275,000/year
Full Time
Senior (5 to 8 years), Expert & Leadership (9+ years)
Not SpecifiedCompensation
Senior (5 to 8 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 - understanding the difference between a Jupyter notebook and a production-grade ML system
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 CV infrastructure
- LLM Integration: Explore and implement multimodal approaches combining vision and language models for enhanced product understanding and classification
Skills
Key technologies and capabilities for this role
Questions & Answers
Common questions about this position
Is this position remote?
Yes, the position is fully remote.
What are the key required skills for this role?
The role requires 5+ years of hands-on computer vision engineering with production experience, deep expertise in YOLO and YOLO-E architectures, edge deployment mastery with tools like TensorRT or ONNX Runtime, LLM and LLMOps experience including fine-tuning and prompt engineering, and strong software engineering fundamentals.
What is the salary or compensation for this position?
This information is not specified in the job description.
What does the technical stack look like for this role?
You'll likely work with PyTorch, YOLO variants, TensorRT, ONNX, Docker, Kubernetes, and various MLOps tooling.
What makes a strong candidate for this Senior Computer Vision Engineer role?
A strong candidate has 5+ years of production computer vision experience, deep YOLO expertise, edge deployment skills, LLMOps knowledge, and technical leadership ability, with preferred experience in retail CV applications, PyTorch, synthetic data, and AWS solutions.
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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