ashby
Senior Computer Vision Engineer
Augmodo
Remote, USA
Full-time
Senior · 8+ years experience
Remote
USD 170000-200000 yearly / year
Discovered 1 weeks ago
PyTorchTensorRTCUDADockerCopilotPython
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Role Overview
We are seeking a tenured Computer Vision Engineer to serve as a technical thought leader alongside our engineering leadership. In this role, you will bridge advanced R&D with production engineering to solve some of the toughest, unsolved computer vision problems in complex retail environments.
This role requires a combination of rigorous academic grounding (deep research experience/publishing) and battle-tested industry execution. You will spend roughly 50% of your time on hypothesis-driven R&D and evidence-based analysis and 50% on concrete implementation, model optimization, and edge deployment.
Key Skills for This Role
PyTorchTensorRTCUDADockerCopilotPython
Full Job Posting
Role Overview & Mission
We are seeking a tenured Computer Vision Engineer to serve as a technical thought leader alongside our engineering leadership. In this role, you will bridge advanced R&D with production engineering to solve some of the toughest, unsolved computer vision problems in complex retail environments.
This role requires a combination of rigorous academic grounding (deep research experience/publishing) and battle-tested industry execution. You will spend roughly 50% of your time on hypothesis-driven R&D and evidence-based analysis and 50% on concrete implementation, model optimization, and edge deployment.
Key Responsibilities
- Design, implement, and optimize state-of-the-art deep learning, computer vision, and visual-language models (VLMs) for real-world retail edge deployments.
- Bridge exploratory research and production code, executing data-backed analysis to validate algorithm performance against real-world engineering risks.
- Optimize neural network inference for high-throughput, low-latency execution using TensorRT and custom CUDA primitives.
- Containerize and deploy robust ML pipelines using Docker across cloud and edge/embedded environments.
- Embrace modern AI-assisted workflows (Copilot, code-assisted tooling) to maximize engineering throughput and team productivity.
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