Senior Computer Vision Engineer

Job not on LinkedIn

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $170k - $200k / year

⏰ Full Time

🟠 Senior

👁️ Computer Vision Engineer

👻 Ghost score 7%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Augmodo

WebsiteLinkedInAll Job Openings

11 - 50 employees

💼 Consulting

📦 Logistics

📣 Marketing

Consulting • Logistics • Marketing

Augmodo is a technology company that specializes in enhancing retail operations through its innovative solutions. With a focus on leveraging spatial AI, Augmodo provides real-time tracking and insights into store conditions, enabling brands to optimize inventory management and improve associate efficiency. Their unique Smartbadge™ technology allows for passive supervision and data gathering without sacrificing employee privacy or requiring significant operational changes, ensuring a smoother experience for retail workers and shoppers alike.

📋 Description

• Serve as a technical thought leader alongside engineering leadership • Bridge advanced R&D with production engineering to solve difficult computer vision problems in complex retail environments • Spend approximately 50% of time on hypothesis-driven R&D and evidence-based analysis • Spend approximately 50% of time on implementation, model optimization, and edge deployment • Design, implement, and optimize state-of-the-art deep learning, computer vision, and visual-language models for real-world retail edge deployments • Bridge exploratory research and production code • Execute 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 • Use AI-assisted workflows such as Copilot and code-assisted tooling to maximize engineering throughput and team productivity

🎯 Requirements

• 8+ years of substantial industry experience delivering production-grade computer vision systems • Strong academic/research experience at Master's or Ph.D. level in Computer Science, Robotics, Electrical/Computer Engineering, or a related field • Proven history of translating complex R&D/fundamental research into evidence-backed, production-grade pipelines • Deep expertise in PyTorch, custom deep learning/graphics architectures, and Vision-Language Models (VLMs) • Hands-on experience with TensorRT, CUDA optimization, and low-level GPU acceleration • Deep familiarity with Docker for reproducible ML environments • Production-grade Python mastery • Strong C++ capability for high-performance components • Experience with dense image registration/warping algorithms • Proven structured analytical approach to innovating in computer vision • Legally authorized to work in the United States • Must answer whether visa sponsorship is required now or in the future

🏖️ Benefits

• Medical insurance • Dental insurance • Vision insurance • 401(k) • Equity