Edge CV/ML Engineer: Real-Time Object Tracking & Deployment

AIToolboard; Boston (MA); Hybrid; USD 82,656 - 123,984; Full time

Job summary

AIToolboard in Greater Boston is seeking a Contract Computer Vision / Machine Learning Engineer to support an active, production-focused initiative aimed at improving detection and tracking accuracy for object-counting systems operating in real-world, high-throughput environments.

The role focuses on developing and deploying CV/ML models, optimizing inference pipelines for edge deployment, and ensuring real-time performance on NVIDIA-based edge hardware within a hybrid work arrangement.

Qualifications

• Proven experience delivering production-grade ML or CV systems.

Responsibilities

• Model Development: Train, validate, and deploy computer vision models, with an emphasis on instance segmentation
• Tracking & Fusion: Implement tracking approaches that combine color and depth data to maintain object persistence across frames
• Data Quality: Support data curation efforts and audit external annotations to ensure high-quality ground truth
• Performance Optimization: Tune inference pipelines for low-latency execution on edge platforms

Skills

Computer Vision

Machine Learning

Edge Deployment

Real-time Systems

Tools

TensorRT

CUDA

Git

Job description

AIToolboard in Greater Boston is seeking a Contract Computer Vision / Machine Learning Engineer to support an active, production-focused initiative aimed at improving detection and tracking accuracy for object-counting systems operating in real-world, high-throughput environments.

The role focuses on developing and deploying CV/ML models, optimizing inference pipelines for edge deployment, and ensuring real-time performance on NVIDIA-based edge hardware within a hybrid work arrangement.