About this opportunity
AIToolboard lists this Computer Vision / Machine Learning Engineer opportunity in boston, Massachusetts. Review the employer’s description below for duties, qualifications and application requirements.
Job description
Jobs / Computer Vision / Machine Learning Engineer
Computer Vision / Machine Learning Engineer
Contractor
About the Role
Computer Vision / Machine Learning Engineer (Contract)Contract Length: 6 monthsWork Arrangement: Hybrid (onsite 3 days/week in Greater Boston)Computer Vision / Machine Learning Engineer to support an active, production-focused initiative. This role is centered on improving detection and tracking accuracy for object-counting systems operating in real-world, high-throughput environments.The ideal candidate has hands-on experience building and deploying computer vision models, working with multimodal sensor data, and optimizing inference pipelines for edge deployment.
What You’ll Work On
Enhancing object detection, segmentation, and tracking accuracy in operational systems
Developing and deploying models into validation and pre-production environments
Improving real-time performance and reliability on edge hardware
Key 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
Technical Environment
Computer Vision & ML: Instance Segmentation, Object Tracking
Sensor Data: RGB + Depth (basic multi-sensor fusion)
Edge & Optimization: NVIDIA-based edge hardware, TensorRT or similar acceleration tools
Qualifications
Proven experience delivering production-grade ML or CV systems
Strong software engineering fundamentals (version control, testing, CI/CD)
Experience deploying models beyond experimentation into real environments
Ability to meet strict accuracy and performance benchmarks
Comfortable working within cloud-only data environments with controlled access policies
Nice to Have
Experience optimizing models for edge or embedded systems
Familiarity with real-time or near–real-time vision pipelines
Background in industrial, robotics, or high-volume operational settings
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Worksite address
boston, MA, 02298, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.