Computer Vision Engineer

Bright Vision Technologies • Sunnyvale, CA

1d • $115,000 - $165,000 • Remote

About The Position

Bright Vision Technologies is seeking a Computer Vision Engineer to develop image and video analysis solutions for enterprise applications. The engineer will prepare visual datasets, build and evaluate computer vision models, optimize inference workflows, and collaborate with software and data teams to integrate reliable visual intelligence into production systems.

This is a remote, full-time, direct W2 position. The annual salary range is $115,000–$165,000. The role requires typically 5+ years of experience in computer vision, machine learning, or image-processing engineering, aligned with the approved requisition. Bright Vision Technologies does not sponsor new H-1B visa petitions for this position; U.S. citizens, Green Card holders, EAD holders, and H-1B transfer candidates are encouraged to apply.

Requirements

• Typically 5+ years in computer vision, machine learning, or image-processing engineering; align with the approved requisition.
• Strong Python programming and experience with OpenCV and image-processing workflows.
• Hands-on knowledge of PyTorch or TensorFlow for developing or fine-tuning vision models.
• Understanding of image classification, object detection, segmentation, data augmentation, and evaluation metrics.
• Experience preparing and analyzing image or video datasets and diagnosing model performance issues.
• Working knowledge of model deployment, REST APIs, Git, and software testing practices.
• Strong analytical, debugging, experimentation, and communication skills.
• Experience working in iterative software delivery teams.

Nice To Haves

• Experience with YOLO, Detectron2, torchvision, or comparable computer vision frameworks.
• Exposure to GPU inference optimization, ONNX, TensorRT, or edge deployment.
• Familiarity with cloud ML platforms, data labeling workflows, and model monitoring.
• Relevant computer vision, machine learning, or cloud certification.

Responsibilities

• Develop computer vision pipelines for image classification, object detection, segmentation, or visual inspection use cases.
• Prepare, annotate, validate, and augment image or video datasets for model development.
• Train, fine-tune, and evaluate models using appropriate architectures and task-specific metrics.
• Optimize model inference for accuracy, throughput, latency, and deployment constraints.
• Integrate vision models into APIs, batch workflows, or edge/application environments and document model performance.
• Collaborate with software and data teams to integrate visual intelligence into production systems.
• Participate in planning, defect triage, and release validation as appropriate to the assignment.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed