Computer Vision Engineer (Senior)

About the role

Pangram Labs is seeking a Computer Vision Engineer to develop and deploy multimodal AI detection systems. Key responsibilities include:

• Train large-scale deep learning models to detect AI-generated content
• Own the full lifecycle of model development, from data and training through deployment, serving, and monitoring
• Build and operate production systems for inference services, batch pipelines, and infrastructure
• Design evaluation and monitoring pipelines to catch model regressions and detect drift
• Create infrastructure for synthetic dataset creation and large-scale data processing
• Improve model accuracy, robustness, and efficiency through experimentation
• Translate models into product features and communicate results to technical and non-technical audiences

Requirements

• 3-5+ years of experience building and deploying ML systems in production, or a Ph.D. in AI, Machine Learning, Computer Vision, or a related field
• A strong engineering track record, including shipping production code, deploying models, and building reliable systems
• Experience training neural networks in PyTorch at scale, including distributed training
• Experience with AI infrastructure and distributed systems, such as model serving, pipelines, and production tooling
• Deep understanding of generative image models, including diffusion models, GANs, and autoregressive image models
• Solid understanding of neural networks for video, audio, time series, and signal processing
• Familiarity with recent technical developments in Large Language Models (LLMs)

Nice to have

• Experience with MLOps tooling, CI/CD for ML, or model observability and monitoring at scale
• Experience or publications in image forensics or deepfake detection
• Experience with synthetic data, adversarial robustness, or interpretability