Computer Vision Engineer

About the Company

Pangram Labs’ mission is to protect authenticity by building the world’s best AI detection systems. We publish research on state-of-the-art AI detection techniques and algorithms, and build products to bring our technology into people's daily lives.

Responsibilities

• Train large-scale deep learning models to detect AI-generated content, owning the full lifecycle from data pipelines to deployment
• Build and operate production systems for detection models, including inference services and batch pipelines
• Design evaluation and monitoring pipelines to catch model regressions and detect drift
• Build infrastructure for synthetic dataset creation and large-scale data processing
• Improve model accuracy, robustness, and efficiency through experimentation grounded in production metrics
• Work with engineering and product teams to translate models into shipped product features

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 area
• Strong engineering track record of shipping production code or first-author publications at major AI/CV venues (CVPR, ICCV, NeurIPS, etc.)
• Experience training neural networks in PyTorch at scale, including distributed training
• Experience with AI infrastructure and distributed systems, including model serving and pipelines
• Deep understanding of generative image models such as diffusion models, GANs, and autoregressive models
• Solid understanding of neural networks for video, audio, time series, and signal processing
• Familiarity with recent technical developments in LLMs

Preferred Qualifications

• 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

Benefits

• Salary Range: $230,000–$260,000 per year
• Competitive equity
• Healthcare benefits
• Free lunch at the office