Senior ML Engineer – Vision & Multimodal Models

clearview; Washington (District of Columbia); On-site; USD 150,000 - 210,000; Full time

Job summary

Clearview AI is seeking a Senior Machine Learning Engineer to push the limits of computer vision and ML capabilities. This highly technical, individual-contributor role focuses on building and shipping models from prototype to production, applying large-scale visual understanding and multimodal approaches.

The role emphasizes developing and benchmarking high‑performance image representations, data pipelines, and robust inference infrastructure to accelerate real‑world impact across our products.

Responsibilities

• Build, train, evaluate, and deploy computer vision and multimodal models, taking them from early prototype through to production
• Design systems that infer structured attributes and spatial context from imagery, combining learned models with geometric and heuristic reasoning
• Train and fine‑tune models on large, diverse real‑world image datasets, and build the pipelines to curate and label that data at scale
• Work with vision‑language models (VLMs) and build rigorous evaluation frameworks to measure their accuracy on our tasks
• Develop and benchmark high‑performance image retrieval capabilities with embedding models and vector indexing strategies
• Optimize models for inference latency and throughput using techniques like distillation, quantization, and GPU acceleration
• Read current research, prototype novel algorithms from academic literature, and turn promising ideas into reliable production code
• Implement efficient, scalable data pipelines and inference infrastructure
• Develop high‑performance tooling in ML and data engineering
• Additional duties and responsibilities as reasonably required by the employee’s supervisor or CEO

Job description

Clearview AI is seeking a Senior Machine Learning Engineer to push the limits of computer vision and ML capabilities. This highly technical, individual-contributor role focuses on building and shipping models from prototype to production, applying large-scale visual understanding and multimodal approaches.

The role emphasizes developing and benchmarking high‑performance image representations, data pipelines, and robust inference infrastructure to accelerate real‑world impact across our products.