Senior Machine Learning Engineer

Clearview AI

Remote USA Full Time $180,000 - $250,000 / year 2026-06-30

About Clearview AI

Clearview AI is the leading provider of facial recognition technologies to US law enforcement, state, and federal agencies. The company's mission is to assist users in solving crimes and preventing financial fraud through the responsible deployment of its facial recognition software. Clearview AI is a fast-growing startup seeking enthusiastic and intelligent team members.

About the Position

Introduction

Clearview AI is seeking a highly technical Senior Machine Learning Engineer to advance our computer vision and machine learning capabilities. This is a high-impact, hands-on role for a research-minded engineer focused on building and shipping models. The work primarily involves large-scale visual understanding, extracting structured signals from imagery, and reasoning about real-world context.

Responsibilities

Build, train, evaluate, and deploy computer vision and multimodal models from prototype to production.
Design systems to infer structured attributes and spatial context from imagery by combining learned models with geometric and heuristic reasoning.
Train and fine-tune models on large, diverse real-world image datasets, and develop pipelines for data curation and labeling at scale.
Work with vision-language models (VLMs) and establish rigorous evaluation frameworks to measure their accuracy on specific tasks.
Develop and benchmark high-performance image retrieval capabilities using embedding models and vector indexing strategies.
Optimize models for inference latency and throughput through techniques like distillation, quantization, and GPU acceleration.
Stay updated with current research, prototype novel algorithms from academic literature, and translate promising ideas into reliable production code.
Implement efficient, scalable data pipelines and inference infrastructure.
Develop high-performance tooling in ML and data engineering.
Perform additional duties and responsibilities as required by the supervisor or CEO.

Requirements

Experience building, training, evaluating, and deploying ML models in production.
Strong experience with deep learning frameworks like PyTorch, JAX, for model development and optimization.
Strong software engineering skills to build and maintain complex systems and handle large-scale datasets.
Ability to solve open-ended problems and quickly learn new domains.
Comfort operating with significant ownership and autonomy, making pragmatic trade-offs between model sophistication, velocity, inference, and business constraints.
BS, MS, or PhD in Computer Science or a related technical field, or equivalent practical experience.

Nice to Have

Experience inferring structured, real-world attributes from images.
Experience training models on large-scale, real-world image datasets.
Familiarity with vision-language models (VLMs).
Ability to digest academic literature, prototype novel algorithms, and bridge the gap between research and production code.
Experience building LLM or VLM pipelines and their evaluation frameworks.
Experience in an ML role at a growth-stage startup.
Publications in major ML or computer vision conferences (e.g., CVPR, ICML, ICCV, WACV).