Senior Machine Learning Engineer

Clearview AI; United States; On-site; USD 180,000 - 250,000; Full time

Benefits offered by this job

Medical plans

Dental plans

Vision plans

STD/LTD plans

Job summary

Clearview AI is seeking a highly technical individual contributor to advance computer vision and ML capabilities. This hands-on role focuses on building and shipping models, with emphasis on deep ML/CV ability across diverse tasks.

You will design systems to infer structured attributes from imagery, train on large datasets, and optimize for production performance, latency, and scalability, bridging research and production.

Qualifications

• Experience building, training, evaluating, and deploying ML models in production.
• Strong experience using PyTorch, JAX, or other deep learning frameworks.
• Strong software engineering ability to build and maintain complex systems and work with large-scale datasets.
• BS, MS, or PhD in Computer Science or a related technical field, or equivalent practical experience.

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.

Skills

ML model development

PyTorch / JAX

Large-scale data handling

Software engineering

Open-ended problem solving

Ownership and autonomy

Education

BS/MS/PhD in CS or related field

Tools

PyTorch

JAX

Job description

Position Summary:

We are hiring a highly technical individual contributor to push the limits of our computer vision and machine learning capabilities. This is a high-impact, hands-on role for a research-minded engineer who wants to build and ship models. Much of the work involves large-scale visual understanding, extracting structured signals from imagery and reasoning about the real-world context behind a photograph, but we care more about deep ML/CV ability than any one problem area and welcome strong generalists.

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

Requirements:

• Experience building, training, evaluating, and deploying ML models in production
• Strong experience using PyTorch, JAX, or other deep learning frameworks to develop and optimize models
• Strong software engineering ability to build and maintain complex systems and work with 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 the evaluation frameworks to measure their performance
• Experience in an ML role at a growth-stage startup
• Publications in major ML or computer vision conferences (e.g., CVPR, ICML, ICCV, WACV)
• Medical, Dental, Vision, STD and LTD Plans