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# Senior Machine Learning Engineer

- **Company:** Clearview Ai, Inc.
- **Location:** Washington, DC, United States (Remote available)
- **Experience:** Expert
- **Salary:** $180,000.0 - $250,000.0
- **Contract:** Permanent contract
- **Skills:** Computer Vision, Big Data, Information Engineering, Machine Learning, Language Modeling, Software Engineering, Pytorch, Large Language Models, Database Optimization, Deep Learning, Information Technology, Production Code, Machine Learning Operations, Data Pipelines
- **Published:** June 29, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=b1e18b85089e91d2

## About the Role

Do you have experience in Software engineering?, Do you have a Bachelor's degree?, * 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)

## Description

* 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


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