Note: The job is a remote job and is open to candidates in USA. Clearview AI is the leading provider of facial recognition technologies to US law enforcement, state, and federal agencies. They are seeking a highly technical Senior Machine Learning Engineer to push the limits of their computer vision and machine learning capabilities, focusing on building and shipping models for large-scale visual understanding and reasoning.
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
Skills
- 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
- 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)
Benefits
- Medical, Dental, Vision, STD and LTD Plans
- FSA - Medical and Dependent Care
- EAP and wellness programs
- 13 Paid Holidays
- Unlimited PTO
- Flexible work environment - 100% remote
- 401(k) plan
Company Overview