Clearview AI Verified
Artificial Intelligence, Facial Recognition, Law Enforcement Technology, SaaS
Senior Machine Learning Engineer
RemoteRemoteFull TimeSenior$180,000–$250,000 /yrPosted 29 days agoHidden Gem · Himalayas
Required skills
- PyTorch
- JAX
- computer vision
- machine learning
- model training
- model evaluation
- model deployment
- large-scale datasets
- software engineering
- data pipelines
Nice to have
- vision-language models
- VLMs
- LLM pipelines
- academic literature
- novel algorithms
- growth-stage startup
Role summary
Clearview AI is seeking a Senior Machine Learning Engineer, a highly technical individual contributor focused on advancing their computer vision and machine learning capabilities. This role involves building, training, evaluating, and deploying models, designing systems for visual understanding, and optimizing inference. The ideal candidate will have strong experience with deep learning frameworks like PyTorch or JAX, robust software engineering skills, and the ability to work autonomously. While the focus is on ML/CV expertise, familiarity with vision-language models and research prototyping is a plus. The position is 100% remote.
Clearview AI is the leading provider of facial recognition technologies to US law enforcement, state, and federal agencies. Our mission is to help our users solve crimes and prevent financial fraud with the responsible use of our facial recognition software. Our company is a high-octane, fast growing startup looking to hire enthusiastic and intelligent team members to join our team. To learn more about us, and our revolutionary facial recognition technology, please visit .Senior Machine Learning Engineer
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, not manage a team. 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
- Additional duties and responsibilities as reasonably required by the employee’s supervisor or CEO
Requirements and Experience
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
- 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
Originally posted on Himalayas
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