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Senior Machine Learning Engineer - Clearview AI
ML Engineer
Lead the development of advanced computer‑vision and machine‑learning models for facial recognition, leveraging Python, deep‑learning frameworks, and cloud infrastructure to deliver high‑performance solutions for law‑enforcement applications.
About the role
Key Responsibilities
- Design, implement, and optimize state‑of‑the‑art computer‑vision and deep‑learning models for facial recognition pipelines.
- Develop scalable data processing and model training workflows on AWS, including GPU‑accelerated training and distributed inference.
- Collaborate with product, security, and research teams to translate requirements into robust ML solutions and integrate them into production systems.
- Conduct experiments, perform rigorous evaluation, and iterate on model performance using metrics such as accuracy, false‑positive rate, and latency.
- Mentor junior engineers, review code, and promote best practices in software engineering, reproducibility, and model governance.
Requirements
- 5+ years of professional experience building and deploying computer‑vision or deep‑learning models in production.
- Strong proficiency in Python and deep‑learning frameworks such as TensorFlow or PyTorch.
- Hands‑on experience with AWS services (SageMaker, EC2 GPU instances, S3) and containerization (Docker, Kubernetes).
- Solid understanding of computer‑vision algorithms, neural network architectures, and model optimization techniques.
- Demonstrated ability to work independently, solve complex problems, and communicate technical concepts effectively.
Skills
pythontensorflowpytorchcomputer visiondeep learningaws