Senior Machine Learning Engineer
Core
Design, train, and scale end-to-end computer vision ML systems for biometrics use cases including face detection, quality assessment, and recognition.
Role type
Senior Machine Learning Engineer (Computer Vision)
Builds
Biometrics ML pipelines and models for identity verification and fraud prevention
Domain
Biometrics / Computer Vision / Financial Crime Prevention
Deliverable
production ML models
Required skills
Computer Vision fundamentals, Python, PyTorch, TensorFlow, JAX, AWS, Airflow, model optimization (quantization, distillation, TensorRT/ONNX), systems architecture
Preferred skills
Research publications in top CV venues, vector databases/ANN search, GANs/diffusion models, mobile/edge deployment (CoreML, LiteRT, TFLite), privacy/security compliance
Technologies
PyTorch, TensorFlow, JAX, Airflow, TensorRT, ONNX, AWS, Pillow, OpenCV
Responsibilities
Design and develop computer vision models and pipelines; benchmark models across datasets and operating conditions; train and optimize models; contribute to end-to-end ML pipelines from data ingestion to deployment; optimize models for low-latency inference; mentor ML engineers and contribute to technical best practices
Seniority
Senior, hands-on IC