Senior Machine Learning Engineer

Own face machine learning projects from problem definition through production monitoring, improving biometric identification and anti-spoofing models, evaluation pipelines, and engineering standards.

Responsibilities

• Own face machine learning projects end-to-end
• Improve biometric identification and anti-spoofing models
• Apply classical computer vision and image processing
• Lead applied machine learning initiatives
• Improve face-image collection and labeling
• Build evaluation pipelines and production monitoring
• Evaluate computer vision and biometrics research
• Write technical documentation and proposals
• Shape standards for evaluation, experimentation, model versioning, and monitoring

Requirements

• Hands-on experience training, evaluating, and shipping deep learning systems for computer vision
• Understanding of latency and memory constraints
• Ability to structure ambiguous machine learning problems into technical plans
• Knowledge of data pipelines, augmentations, architectures, loss functions, optimization, tuning, and failure analysis
• Foundations in classical computer vision and image processing
• Experience with OpenCV, NumPy, or equivalent libraries
• Fluency in Python and a modern deep-learning framework such as PyTorch
• Experience designing production evaluations, metrics, thresholds, calibration, datasets, slicing, leakage prevention, and regression analysis
• Ability to write maintainable research and production-quality code
• Strong written communication and collaborative working style