Machine Learning Engineer (Biometrics)

TL;DR

Machine Learning Engineer (Biometrics): Lead the design and scaling of face recognition systems in production with an accent on computer vision and biometric model optimization. Focus on building end-to-end ML pipelines on AWS, mitigating algorithmic bias, and ensuring low-latency inference for high-scale production systems.

Location: Remote (Austria)

Company

hirify.global is a B2B technology company specializing in identity verification, eKYC, and AML solutions to combat online identity fraud and financial crimes.

What you will do

• Lead the design and development of biometric computer vision systems for face detection, attributes, and recognition.
• Conduct rigorous fairness analysis and benchmarking to measure and mitigate algorithmic bias.
• Architect, train, and optimize ML models using PyTorch, TensorFlow, and JAX.
• Own end-to-end ML pipelines from data ingestion to deployment, utilizing Airflow for automation.
• Optimize models for low-latency production inference using quantization, distillation, TensorRT, and ONNX on AWS.
• Mentor other ML engineers and establish technical best practices within the Computer Vision team.

Requirements

• Must be based in Austria
• 5+ years of industry experience in Machine Learning.
• 3+ years of dedicated experience in Biometrics or Face Analysis.
• Deep expertise in computer vision, specifically regarding face recognition.
• Expert proficiency in Python and vision libraries such as OpenCV and PyTorch.
• Experience scaling training jobs on multi-GPU clusters and deploying services via AWS (SageMaker, EC2, EKS).

Nice to have

• Research publications in CVPR, ICCV, ECCV, or FG.
• Experience with vector databases (Milvus, Faiss) and ANN search algorithms.
• Knowledge of privacy, security, and compliance standards for biometric systems.
• Experience porting models to edge/mobile devices (CoreML, LiteRT, TFLite).
• Experience using GANs or diffusion models to generate synthetic training data.

Culture & Benefits

• Guided by IDEAL values: Integrity, Diversity, Empowerment, Accountability, and Leading Innovation.
• Inclusive work environment welcoming diverse backgrounds and perspectives.
• Opportunity to work with cutting-edge AI and biometrics trusted by leading global brands.
• Flexible remote work arrangement within the specified region.