Senior Machine Learning Engineer
Core
Building and operating large-scale production ML models for document analysis, face recognition, and deepfake detection serving 2M+ verifications daily.
Role type
Senior Machine Learning Engineer (Computer Vision & NLP)
Builds
40+ production ML models on mixed CPU/GPU fleets handling 2000 RPS
Domain
Financial services / Identity verification / Computer Vision / NLP
Deliverable
production ML models
Required skills
Deep learning model training (PyTorch), Computer Vision (detection, classification, anti-spoofing), NLP (sequence labeling, transformers), Inference optimization (quantization, pruning), Kubernetes, Cloud platforms (GCP, AWS), Probability and statistics, Linear algebra
Preferred skills
Face recognition, Liveness detection, Deepfake detection, Metric learning, Large-scale vector search, OCR, Document forensics, Open-source contributions
Technologies
PyTorch, OpenVINO, CTranslate2, Triton, vLLM, Kubernetes, GCP, AWS
Responsibilities
Frame ambiguous business problems into mathematical objectives, Train and deploy models end-to-end, Design rigorous evaluation protocols, Optimize inference for latency and cost, Mentor junior engineers on math-driven problem solving
Seniority
Senior, hands-on IC
