Senior Machine Learning Engineer, GenAI Security
Core
Building zero-trust, defense-in-depth ML systems to secure Reddit's GenAI traffic, detecting risks like prompt injection, jailbreaks, and data exfiltration.
Role type
Senior IC machine learning engineer (GenAI security)
Builds
Production ML models (guardrails, semantic classifiers, anomaly detection) and MLOps workflows for Reddit's internal agents and user-facing systems.
Domain
Internet / Generative AI Security
Deliverable
production ML models
Required skills
Deep learning architectures (transformers, sequence models), full ML lifecycle ownership, adversarial evaluation design, MLOps pipeline construction, Python/Go software engineering, large-scale data pipeline management
Preferred skills
Adversarial ML and GenAI security experience, neural text model fine-tuning for long-context/code inputs, production MLOps tools (Airflow, Ray, MLflow, Triton, ONNX, Kubernetes), active learning and synthetic data generation
Technologies
PyTorch, TensorFlow, Python, Go, Airflow, Ray, MLflow, Triton, ONNX, Kubernetes
Responsibilities
Build and improve security-focused ML models for GenAI traffic; own model development end-to-end from problem definition to retraining; design rigorous evaluation suites for adversarial examples and production traffic; improve model precision, recall, latency, and operational reliability; build repeatable MLOps workflows; partner with cross-functional teams to integrate security models; provide technical direction to other engineers
Seniority
Senior, hands-on IC