Staff Software Engineer, AI/ML, Cloud IAM, Dataset and Model Training

Job Description

Design scalable training data pipelines using access telemetry, policy graphs, and synthetic data, and train optimized models for access-risk scoring, anomaly detection, and least-privilege recommendations. Build explainability, calibration, evaluation, and monitoring systems, partnering with security engineers to ensure safe, reliable, low-latency IAM decisions.

Requirements: Requires a bachelor’s degree or equivalent practical experience, at least 8 years of software development, and substantial experience in software testing, launches, design, architecture, and machine learning. Preferred qualifications include a master’s degree or PhD, technical leadership, extensive Python-based model training and evaluation, and experience building scalable, reproducible ML pipelines and production models.

Key Skills: Software Development, Machine Learning, Machine Learning Infrastructure, Model Training, Model Evaluation, Python, PyTorch, JAX, Scikit-Learn, Dataset Curation, Feature Engineering, Synthetic Data Generation, Data Pipelines, Risk Scoring, Anomaly Detection, Cloud Security

Benefits: Bonus, Equity, Benefits