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

Job Description

Lead the design and development of machine learning models and data pipelines for intelligent cloud IAM, including access-risk scoring, anomaly detection, and least-privilege recommendations. Establish explainability, evaluation benchmarks, and monitoring while partnering with security engineers to deliver calibrated, low-latency models that avoid over-granting access.

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

Key Skills: Machine Learning, Deep Learning, Python, PyTorch, JAX, Scikit-Learn, XGBoost, Data Structures And Algorithms, Dataset Curation, Feature Engineering, Synthetic Data Generation, ML Training And Evaluation Pipelines, Information Retrieval, Risk Modeling, Anomaly Detection, Cloud IAM

Benefits: Equity, Benefits