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

Job Description

Lead the design and development of production machine learning models and data pipelines for intelligent cloud identity and access management, including risk scoring, anomaly detection, and least-privilege recommendations. Build explainable and calibrated models, establish evaluation and monitoring systems, collaborate with security engineers, and optimize models for reliable, low-latency serving.

Requirements: Requires a bachelor’s degree or equivalent practical experience, at least eight years of software development experience, and substantial experience in machine learning, software design, testing, and end-to-end ML delivery. 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, Software Development, Technical Leadership, ML Infrastructure, Model Training, Model Evaluation, Data Pipelines, Dataset Curation, Feature Engineering, Synthetic Data Generation, Information Retrieval, Risk Modeling, Anomaly Detection, Python, PyTorch, JAX

Benefits: Bonus, Equity, Benefits