1 day ago
Base Salary
$207k - $300k/yr
Responsibilities
- Design and scale training-data pipelines using access telemetry, policy graphs, and synthetic data with rigorous denoising.
- Train and optimize ML models for intelligent IAM, access-risk scoring, anomaly detection, and least-privilege recommendations.
- Build explainability and calibration layers that provide reasoning for risk scores and route uncertain cases to human review or static rules.
- Partner with security engineers to identify IAM edge cases and model subtle privilege boundaries safely.
- Establish evaluation benchmarks and online monitoring to prevent model drift.
- Optimize models for low-latency Google Cloud serving.
Requirements
- Bachelor’s degree or equivalent practical experience.
- At least 8 years of software development experience.
- At least 5 years of experience testing and launching software products and 3 years of experience with software design and architecture.
- At least 5 years of experience in speech/audio, reinforcement learning, ML infrastructure, or another ML specialization.
- At least 5 years of experience leading ML design and optimizing end-to-end machine learning, including deployment, evaluation, data processing, debugging, and fine-tuning.
- Preferred: Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
- Preferred: 8 years of experience with data structures and algorithms.
- Preferred: 3 years of experience in a technical leadership role leading project teams and setting technical direction.
- Preferred: 8 years of experience training, fine-tuning, and evaluating machine-learning and deep-learning models in Python.
- Preferred: Experience with dataset curation, feature engineering, synthetic data generation, and reproducible ML training and evaluation pipelines at scale.
- Preferred: Experience developing ranking, retrieval, classification, or risk/anomaly-scoring models for production systems.
Tech Stack
Categories
Data EngineeringML Engineering
About Google
Google builds consumer and enterprise software and services including Search, Android, YouTube, Chrome, Maps, Gmail, and Google Cloud. Its business model centers on digital advertising and paid cloud, software, and hardware offerings (e.g., Pixel and Nest) for consumers, developers, and organizations. Founded in 1998 and headquartered in Mountain View, California, Google operates globally as a subsidiary of Alphabet Inc.