10 hours ago
Base Salary
$207k - $300k/yr
Responsibilities
- Develop high-availability, large-scale server code in C++, Java, or Go for content analysis.
- Create algorithms for detecting AI security risks and classifying structured and unstructured sensitive information.
- Train, evaluate, and productionize ML/NLP models for token tagging and payload classification.
- Build data mining pipelines, synthetic data generation pipelines, and datasets for training and evaluation.
- Partner with research groups and provide technical guidance while collaborating with cross-functional teams and customers.
Requirements
- Bachelor’s degree or equivalent practical experience.
- Eight years of software development experience.
- Five years of experience with ML design and ML infrastructure, including model deployment, model evaluation, data processing, debugging, or fine-tuning.
- Experience with distributed processing and large-scale data processing.
- Preferred: master’s degree or PhD in Engineering, Computer Science, or a related technical field.
- Preferred: eight years of experience with data structures and algorithms.
- Preferred: three years in a technical leadership role leading project teams and setting technical direction.
- Preferred: three years working in a complex, matrixed organization involving cross-functional or cross-business projects.
Benefits
- US base pay is $207000-$300000, plus a 20% bonus target, equity, and benefits.
- Google provides additional benefits information through its benefits program.
Categories
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.