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AI Job Summary

Build server code in C++, Java, or Go for content analysis systems at scale, focusing on AI security risk detection and sensitive data classification. You'll develop and productionize ML/NLP models for token tagging and payload classification, create data pipelines and training datasets, and partner with research teams. Requires a bachelor's degree, 8 years of software development experience, 5 years with ML design and infrastructure, and experience with distributed and large-scale data processing.

Written from this posting by Neural Jobs AI. The full description is below.

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Job Description

  • Develop server code in C++, Java or Go for content analysis with high availability at scale.
  • Develop novel algorithms for detecting AI security risks, classifying structured and unstructured sensitive information.
  • Train, evaluate, and productionize ML/Natural Language Processing (NLP) models for token tagging and payload classification tasks.
  • Develop data mining pipelines, synthetic data generation pipelines, and build datasets for training and evaluation.
  • Partner with research groups on developing innovative ML/NLP solutions.

Minimum qualifications:

  • Bachelor’s degree or equivalent practical experience.
  • 8 years of experience in software development.
  • 5 years of experience with ML design and ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
  • Experience with distributed processing and large-scale data processing.

Preferred qualifications:

  • Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
  • 8 years of experience with data structures and algorithms.
  • 3 years of experience in a technical leadership role leading project teams and setting technical direction.
  • 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.
  • Bachelor’s degree or equivalent practical experience.
  • 8 years of experience in software development.
  • 5 years of experience with ML design and ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
  • Experience with distributed processing and large-scale data processing.
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  • Role Software Engineer, AI and Data Protection
  • Experience 3-4 years
  • Education Bachelor Degree, or equivalent experience
  • Work type On-site
  • Location United States
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Google
AI Research Lab · 500+ Members · Mountain View, CA, United States

Google builds internet, software, cloud, and AI products used by consumers, developers, and organizations. Its portfolio includes Search, YouTube, Android, Chrome, Maps, Gmail, Workspace, Google Cloud, advertising platforms, devices, and Gemini AI products. The company develops large-scale computing infrastructure and research that power information retrieval, communication, productivity, media, navigation, and machine learning. Google is the largest operating business within Alphabet and earns a substantial share of its revenue from digital advertising.

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Job Overview

Approx. salary range

152K – 310K

Our estimate — this employer did not publish a salary

Our estimate, not the employer’s. Worked out from the middle half of 275 comparable roles on Neural Jobs that did publish a salary, in the same field, country and experience band. The real figure for this job may be different.

Eligibility
United States Right to work in the United States required.
Workplace
On-site
Job Posted:
4 days ago
Job Type
Full Time
Education
Bachelor Degree, or equivalent experience
Experience
3-4 years

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