AI & Data Protection Software Engineer

Google

Kirkland (WA)

On-site

USD 207,000 - 300,000

Full time

2 days ago
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Benefits offered by this job

Health insurance
401(k) with company match
PTO 20 days/year
Sick time 40 h/yr
Maternity leave 28-30 weeks
Baby bonding leave 18 weeks
Holidays 13 days

Job summary

Google's AI and Data Protection team builds high-throughput classification and redaction services powering Cloud SDP, Gmail, Drive DLP, and more. As a Software Engineer, you’ll enhance classification models, improve AI security and content analysis engines, and deliver end-to-end data-protection solutions for Google and Cloud customers.

You’ll provide technical guidance to engineers and collaborate with partner teams.

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.

Responsibilities

  • 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/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.

Skills

8 years software development
5 years ML design & infra
Distributed processing

Education

Bachelor’s degree or equivalent practical experience
Master’s degree or PhD (preferred)

Job description

Google's AI and Data Protection team builds high-throughput classification and redaction services powering Cloud SDP, Gmail, Drive DLP, and more. As a Software Engineer, you’ll enhance classification models, improve AI security and content analysis engines, and deliver end-to-end data-protection solutions for Google and Cloud customers.

You’ll provide technical guidance to engineers and collaborate with partner teams.

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