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Job Description

  • Lead the end-to-end development of novel machine learning models, incorporating techniques like deep learning, reinforcement learning, and generative artificial intelligence, from concept to production.
  • Build and scale end-to-end machine earning pipelines for model training, inference, and integration with high-throughput Ad serving systems.
  • Explore, implement, and integrate with generative models for text, image, and video adaptations within Ads.
  • Apply deep learning and reinforcement learning to understand asset value and optimize creative composition while developing metrics and algorithms to ensure creative freshness and efficient exploration.
  • Contribute to the architecture of centralized services for unifying asset attributes and model-driven insights across different applications, collaborating with infrastructure and serving teams to power creative optimization.

Minimum qualifications:

  • Bachelor's degree or equivalent practical experience.
  • 8 years of experience in software development.
  • 5 years of experience testing and launching software products, and 3 years of experience with software design and architecture.

Preferred qualifications:

  • Master's degree or PhD in Computer Science, Machine Learning, or a related technical field.
  • 8 years of experience in data structures and algorithms.
  • 5 years of experience building and productionizing machine learning models, with experience in deep learning or reinforcement learning.
  • Experience with machine learning frameworks like TensorFlow and JAX, production machine learning platforms such as TensorFlow Extended and AdBrain, and generative models and their applications.
  • Proficiency in designing, running, and analyzing large-scale online experiments (A/B tests).
  • Familiarity with online advertising systems, creative optimization, personalization, or recommender systems.
  • Bachelor's degree or equivalent practical experience.
  • 8 years of experience in software development.
  • 5 years of experience testing and launching software products, and 3 years of experience with software design and architecture.
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  • Role Staff Software Engineer, AI/ML, YouTube Ads
  • Experience 8-9 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.

All jobs at Google

213 more Software Engineer roles in Mountain View

Job Overview

Approx. salary range

209K – 246K

Our estimate — this employer did not publish a salary

Our estimate, not the employer’s. Worked out from the middle half of 175 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:
1 day ago
Job Type
Full Time
Education
Bachelor Degree, or equivalent experience
Experience
8-9 years

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