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AI Job Summary

Develop and deploy machine learning models for creative optimization, working across deep learning, reinforcement learning, and generative AI from research through production. You'll define technical strategy for ML components, build scalable pipelines, analyze performance metrics, and mentor engineers. Requires a bachelor's degree, five years of software development experience in languages like Python or Java, and three years each launching products and designing systems.

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

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Job Description

  • Lead end-to-end development of novel machine learning models, incorporating techniques like deep learning, reinforcement learning, and generative AI, from concept to production.
  • Define the technical strategy and roadmap for key ML components, ensuring alignment with product goals and driving measurable impact through experimentation.
  • Build and integrate scalable ML pipelines and services, collaborating with infrastructure and serving teams to power creative optimization.
  • Analyze performance metrics, deriving insights, and implementing algorithmic improvements for creative selection, freshness, and exploration.
  • Mentor engineers and promote best practices in applied machine learning and system design.

Minimum qualifications:

  • Bachelor’s degree or equivalent practical experience.
  • 5 years of experience with software development using one or more general-purpose programming languages (e.g., Python, Java, C++, Go).
  • 3 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 or related technical field.
  • Experience with ML frameworks (e.g., TensorFlow, JAX) and production ML platforms (e.g., TFX, AdBrain).
  • Experience with large-scale data processing and distributed systems, and with data structures and algorithms.
  • Experience with generative models and their applications.
  • Experience working with and mentoring junior engineers.
  • Familiarity with online advertising systems, creative optimization, personalization, or recommender systems.
  • Bachelor’s degree or equivalent practical experience.
  • 5 years of experience with software development using one or more general-purpose programming languages (e.g., Python, Java, C++, Go).
  • 3 years of experience testing and launching software products, and 3 years of experience with software design and architecture.
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  • Role Senior Software Engineer, AI/ML, Creative Intelligence
  • Experience 5-7 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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208 more Software Engineer roles in Mountain View

Job Overview

Approx. salary range

177K – 228K

Our estimate — this employer did not publish a salary

Our estimate, not the employer’s. Worked out from the middle half of 215 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 week ago
Job Type
Full Time
Education
Bachelor Degree, or equivalent experience
Experience
5-7 years

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