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Job Description

  • Design and build scalable ML infrastructure for Ember’s 0-to-1 ranking and feed blending platform.
  • Apply advanced ML and multi-objective optimization techniques to curate a hyper-personalized, inspiring visual feed for global users.
  • Lead the technical execution of novel, GenAI-driven user experiences from ideation to production rollout.
  • Drive the end-to-end machine learning life-cycle, data gathering, model training, offline/online evaluation, and deployment at a massive scale.
  • Collaborate with Product Managers, UX, and cross-functional engineering teams to define technical paths to launch and deliver on the product roadmap.

Minimum qualifications:

  • Bachelor’s degree or equivalent practical experience.
  • 2 years of experience with software development in Python and C++ programming languages, or 1 year of experience with an advanced degree.
  • 1 year of experience with Machine Learning, specifically reinforcement learning (e.g., sequential decision making).
  • 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging).

Preferred qualifications:

  • Master's degree or PhD in Computer Science or related technical fields.
  • 2 years of experience with data structures and algorithms.
  • Experience with personalization, recommender systems, or multimodal machine learning.
  • Experience developing accessible technologies.
  • Strong problem-solving, collaboration, and communication skills.
  • Bachelor’s degree or equivalent practical experience.
  • 2 years of experience with software development in Python and C++ programming languages, or 1 year of experience with an advanced degree.
  • 1 year of experience with Machine Learning, specifically reinforcement learning (e.g., sequential decision making).
  • 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging).
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  • Role Software Engineer III, AI/ML, Image Recommendation Modeling
  • Experience 3-4 years
  • Education Any
  • 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
Eligibility
United States Right to work in the United States required.
Workplace
On-site
Job Posted:
1 week ago
Job Type
Full Time
Education
Any
Experience
3-4 years

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