Google

Machine Learning Engineer, AI/ML Expert for Agents and TrustGraph, Google Ads

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16 hours ago
Mountain View, CA, USAMid Level
H1B sponsor

Base Salary

$147k - $210k/yr

Responsibilities

  • Contribute to existing documentation and educational content, adapting it based on product or program updates and user feedback.
  • Implement Generative AI solutions, use machine learning infrastructure, and contribute to data preparation, optimization, and performance improvements.
  • Build autonomous red-teaming and adversarial simulation frameworks to probe web and app crawling infrastructure and address cloaking and evasion blind spots.
  • Design high-throughput graph pipelines, entity-resolution and expansion algorithms, semantic layers, and LLM-powered graph reasoning tools.
  • Write product or system development code across Generative AI, distributed graph systems, and adversarial security and anti-abuse projects.

Requirements

  • Bachelor’s degree or equivalent practical experience.
  • At least 2 years of software development experience in Python or other programming languages, or 1 year with an advanced degree.
  • At least 2 years of experience with distributed systems.
  • At least 1 year of end-to-end machine learning experience, including model deployment, model evaluation, data processing, or debugging.
  • Experience with Generative AI techniques such as LLMs, multimodal systems, or large vision models, or with related concepts such as language modeling or computer vision.
  • Preferred: Master’s degree or PhD in Computer Science or a related technical field.
  • Preferred: experience with data structures and algorithms, accessible technologies, large-scale datasets, graph systems, web or app infrastructure, or Generative AI and LLM-based systems.
  • Preferred: experience building LLM agents, multi-agent orchestration frameworks, automated red-teaming or adversarial simulation systems, or automated evaluation pipelines.
  • Preferred: experience with large-scale graph databases or algorithms, including Spanner, entity resolution, clustering, or graph mining, or with web/app crawling and anti-cloaking technologies.

Benefits

  • Equity and benefits are provided in addition to base salary and a bonus target.

Tech Stack

Categories

Google

About Google

10,000+ employees

Google builds consumer and enterprise software and services including Search, Android, YouTube, Chrome, Maps, Gmail, and Google Cloud. Its business model centers on digital advertising and paid cloud, software, and hardware offerings (e.g., Pixel and Nest) for consumers, developers, and organizations. Founded in 1998 and headquartered in Mountain View, California, Google operates globally as a subsidiary of Alphabet Inc.

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