G

Google

Runs Search and YouTube and builds Gemini AI

Staff Software Engineer - ML, Search Ads Creatives

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeMountain View, CA, USAIn-person

About the Job

Requirements

  • A bachelor's degree or equivalent practical experience.
  • At least 8 years of software development experience in one or more programming languages, data structures, and algorithms.
  • At least 8 years of experience with machine learning or artificial intelligence algorithms, tools, deep learning, or other machine learning or artificial intelligence modeling.
  • At least 8 years of experience testing, maintaining, or launching software products, and at least 5 years of experience with software design and architecture.
  • At least 7 years of experience leading technical project strategy, machine learning design, and optimizing machine learning infrastructure, including model deployment, evaluation, data processing, debugging, and fine-tuning.
  • At least 2 years of experience with generative artificial intelligence techniques, such as large language models, multimodal models, or vision models, or generative artificial intelligence-related concepts such as language modeling or computer vision.

Responsibilities

  • Drive product adoption and develop the quality, extraction, data models, and data-driven execution needed to find or build effective solutions.
  • Build scalable end-to-end infrastructure that meets tight latency and freshness constraints.
  • Collaborate with organizational partners, technology teams such as prediction, auction, and data flow, and key stakeholders to identify solutions; set the technical roadmap, goals, and cross-team Objectives and Key Results.
  • Refine user and advertiser experiences to meet their needs.
  • Design, develop, test, deploy, maintain, and enhance software solutions.
  • Compose ads that meet user and advertiser needs, using generative artificial intelligence to automate the generation and composition of high-quality assets and monetize new AI surfaces.
  • Apply machine learning and generative artificial intelligence models to support Google Ads.
  • Protect users from harm, improve ad quality, and optimize campaigns for advertiser return on investment.

Desired Qualifications

  • PhD in Computer Science or Statistics.
  • Experience with generative artificial intelligence model fine-tuning, building large language models, or exploring product enablement.
  • Experience successfully applying generative artificial intelligence and machine learning approaches to real-world content problems.
  • Knowledge of statistical methods and strong mathematical skills.
  • Familiarity with Search and Ads infrastructure, auction mechanics, or generative artificial intelligence models.
  • Programming skills using generative artificial intelligence tools.

About the Company

Google

Runs Search and YouTube and builds Gemini AI

Google runs the world's most used search engine and free services such as YouTube, Android, and Gmail, and it builds the Gemini AI models that work inside them. In 2017, its researchers invented the transformer, the neural network design behind ChatGPT and most other AI chatbots. People use these services without paying, and Google earns most of its money from ads placed beside search results and YouTube videos. Businesses rent computing power and Gemini models through Google Cloud, and Google also sells subscriptions and Pixel phones. Larry Page and Sergey Brin founded Google in 1998 as Stanford PhD students; it is based in Mountain View, California, United States, and is the main business of parent company Alphabet.

Company size
10,001+
Company stage
IPO
Headquarters
Mountain View, CA
Founded
1998

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