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Open nowFirst seen 44 minutes ago

Software Engineer III, AI/ML Recommendations, Rankings, Predictions

Google3,070 open roles

Where
Mountain View, CA, USA
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Your applicationOpen nowSoftware Engineer III, AI/ML Recommendations, Rankings, PredictionsGoogle · Mountain View, CA, USA

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Google's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

13.8% of postings close within 7 days. Measured by our own scanner across the market. Google postings stay open a median of 30 days.

Share of postings closed within
  1. 2.2%1 day
  2. 4.7%3 days
  3. 13.8%7 days
  4. 22.3%14 days
  5. 37.8%30 days
  6. 59.0%60 days
This job: first seen 44 minutes ago

Google median: 30 days open

The posting

In most instances, this position requires in-person interviews as part of the hiring process.

Minimum qualifications:

  • Bachelor’s degree or equivalent practical experience.
  • 2 years of experience with software development in one or more programming languages.
  • 1 year of experience building and deploying recommendation systems models (retrieval, prediction, ranking, personalization, search quality, embedding) in production.
  • 1 year of experience with end-to-end Machine Learning (e.g., model deployment, model evaluation, data processing, debugging).
  • Experience applying machine learning techniques to ranking performance and information retrieval systems.
  • Experience integrating generative AI tools or LLM interfaces into workflows.

Preferred qualifications:

  • Master's degree or PhD in Computer Science or related technical fields.
  • 2 years of experience with data structures and algorithms.
  • Experience in natural language processing.
  • Experience developing accessible technologies.

About the job

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

Looking beyond traditional informational and visual satisfaction, the Image Search Quality team drives new topline metrics around inspiration and freshness. We have a deep history of ML-driven innovation with multiple deep models in production, and over the last two years, we have built the foundation for a scalable, servable AI path. Our work spans close collaborations with cross-functional partners and teams across Search, Research, and more.

In this role, you will be a core member developing the next generation Image Search Quality stack.

Join Google Search AI and work at the intersection of industry leading global scale. We apply breakthrough research, leveraging models like Gemini, to launch high-impact products that help billions ask any question and get things done. If you want to drive the future of AI in Search and work with world-class experts to deliver tangible, global impact and continuous innovation, this is the place.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $147000 - $210000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

  • Design and implement AI-centric workflows to fulfill quality objectives.
  • Develop the next generation Image Search Quality stack as a core team member.
  • Analyze search queries, identify failure cases, propose new ideas, and validate those through experiment iterations.
  • Improve AutoRaters and evaluation metrics to guide offline quality development.
  • Adopt and contribute to the recursive self improvement agent within the development process.
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