Senior Software Engineer, AI/ML, Search Modalities

1 Day ago • 5-8 Years • Artificial Intelligence • $166,000 PA - $244,000 PA

Job Summary

Job Description

This Senior Software Engineer role at Google focuses on AI/ML within Search Modalities. Responsibilities include writing and testing code, collaborating on design and code reviews, contributing to documentation, debugging system issues, and designing/implementing machine learning solutions. The ideal candidate possesses 5+ years of software development experience (C++ and Python), 3+ years in areas like ranking or reinforcement learning, and 3+ years of experience with machine learning infrastructure. The role requires expertise in model deployment, evaluation, optimization, and data processing. The position involves working on critical projects impacting billions of users globally, contributing to the evolution of Google Search.
Must have:
  • 5+ years software dev (C++, Python)
  • 3+ years in ranking/RL/ML infrastructure
  • 3+ years testing, maintaining, launching software
  • Machine learning expertise (model deployment, evaluation)
  • Software design and architecture experience
Good to have:
  • Master's/PhD in CS
  • Technical leadership experience
  • Experience in ranking, information retrieval, data mining
  • Search Infrastructure & Quality experience
  • Experience with accessible technologies
  • Experience with data processing pipelines (e.g., Flume, Borg)

Job Details

Minimum qualifications:

  • Bachelor’s degree or equivalent practical experience.
  • 5 years of experience with software development in C++ and Python, and with data structures/algorithms.
  • 3 years of experience with one or more of the following: ranking, reinforcement learning (e.g., sequential decision making), machine learning infrastructure, or specialization in another machine learning field.
  • 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
  • 3 years of experience with machine learning infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).

Preferred qualifications:

  • Master's degree or PhD in Computer Science or related technical field.
  • 1 year of experience in a technical leadership role.
  • Experience in ranking, information retrieval, data mining and building and analyzing machine learning models.
  • Experience with Search Infrastructure and Search Quality.
  • Experience developing accessible technologies.
  • Experience with data processing pipelines (e.g., flume, borg).

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. In Google Search, we're reimagining what it means to search for information – any way and anywhere. To do that, we need to solve complex engineering challenges and expand our infrastructure, while maintaining a universally accessible and useful experience that people around the world rely on. In joining the Search team, you'll have an opportunity to make an impact on billions of people globally.

The US base salary range for this full-time position is $166,000-$244,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about .

Responsibilities

  • Write and test product or system development code.
  • Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
  • Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
  • Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
  • Design and implement solutions in one or more specialized machine learning areas, leverage machine learning infrastructure, and demonstrate expertise in a chosen field.

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