Software Engineer III, Search Data and ML Platform

Google

Mountain View (CA)

On-site

USD 147,000 - 210,000

Full time

3 days ago
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Benefits offered by this job

Equity
Benefits

Job summary

Google, Mountain View, is seeking software engineers to advance ML-driven recommendations and scalable systems for billions of users. You will work on end-to-end projects spanning ideation, design, deployment, and maintenance, enabling powerful discovery feed experiences.

The role emphasizes learning state-of-the-art ML techniques, integrating GenAI tools, and collaborating across teams in a fast-paced environment. Achieve impact with equity and comprehensive benefits at Google.

Qualifications

  • Bachelor's degree or equivalent practical experience.
  • 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
  • 2 years of experience with distributed systems architecture, scalability, reliability and performance optimization.
  • 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
  • 1 year of experience integrating generative AI tools or LLM interfaces into workflows.
  • 1 year of experience developing, fine-tuning, or deploying Large Language Models (LLMs) in production environments.

Responsibilities

  • Advance the platform to enable further Machine Learning (ML) use-cases for discover feed recommendations.
  • Design, implement, deploy, and maintain projects by collaborating with peer team members in ranking and retrieval to understand technical needs and system limitations.
  • Take end-to-end project ownership, encompassing ideation, implementation, analysis, and maintenance.
  • Learn and apply state-of-the‑art techniques to transform the product and improve ML serving.
  • Utilize AI tools and technologies, and be prepared to discuss your AI fluency and knowledge during the hiring process.

Skills

Software development
Distributed systems
ML infrastructure
GenAI tools
LLMs in prod
C++
System design
Streaming data analysis
ML research
Recommender systems
Ownership

Education

Bachelor's degree or equivalent
Master's or PhD

Tools

C++

Job description

Minimum qualifications:
  • Bachelor’s degree or equivalent practical experience.
  • 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
  • 2 years of experience with distributed systems architecture, scalability, reliability and performance optimization.
  • 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
  • 1 year of experience integrating generative AI tools or LLM interfaces into workflows.
  • 1 year of experience developing, fine-tuning, or deploying Large Language Models (LLMs) in production environments.
Preferred qualifications:
  • Master's degree or PhD in Computer Science or related technical fields.
  • Experience in system design for large-scale distributed systems using programming language C++.
  • Experience in data analysis of high-throughput streaming data and integrating real-time insights into systems.
  • Research experience in Machine Learning, Artificial Intelligence, or a related technical field (e.g., campus lab experience, research internships, or co-authored papers).
  • Strong understanding of ML systems, genAI technology, and Recommender Systems.
  • High velocity to iterate, strong ownership to land projects end-to-end and comfortable collaborating and supporting multiple client teams.
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.

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
  • Advance the platform to enable further Machine Learning (ML) use-cases for discover feed recommendations.
  • Design, implement, deploy, and maintain projects by collaborating with peer team members in ranking and retrieval to understand technical needs and system limitations.
  • Take end-to-end project ownership, encompassing ideation, implementation, analysis, and maintenance.
  • Learn and apply state-of-the‑art techniques to transform the product and improve ML serving.
  • Utilize AI tools and technologies, and be prepared to discuss your AI fluency and knowledge during the hiring process.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google’s EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

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