Software Engineer II, Applied Machine Learning

Google
City of London, England
11 months ago
Applications closed

Related Jobs

View all jobs
Spotlight

Programme Manager (Forward Deployed)

M-1 Intelligence London, United Kingdom
£60,000 – £75,000 pa Remote

Software Engineer II – 12-Month Fixed-Term

Medtronic London, United Kingdom
£58,000 – £87,000 pa Contract

Senior Software Engineer II

Thought Machine Lisbon, Portugal
On-site

iOS Mobile Software Engineer II

Entrust London, United Kingdom
Hybrid

iOS Mobile Software Engineer II

Entrust Portugal
Hybrid

Senior Software Engineer I

Thought Machine London, United Kingdom
On-site

Software Engineer

Faculty AI London, United Kingdom
Hybrid
Posted
20 Oct 2025 (11 months ago)
Software Engineer II, Applied Machine Learning

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 this role, you will be building the platform to integrate GenAI-based technologies into Google Workspace of consumer-facing products. Your mission is to empower developers and researchers with GenAI enablement tools, driving innovation and unlocking the potential of ML across applications. You will play a pivotal role in building a team to ensure the deployment of GenAI across Google is as easy, economical, and as fast as possible.


The AI and Infrastructure team works on the world’s toughest problems, redefining what’s possible and the possible easy. We empower Google customers by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Googler Cloud customers, and billions of Google users worldwide. We’re at the center of amazing work at Google by being the “flywheel” that enables our advanced AI models, delivers computing power across global services, and offers platforms that developers use to build services.


In AI and Infrastructure, we shape the future of hyperscale computing by inventing and creating world-leading future technology, and drive global impact by contributing to Google infrastructure, from software to hardware (including building Vertex AI for Google Cloud). We work on complex technologies at a global scale with key players in the AI and systems space. Join a team of talented individuals who not only work together to keep data centers operating efficiently but also create a legacy of driving innovation by building some of the most complex systems technologies.


Qualification Requirements

  • Bachelor’s degree or equivalent practical experience.
  • 1 year of experience with software development in one or more programming languages (e.g. Python, C, C++, Java, JavaScript).
  • 1 year of experience with data structures or algorithms.
  • 1 year of experience with machine learning algorithms and tools, building production quality Machine Learning (ML) systems and infrastructure.
  • Experience with machine learning, C++ and Python.

Preferred Qualifications

  • Master's degree in Computer Science or a related technical field.
  • Experience with system design, Generative AI Agent.

Responsibilities

  • Write product or system development code.
  • Participate in or lead design reviews with peers and stakeholders to decide amongst available technologies.
  • Review code developed by other developers and provide feedback to ensure best practices (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.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.


#J-18808-Ljbffr

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

What Is an AI Forward Deployed Engineer? The Fastest-Growing Job in AI for 2026

If you have been watching AI job boards over the past year, one title keeps surfacing again and again: the forward deployed engineer, or FDE. It has gone from a niche term known mainly to Palantir alumni to arguably the hottest role in the entire AI hiring market. Job postings for forward deployed engineers have exploded, salaries have climbed past levels most software engineers will ever see, and the biggest names in AI — OpenAI, Anthropic, Google, Salesforce, Databricks and Palantir — are all competing for the same small pool of talent. So what exactly is an AI forward deployed engineer, why has demand surged so dramatically, and how do you position yourself to land one of these roles? This guide breaks it all down for AI engineers, software engineers and data scientists looking at their next move.