Software Engineer III, AI/ML, YouTube Shopping

SOFTWARE_ENGINEERING
Switzerland
February 13, 2026
FULL_TIME

Job Overview

  • Date Posted
    February 13, 2026
  • Location
    Switzerland
  • Expiration date
    --

Job Description

2026-02-12T14:01:23.740Z

111117098712736454

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.
  • 1 year of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.
  • 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).

Preferred qualifications:

  • Master’s degree or PhD in Computer Science or related technical fields.
  • 2 years of experience with data structures and algorithms.
  • Experience with deep learning tools (e.g., TensorFlow, TuneLab Studio).
  • Experience in the fields of natural language processing, computer vision or multi-modal large language models.
  • Experience building and maintaining scalable data pipelines or evaluation frameworks for machine learning systems.

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.
At YouTube, we believe that everyone deserves to have a voice, and that the world is a better place when we listen, share, and build community through our stories. We work together to give everyone the power to share their story, explore what they love, and connect with one another in the process. Working at the intersection of cutting-edge technology and boundless creativity, we move at the speed of culture with a shared goal to show people the world. We explore new ideas, solve real problems, and have fun — and we do it all together.

Responsibilities

  • Design, implement, and deploy improvements to machine learning models (Product Detection, Video Classification, Timestamp Detection) to enhance accuracy and coverage.
  • Build and maintain scalable pipelines for both training data curation and model evaluation. Ensure our models learn from relevant shopping signals by managing high-quality datasets, while developing robust evaluation frameworks to continuously measure performance and analyze edge cases.
  • Collaborate with cross-functional teams to ensure new model signals are effectively adopted by downstream systems (Recommendation system, Creator team, etc.)
  • Contribute to the back-end infrastructure (orchestration, storage, serving, freshness) to ensure models run efficiently at YouTube scale, directly impacting system latency and cost.
  • Implement solutions in one or more specialized ML areas, utilize ML infrastructure, and contribute to model optimization and data processing.

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.

Related Jobs