Google logo

Software Engineer III, AI/ML, YouTube

Google
Full-time
On-site
Zürich, ZH

JobsCloseBy Editorial Insights

Google’s YouTube team is hiring a Software Engineer III, AI/ML for Zurich onsite to advance content identification at scale. The role blends ML research and production, focusing on improving accuracy and efficiency of identification algorithms, and developing vector search while applying audio and video processing for feature extraction and matching. Minimum qualifications include a bachelor’s degree, 2 years of software development or 1 year with an advanced degree, plus 1 year in ML areas and ML infrastructure. Preferred qualifications include a Master or PhD and Python experience with TensorFlow, JAX, or PyTorch. To apply, spotlight concrete ML projects with deployment impact, collaboration with researchers, and measurable outcomes, and tailor your resume to show end-to-end system work, data processing, and leadership.

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 in Python, including in ML Framework like TensorFlowm JAX, or PyTorch, and data pre-processing frameworks (C++, Mediapipe, Beam, SQL).
  • Experience applying machine learning techniques to enhance system quality, including algorithm development, data generation, model training, and performance evaluation.

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

  • Contribute your machine learning expertise to improve the accuracy and efficiency of content identification algorithms. Collaborate with researchers.
  • Help addressing emerging challenges in content identification by researching and implementing innovative solutions. Contribute to the evolution of our systems and drive advancements in vector search technology, from combating deepfakes to supporting new content formats (Shorts, 3D, VR).
  • Apply your understanding of audio and video content processing to enhance feature extraction, classification, and matching capabilities.
  • Launch new products and enhance the performance, reliability, and scalability of the match system.
  • Identify and resolve problems within the Match System's large-scale data processing engines.
Contribute your machine learning expertise to improve the accuracy and efficiency of content identification algorithms. Collaborate with researchers.