AI-Driven Search Ads Engineer for Next-Gen Advertising

AI Chopping Block, Inc.; Zürich; Vor Ort; CHF 180.000 - 240.000; Vollzeit

Zusammenfassung

Google Zurich is seeking software engineers to advance next-generation advertising and AI-powered services. You will own projects end-to-end, train and deploy models, and monitor production systems at scale, helping billions of users connect with information.

Ideal candidates have a strong background in C++ and Python, ML infrastructure, and a track record in deep learning or related ML fields, with a bias toward practical, high-impact solutions.

Qualifikationen

• Bachelor’s degree or equivalent practical experience.
• 5 years of experience with software development in C++ and Python.
• 3 years of experience with deep learning, reinforcement learning, generative AI, or another ML field.
• 3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging).
• 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.

Aufgaben

• Own projects end-to-end from initial idea to design, analysis, and implementation.
• Perform model training, evaluation, and deployment to solve business-critical problems.
• Understand production systems, visualize, monitor, and optimize performance.
• Stay up-to-date with the latest tools and research in the field, collaborating with Google Research and DeepMind.

Kenntnisse

C++

Python

Deep learning

Reinforcement learning

ML infrastructure

Software testing

Architecture design

Ausbildung

Bachelor’s degree or equivalent practical experience

Jobbeschreibung

Google Zurich is seeking software engineers to advance next-generation advertising and AI-powered services. You will own projects end-to-end, train and deploy models, and monitor production systems at scale, helping billions of users connect with information.

Ideal candidates have a strong background in C++ and Python, ML infrastructure, and a track record in deep learning or related ML fields, with a bias toward practical, high-impact solutions.