senior Machine Learning Engineer ic 5+ yrs Bachelor's · Posted Jul 1, 2026

About this role

Google is hiring a senior-level Machine Learning Engineer based in Zürich, Switzerland. The posting calls out experience with Python, Deep Learning, Machine Learning, NLP and roughly 5+ years of relevant work. Listed education preference: a bachelor's degree or equivalent.

Role
Machine Learning Engineer
Function
machine learning
Level
senior
Track
Individual contributor
Employment
Full-time
Location
Zürich, Switzerland
Experience
5+ years
Education
Bachelor's degree
Posted
Jul 1, 2026
AI Summary
Build production-ready machine learning models and pipelines for Google's XR and AI products. Design, develop, and deploy software solutions handling massive scale. Requires 5+ years Python programming and a bachelor's degree in Computer Science or equivalent.

Job description

from Google careers

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.

With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.

For decades, the computing revolution has reshaped our world driven by breakthroughs in compute, connectivity, mobile, and now, AI. Google's XR team is at the forefront of the next major leap – the convergence of AI and XR. This is more than just new devices – it's about reimagining how we interact with the world around us. In this role, you will be building a future where lightweight XR devices pair with helpful AI to augment human intelligence, offering personalized, conversational, and contextually aware experiences.

For decades, the computing revolution has reshaped our world driven by
breakthroughs in compute, connectivity, mobile, and now, AI. Google's XR team is at the forefront of the next major leap – the convergence of AI and XR. This is more than just new devices – it's about reimagining how we interact with the world around us. We're building a future where
lightweight XR devices like smart glasses and headsets pair with helpful AI to augment human intelligence, offering personalized, conversational, and contextually aware experiences.

Responsibilities

  • Research and develop algorithms and models for tracking and synthesizing facial motion from multimodal inputs.
  • Work with data collection and synthesis teams to gather high-quality training data.
  • Optimize models and algorithms to run on low-power XR devices in real time.
  • Propose KPIs and metrics, and incorporate user feedback into the algorithm and model design.
  • Be able to work alongside other software engineers and research scientists to deliver production-ready models and pipelines.

Minimum qualifications:

  • Bachelor's degree in Computer Science, a similar technical field of study, or equivalent practical experience.
  • 5 years of experience programming in Python.

Preferred qualifications:

  • Master's degree or PhD in Computer Science, Applied Math, or a related field with a focus on machine learning.
  • Experience with deep learning frameworks (e.g., JAX) and edge frameworks (e.g. LiteRT).
  • Experience with polygonal mesh representations and skeletal animation pipelines.
  • Proficiency with Python/C++ .

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