About this role

Google is hiring a senior-level Machine Learning Engineer based in Zürich, Switzerland. The posting calls out experience with Python, Reinforcement Learning, Data Structures, Machine Learning and roughly 1+ years of relevant work. Listed education preference: a master's degree or equivalent.

Role: Machine Learning Engineer
Function: machine learning
Level: senior
Track: Individual contributor
Employment: Full-time
Location: Zürich, Switzerland
Experience: 1+ years
Education: Master's degree
Posted: Jun 15, 2026

AI Summary

Senior Machine Learning Engineer at Google's XR team developing AI-augmented smart glasses and headsets. Write production code, collaborate on design reviews, and contribute to ML infrastructure. Requires 1+ year in speech/audio, reinforcement learning, ML infrastructure, or related ML specialization, plus 1+ year ML infrastructure experience.

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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.
For decades, the computing revolution has reshaped our world driven by <br>breakthroughs in compute, connectivity, mobile, and now, AI. Google's XR <br>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 <br>lightweight XR devices like smart glasses and headsets pair with helpful AI to augment human intelligence, offering personalized, conversational, and contextually aware experiences.
<h3>Responsibilities</h3><ul>
<li>Write product or system development code. </li>
<li>Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).</li>
<li>Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.</li>
<li>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.</li>
<li>Implement solutions in one or more specialized Machine Learning (ML) areas, utilize ML infrastructure, and contribute to model optimization and data processing.</li>
</ul>
<h3>Minimum qualifications:</h3><ul>
<li>Bachelor’s degree or equivalent practical experience.</li>
<li>2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.</li>
<li>2 years of experience developing in C++ or Python.</li>
<li>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.</li>
<li>1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).</li>
</ul><br><h3>Preferred qualifications:</h3><ul>
<li>Master's degree or PhD in Computer Science or a related technical field.</li>
<li>2 years of experience with data structures and algorithms.</li>
<li>Experience developing accessible technologies.</li>
<li>Knowledge of Inertial Measurement Unit (IMU), camera, and magnetometer sensor models and calibration techniques.</li>
</ul>