senior Machine Learning Engineer ic 5+ yrs Bachelor's · Posted Apr 28, 2026

About this role

Google is hiring a senior-level Machine Learning Engineer based in Warsaw, Poland. The posting calls out experience with GCP, LLMs, Computer Vision, API Development 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
Warsaw, Poland
Experience
5+ years
Education
Bachelor's degree
Posted
Apr 28, 2026
AI Summary
Design and build ML pipelines, evaluate and optimize models and agentic workflows, and lead generative AI solutions. Provide technical leadership on high-impact projects while managing priorities and coaching distributed engineering teams. Requires 5+ years ML engineering in production, 5+ years software development, and 3+ years leading technical strategy.

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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.

In this role, you will work on bringing AI to Google Cloud customers and developers around the globe. You will build the next generation of AI-powered systems and applications across the full stack of AI from models and APIs, through engineering and agents building blocks, to specialized models and applications.

This is an excerpt. Read the full job description on Google careers →
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