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Offer summary
(Summary generated by AI based on the full job description)
The project focuses on AI infrastructure within Google Cloud, optimizing ML workload performance across the full technology stack from networking to ML models. Required experience includes ML infrastructure, implementing ML solutions, and troubleshooting systems. Responsibilities include coding, code reviews, documentation, and issue resolution. Salary ranges 280,000 – 287,000 PLN with bonuses and benefits including private healthcare and training budget.
from: 20 July 2026
to: 19 August 2026
23 333 - 23 917 złgross/ mth.contract of employment (full-time)
Salary details
Poland: zł280000 - zł287000 (PLN) + 15% bonus target + equity + benefits
Offer parameters
level:mid
working mode:hybrid
Warszawa, Śródmieście
Requirements
Operating system
Windows
Our requirements
- 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).
Optional
- Master's degree or PhD in Computer Science or related technical fields.
- 2 years of experience with data structures and algorithms.
- Experience developing accessible technologies.
Your responsibilities
- Write product or system development code.
- 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).
- Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
- 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.
- Implement solutions in one or more specialized ML areas, utilize ML infrastructure, and contribute to model optimization and data processing.
About the project
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.
As a software engineer in Cloud ML Compute Services, you will focus on driving advancement in AI infrastructure. The team manages key challenges by optimizing ML workload performance at every layer across the technical stack from networking and data storage to ML models. The team is dedicated to providing AI developers with high-performance experience on Google's AI infrastructure.
Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
Benefits
- sharing the costs of sports activities
- private medical care
- sharing the costs of foreign language classes
- sharing the costs of professional training & courses
- life insurance
- remote work opportunities
- fruits
- corporate products and services at discounted prices
- integration events
- dental care
- corporate gym
- corporate sports team
- retirement pension plan
- saving & investment scheme
- corporate library
- no dress code
- coffee / tea
- drinks
- parking space for employees
- leisure zone
- extra social benefits
- meal passes
- redeployment package
- employee referral program
- opportunity to obtain permits and licenses
- charity initiatives
- extra leave
Software Engineer III, AI/ML
23.3k–23.9k zł / mth. (CoE)
I apply to:
Google
Warszawa, Śródmieście
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