Software Engineer III, AI/ML, Vertex Inference On Hybrid Clouds

Google LLC; Warszawa; On-site; PLN 280,000 - 287,000; Full time

Job summary

Google LLC is hiring a Software Engineer III for AI/ML on Vertex Inference on Hybrid Clouds in Warsaw. You will participate in building scalable AI/ML capabilities and infrastructure, with opportunities to work across Google Cloud teams and contribute to cutting-edge research.

The role emphasizes strong software engineering fundamentals, ML deployment expertise, and collaboration with researchers, data scientists, and engineers in a fast-paced environment.

Qualifications

• 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 ML areas: speech/audio, reinforcement learning, ML infrastructure, or related field.
• 1 year of experience with ML infrastructure: model deployment, evaluation, data processing, debugging.

Responsibilities

• Write product or system development code.
• Collaborate through design and code reviews to ensure best practices with available technologies.
• Contribute to documentation and education content; update content with product changes.
• Triage issues and debug to ensure quality across hardware, network, or services.
• Implement solutions in ML areas; utilize ML infrastructure and help optimize models and data processing.

Skills

Software development

ML experience

Model deployment

Education

Bachelor's degree

Job description

Software Engineer III, AI/ML, Vertex Inference On Hybrid Clouds

Share Software Engineer III, AI/ML, Vertex Inference On Hybrid Clouds

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X In most instances, this position requires in-person interviews as part of the hiring process.

• 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).

Preferred qualifications

• Master's degree or PhD in Computer Science or related technical fields.
• 2 years of experience with data structures and algorithms.

About the job

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.

The mission of the Vertex on Hybrid cloud is to introduce cutting-edge AI/ML capabilities (including GenAI, MLOps, etc.) to Google Cloud, and make it super reliable, performant, cost effective, flexible, and simple for Google Cloud customers. This team will be focusing on bringing the best of Google’s machine learning investments, including Large Language Model (LLM) Serving and Tuning and more, along with Cloud and OSS technologies to provide the ML infrastructure, tools and services that powers Google Cloud customers. The platform targets researchers, data scientists, and data engineers across enterprises, startups and solution providers.

The Google Cloud AI Research team addresses AI challenges motivated by Google Cloud’s mission of bringing AI to tech, healthcare, finance, retail and many other industries. We work on a range of unique problems focused on research topics that maximize scientific and real-world impact, aiming to push the state-of-the-art in AI and share findings with the broader research community. We also collaborate with product teams to bring innovations to real-world impact that benefits our customers.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

About the job

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.

The mission of the Vertex on Hybrid cloud is to introduce cutting-edge AI/ML capabilities (including GenAI, MLOps, etc.) to Google Cloud, and make it super reliable, performant, cost effective, flexible, and simple for Google Cloud customers. This team will be focusing on bringing the best of Google’s machine learning investments, including Large Language Model (LLM) Serving and Tuning and more, along with Cloud and OSS technologies to provide the ML infrastructure, tools and services that powers Google Cloud customers. The platform targets researchers, data scientists, and data engineers across enterprises, startups and solution providers.

The Google Cloud AI Research team addresses AI challenges motivated by Google Cloud’s mission of bringing AI to tech, healthcare, finance, retail and many other industries. We work on a range of unique problems focused on research topics that maximize scientific and real-world impact, aiming to push the state-of-the-art in AI and share findings with the broader research community. We also collaborate with product teams to bring innovations to real-world impact that benefits our customers.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

Poland: zł280000 - zł287000 (PLN) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

• 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.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

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