Cloud AI Engineer III - Generative ML Platform

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

Benefits offered by this job

Equity

Bonus target

Benefits

Job summary

Google's software engineers in Poland develop the next-generation technologies that change how billions of users connect, explore, and interact with information. You will work on AI developer tools with the Gemini Enterprise umbrella, collaborating across Cloud AI and Google Research to deploy ML solutions at scale.

As a Software Engineer, you will contribute to Generative AI solutions for Cloud customers, partnering with researchers, engineers and PMs to balance performance with deployment

Qualifications

• Bachelor's degree or equivalent practical experience.
• 2 years of experience with software development in one or more programming languages (e.g., Go), or 1 year of experience with an advanced degree.
• 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).

Responsibilities

• Learn more about benefits at Google .
• Design and implement the AI Developer Tools Platform and related services under the Gemini Enterprise umbrella, collaborating closely with other teams and functions across Cloud AI and beyond.
• Manage individual project priorities, deadlines, and deliverables, applying innovative AI techniques to increase productivity.

Skills

Go

ML infrastructure

Cloud computing

Education

Bachelor's degree or equivalent practical experience

Tools

Google Cloud Platform

Job description

Google's software engineers in Poland develop the next-generation technologies that change how billions of users connect, explore, and interact with information. You will work on AI developer tools with the Gemini Enterprise umbrella, collaborating across Cloud AI and Google Research to deploy ML solutions at scale.

As a Software Engineer, you will contribute to Generative AI solutions for Cloud customers, partnering with researchers, engineers and PMs to balance performance with deployment