Senior AI/ML Software Engineer - Cloud & Gen AI

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

Benefits offered by this job

Equity

Bonus target

Benefits

Job summary

Google Warsaw seeks a Software Engineer to drive progress in AI platform development and ML infrastructure. You will collaborate with researchers, engineers, and product managers across Cloud AI and Google Research to deliver scalable ML solutions that integrate with next-generation large language models.

Based in Poland, you will contribute to enterprise AI safety, data residency, and system integration with existing tools while advancing Google's product excellence and overall cloud AI

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

• Design and implement the AI Developer Tools Platform and related services under the Gemini Enterprise umbrella, collaborating with teams across Cloud AI and beyond.
• Manage project priorities, deadlines, and deliverables while applying AI techniques to increase productivity.
• Collaborate with researchers, engineers, and product managers from Google Cloud AI and Google Research to develop ML solutions that balance performance and deployment constraints.

Skills

Problem solving

Mentoring

Leadership

Go

Education

Bachelor’s degree or equivalent practical experience

Tools

Go

ML infrastructure

Job description

Google Warsaw seeks a Software Engineer to drive progress in AI platform development and ML infrastructure. You will collaborate with researchers, engineers, and product managers across Cloud AI and Google Research to deliver scalable ML solutions that integrate with next-generation large language models.

Based in Poland, you will contribute to enterprise AI safety, data residency, and system integration with existing tools while advancing Google's product excellence and overall cloud AI