Senior AI/ML Systems Architect for Scale & Impact

Groupe Talents Handicap; Paris; On-site; EUR 104,000 - 106,000; Full time

Benefits offered by this job

Bonus target

Equity

Benefits

Job summary

Google is hiring software engineers to work on next‑generation technologies at YouTube scale, including AI, ML infrastructure, and distributed systems. You will design, develop, test, deploy, and maintain software across projects critical to Google’s needs, with opportunities to switch teams as you grow.

You will collaborate across teams, manage priorities and deliverables, and contribute to ML research or product impact across Home, Search, and Recommendations.

Qualifications

• Bachelors or equivalent practical experience required.
• 5+ years of software development experience in one or more languages.
• 3+ years testing, maintaining or launching software products; 1 year in design/architecture.
• 3+ years in ML areas: speech/audio, RL, ML infra or related field.
• 3+ years ML infra experience: deployment, evaluation, data processing, debugging.

Responsibilities

• Write and test product or system development code.
• Collaborate through reviews to ensure best practices and quality.
• Contribute to documentation and adapt content with updates.
• Triage issues and debug across hardware, network, or services.
• Design and implement ML solutions and leverage ML infrastructure.

Skills

Software development

Software testing

Software design and architecture

ML infrastructure

Speech/audio ML

Reinforcement learning

ML field specialization

Education

Bachelor’s degree or equivalent

Master’s degree or PhD (preferred)

Job description

Google is hiring software engineers to work on next‑generation technologies at YouTube scale, including AI, ML infrastructure, and distributed systems. You will design, develop, test, deploy, and maintain software across projects critical to Google’s needs, with opportunities to switch teams as you grow.

You will collaborate across teams, manage priorities and deliverables, and contribute to ML research or product impact across Home, Search, and Recommendations.