Senior AI/ML Engineer- Large-Scale ML & Deployment (Equity)

Google; Paris; Sur place; EUR 104 000 - 106 000; Plein temps

Avantages offerts par ce poste

Equity

Benefits

Résumé du poste

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. We work on projects critical to Google’s needs with opportunities to switch teams as we grow.

You will design, develop, test, deploy, maintain and enhance software solutions for a variety of challenges including ML and large-scale data processing.

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 5 years of experience with software development in one or more programming languages.
• 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
• 3 years of experience with speech/audio, reinforcement learning, ML infrastructure, or related ML field.
• 3 years of experience with ML infrastructure (deployment, evaluation, data processing, debugging).

Responsabilités

• Write and test product or system development code.
• Collaborate with peers and stakeholders through design and code reviews to ensure best practices.
• Contribute to documentation and adapt content based on updates and feedback.
• Triage issues and debug/resolve impacts on hardware, network, or service quality.
• Design and implement solutions in one or more ML areas and leverage ML infrastructure.

Connaissances

Software development

Programming languages

Testing/launching software

ML infrastructure

Speech/Audio ML

Reinforcement learning

Formation

Bachelor’s degree or equivalent practical experience

Description du poste

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. We work on projects critical to Google’s needs with opportunities to switch teams as we grow.

You will design, develop, test, deploy, maintain and enhance software solutions for a variety of challenges including ML and large-scale data processing.