Senior AI/ML Software Engineer, Search — Equity + Bonus

Google LLC; Mountain View (CA); Sur place; USD 147 000 - 210 000; Plein temps

Résumé du poste

Google Mountain View, CA is seeking a Share Software Engineer III focused on AI/ML for Search. You will develop code for large-scale systems, contribute to ML-driven features, and collaborate across teams to push search capabilities forward.

The role emphasizes in-person interviews, strong CS fundamentals, and experience in ML infrastructure and AI-related areas to tackle complex engineering challenges at scale.

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 2 years of software development experience or 1 year with an advanced degree.
• 1 year of experience with one or more of: speech/audio, reinforcement learning, 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).

Responsabilités

• Write product or system development code.
• Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies.
• 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 sources of issues and impact on hardware, network, or service operations and quality.
• Implement solutions in one or more ML areas, utilize ML infrastructure, and contribute to model optimization and data processing.

Connaissances

Software development

ML infrastructure

Speech/Audio

Reinforcement learning

Formation

Bachelor’s degree or equivalent practical experience

Master's degree or PhD in Computer Science or related field

Description du poste

Google Mountain View, CA is seeking a Share Software Engineer III focused on AI/ML for Search. You will develop code for large-scale systems, contribute to ML-driven features, and collaborate across teams to push search capabilities forward.

The role emphasizes in-person interviews, strong CS fundamentals, and experience in ML infrastructure and AI-related areas to tackle complex engineering challenges at scale.