Senior Software Engineer, Generative AI/Machine Learning, Google Ads

• Write and test product or system development code, focusing on end-to-end features spanning user-facing interfaces (chat, email, and video) down to backend APIs, storage schemas, and databases.
• Collaborate with peers and stakeholders through design and code reviews. Partner with peers via design docs and code reviews to ensure system accuracy, testability, and adherence to engineering best practices.
• Contribute to existing documentation or educational content: Create and update technical documentation, API specifications, and developer guides based on product updates and user feedback.
• Triage, debug, and resolve platform issues, analyzing root causes and their downstream impacts on system and service operations.
• Design and implement solutions in one or more specialized ML areas, leverage ML infrastructure, and demonstrate expertise in a chosen field, focusing on agentic prompts and multi-turn conversational workflows.

Minimum qualifications:

• Bachelor’s degree in Computer Science, Mathematics, a related technical field, or equivalent practical experience.
• 5 years of experience with software development in one or more programming languages (e.g., Java, C++, Python, or Go).
• 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 one or more of the following: Speech/audio, reinforcement learning, ML infrastructure or specialization in another ML field.
• 3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging, prompt engineering, LLM output validation).

Preferred qualifications:

• Master's or PhD in Computer Science, Mathematics, or related technical field.
• 5 years of experience with data structures or algorithms (including optimizing graph traversal, search efficiency, or data processing pipelines in high-throughput applications).
• 1 year of experience in a technical leadership role, manging end-to-end project delivery, conducting architectural reviews, or mentoring engineering peers.
• Experience developing accessible technologies to ensure our user-facing communication interfaces are accessible to all business users.
• Experience with full-stack development spanning backend systems and frontend frameworks (such as Dart, JavaScript, TypeScript), and direct experience with shadow-mode testing or batch evaluation workflows.

• Bachelor’s degree in Computer Science, Mathematics, a related technical field, or equivalent practical experience.
• 5 years of experience with software development in one or more programming languages (e.g., Java, C++, Python, or Go).
• 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 one or more of the following: Speech/audio, reinforcement learning, ML infrastructure or specialization in another ML field.
• 3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging, prompt engineering, LLM output validation).