Software Engineering Manager, Generative AI, Google Home Conversational Experiences

Responsibilities

• Design and productize scalable generative AI architectures to significantly improve natural language understanding, multi-modal inputs, and context ingestion.
• Lead the technical strategy and execution for the Gemini for Home conversational dialog stack across task-oriented and open-domain interactions.
• Optimize production conversational systems to deliver step-function improvements in end-to-end latency, reliability, execution safety, and real-world user experience.
• Partner closely with research scientists, product managers, and data scientists to evaluate, fine-tune, and deploy foundation models.
• Manage, mentor, and grow an initial team of software engineers while fostering a high-velocity engineering culture.
• - Design and productize scalable generative AI architectures to significantly improve natural language understanding, multi-modal inputs, and context ingestion. - Lead the technical strategy and execution for the Gemini for Home conversational dialog stack across task-oriented and open-domain interactions. - Optimize production conversational systems to deliver step-function improvements in end-to-end latency, reliability, execution safety, and real-world user experience. - Partner closely with research scientists, product managers, and data scientists to evaluate, fine-tune, and deploy foundation models. - Manage, mentor, and grow an initial team of software engineers while fostering a high-velocity engineering culture.

Minimum qualifications:

Preferred qualifications:

Qualifications

• Minimum qualifications: - Bachelor's degree or equivalent practical experience. - 8 years of experience in software development. - 5 years of experience leading ML design and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning). - 3 years of experience in a technical leadership role. - 2 years of experience with GenAI techniques (e.g., Large Language Models (LLMs), Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision). - 2 years of experience in a people management or team leadership role. Preferred qualifications: - Master’s degree or PhD in Engineering, Computer Science, or a related technical field. - 3 years of experience working in a complex, matrixed organization. - Applied research expertise with LLMs for NLP purposes. - Ability to effectively operate with flexibility in a fast paced, constantly evolving team environment. - Excellent written and verbal communication skills in English.