Senior Software Engineer and Tech Lead, Photos Storytelling

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 8 years of experience in software development.
  
• 7 years of experience leading technical project strategy, ML design, and ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
• 5 years of experience with design and architecture; and testing/launching software products.
  
• 5 years of experience with natural language processing (NLP) concepts and algorithms, and in designing NLP solutions.

Preferred qualifications:

• Master’s degree or PhD in engineering, computer science, or a related technical field.
• 8 years of experience with data structures and algorithms.
• 5 years of experience in a technical leadership role leading project teams and setting technical direction.
• 3 years of experience working in an organization involving cross-functional or cross-business projects.
• Experience leading multi-team technical strategies for consumer-facing products.
  
• Excellent technical design skills for software projects and cross-team collaborations.

About the job

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.

The Photos Storytelling team is on a mission to help the photos users craft, experience, and share their life's stories using AI. The team partners directly with GDM to deploy the latest generative media models and are actively building agentic features that allow users to reminisce and share meaningful moments. You will be the primary technical architect leading the evolution of memories and video editing into the generative era.

The US base salary range for this full-time position is $248,000-$349,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

• Define the multi-year technical ideas and scalable roadmap for the photos storytelling mission.
• Architect and develop agentic features that leverage generative media and the latest large language models to help users reminisce and share their stories. Establish best practices for AI-native systems, focusing on model evaluation, inference performance, and technical design.
• Partner with research partners to integrate and launch features using the latest generative media models.
  
• Lead the use of AI to accelerate development; coach the team on agentic workflows and emerging practices to multiply engineering output and impact.