Staff Software Engineer, Machine Learning, GeminiApp Personalization, DeepMind

At Google DeepMind our mission is to build the world's first general-purpose learning agent. Central to this mission is the complex task of measuring the intelligence of our prototypes. As a Software Engineer, you will be working with the cutting edge AI agents developed by our exceptional team of Machine Learning and Neuroscience research scientists. Your responsibilities will include everything from creating systems for agent testing using 2D and 3D games to developing test problems within physics simulators. You will create graphical visualization of results, build competitive agent leaderboards and test new algorithms on robots. To succeed in this role you will need to have a strong foundation in software engineering and enjoy working on a wide range of challenging problems within a mission-driven team.

In this role, you will be focused on building Google's next-generation AI assistant. You will empower billions of people by offering personalized products that serve as a seamless extension of their intellect. You will help build a personal AI assistant that continuously absorbs, organizes, and effortlessly recalls the unique interests, passions, and curiosities of individuals, evolving alongside them to amplify their everyday thinking.

Artificial intelligence will be one of humanity’s most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.

Responsibilities

• Design, prototype, and build features on the full Gemini App stack that securely capture, organize, and intuitively surface long-term personal context.
• Perform relevant data analysis of user feedback, logs, and evaluation tasks to identify opportunities for improving how effectively the assistant retains and synthesizes historical user interactions.
  
• Develop evaluation techniques (both automated and human-in-the-loop) to assess and hill-climb on the safety and quality of contextual recall and the assistant's ability to act as a seamless cognitive extension.
• Act as the primary owner and critical judge of model output safety and quality, ensuring responses accurately reflect, synthesize, and build upon the user's unique history and ongoing preferences.
  
• Contribute to the development of a data flywheel that safely accumulates and leverages continuous user context, driving ongoing improvement and innovation.

Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.
• 8 years of experience in software development.
• 5 years of experience testing, and launching software products.
• 5 years of experience working with machine learning, AI, large language models (LLM) to process and create data.
• 5 years of experience in software development with Python.
• 3 years of experience with software design and architecture.

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.
• 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.
• 3 years of experience in a technical leadership role leading project teams and setting technical direction.