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.
Freshness and Factuality are critical areas for info-seeking journeys focusing on providing factuality correct and up-to-date information to the user.
Our team is focusing on classical info-seeking journeys, and drives quality, backend improvements and alignment with product needs.
We are a fast-paced organization bringing features from ideation to launch in a matter of months. We are a non-bureaucratic, innovative, bottom-up organization.
In this role, you will lead a team of software engineers focusing on Freshness critical journeys and ensure the Gemini applications deliver reliable and personalized experiences.
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.
We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.
Responsibilities
- Develop the mid-term technical vision and roadmap within the scope of your (often multiple) team(s). Evolve the roadmap to meet anticipated future requirements and infrastructure needs.
- Review code developed by other engineers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
- Provide qualitative & quantitative analysis of different parts of the ecosystem.
- Perform in-depth loss analysis, develop/improve offline evaluation pipelines and collaborate with research partners to upstream fundamental model losses.
- Research, propose and develop innovative backend solutions addressing quality gaps and misalignments, performing and analysing online experiments and productionizing proposed improvements in the C++ backend.
Qualifications
Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 8 years of experience in software development.
- 5 years of experience programming in Python or C++.
- 3 years of experience in a technical leadership role; overseeing projects.
Preferred qualifications:
- Master's degree or PhD in Computer Science or related technical field.
- 3 years of experience working in a complex, matrixed organization.
- Experience with deep learning/machine learning.