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About Us
Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.
The Role
As a Software Engineer in the Generative AI (GenAI) team, you will be a key contributor to the design, development, and deployment of innovative GenAI models. You will work on challenging problems, pushing the state-of-the-art in GenAI, and contributing to research that has the potential to impact millions of people. We are looking for individuals who are passionate about AI, have a strong engineering background, and are eager to learn and grow in a fast-paced environment.
Key responsibilities:
- Design, develop, and implement highly scalable and efficient software systems for training and deploying GenAI models.
- Contribute to the development of novel algorithms and architectures for GenAI.
- Optimize performance and scalability of existing ML systems and infrastructure.
- Write high-quality, well-documented code.
- Participate in code reviews and contribute to improving engineering best practices.
- Communicate technical decisions and tradeoffs effectively. Drive consensus among colleagues within and across project teams.
- Collaborate cross-functionally with other Google product area partners to build robust and high-impact software products.
About You
In order to set you up for success as a Software Engineer at Google DeepMind, we look for the following skills and experience:
- Bachelor’s degree or equivalent practical experience.
- 8 years of experience with software development in one or more programming languages, and with data structures/algorithms.
- 8 years of experience testing, maintaining, or launching software products, and experience with software design and architecture.
- 4 years of experience in a technical leadership role leading project teams and setting technical direction.
- Solid software engineering skills across design and coding (C++, Python).
- Experience with large-scale distributed systems.
- Strong knowledge of best practices in the software development lifecycle.
- Familiarity with large scale fast paced production environments.
- Great communication and collaboration capabilities.
In addition, the following would be an advantage:
- Experience building and deploying machine learning models in a production environment.
- Familiarity with various ML techniques (e.g., supervised/unsupervised learning, deep learning) and experience with relevant tools and technologies
Top Skills
What We Do
We’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.
Our long term aim is to solve intelligence, developing more general and capable problem-solving systems, known as artificial general intelligence (AGI).
Guided by safety and ethics, this invention could help society find answers to some of the world’s most pressing and fundamental scientific challenges.
We have a track record of breakthroughs in fundamental AI research, published in journals like Nature, Science, and more.Our programs have learned to diagnose eye diseases as effectively as the world’s top doctors, to save 30% of the energy used to keep data centres cool, and to predict the complex 3D shapes of proteins - which could one day transform how drugs are invented.
