Software Engineer, GenAI

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
  
  

At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.