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 work on high-risk and high-impact projects where machine learning meets formal methods to design and optimize computing systems. You will reinforce and complement DeepMind teams based in Paris, involving broader and daily collaboration with teams in London, Zürich, North America and Asia-Pacific regions.
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.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
France: €82000 - €84500 (EUR) + 15% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Write product or system development code.
- Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
- Application of formal methods and constraint programming to the verification of complex computing systems.
- Perform MLIR-based compiler construction.
- Oversee the application of differentiable programming, generative machine learning and reinforcement learning to design and implement domain-specific computing systems.
Qualifications
Minimum qualifications:
- Bachelor's degree in Computer Science, related technical field or equivalent practical experience.
- 2 years of experience with software development in one or more programming languages.
Preferred qualifications:
- 5 years of coding experience in two or more of the following languages: Java, C/C++, C#, Objective-C, Python, JavaScript, PHP, Ruby or Go.
- 5 years of experience with machine learning algorithms and tools (e.g., PyTorch, JAX, TensorFlow), artificial intelligence, deep learning, LLMs, or natural language processing.
- 2 years of experience with compiler infrastructure (LLVM, GCC) or programming language formalization.
- 2 years of experience in low level ML accelerator programming, compiler or other close to hardware performance programming.