Research Engineer, Foundations of Learning
Job Description
Snapshot
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.
About Us
Our team investigates the fundamental principles that govern the behavior of large models, building the core tools and infrastructure necessary for deep scientific inquiry.
The Role
We are seeking a senior Research Engineer to take a leading role in designing and evolving our core research ecosystem. This individual will act as a key engineering partner to researchers, driving the development of our shared codebase and enabling ambitious, large-scale experiments with the potential for broad impact across the organization.
Key responsibilities:
- Drive the design, evolution, and long-term vision for a research codebase, ensuring its stability, simplicity, and suitability for scientific inquiry.
- Lead engineering efforts for large-scale model pre-training experiments, designing and implementing robust solutions for distributed training.
- Act as a subject matter expert on engineering best practices, championing code quality, robust design, and effective tooling.
- Partner with researchers to translate complex research ideas into practical implementations and unblock ambitious research directions.
- Identify opportunities to generalize our tools for wider adoption.
About You
In order to set you up for success as a Research Engineer at Google DeepMind, we look for the following skills and experience:
- BS/MS in Computer Science or related field
- Expert-level proficiency in Python and JAX
- Proven experience designing, building, and pre-training LLMs and large-scale deep learning models
In addition, the following would be an advantage:
- Deep understanding of Transformer architectures
- Experience leading complex, multi-quarter engineering projects in a research environment
- Demonstrated ability to drive engineering best practices (e.g., design docs, code reviews) and influence technical direction
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.
