Research Engineer, Language

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.

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

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

We’re looking for a Research Engineer with exceptional engineering skills and understanding of large-scale neural network training and data processing, as well as a strong working knowledge of machine learning experimentation.

Key responsibilities:

• Develop, maintain, and improve large scale multimodal models and data pipelines (used for training and evaluation of models).

• Collaborate with team members to develop and implement new methods for evaluating and improving multi-modal generative models, particularly at the post-training stage.

• Develop and maintain pipelines to collect human data.

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:

• Proven experience of building codebases that support machine learning at scale. You are familiar with ML / scientific libraries (e.g. JAX, TensorFlow, PyTorch, Numpy, Pandas), distributed computation, and large scale system design.

• Knowledge of machine learning and statistics.

In addition, the following would be an advantage:

• MSc or PhD/DPhil degree in computer science, physics, mathematics, applied stats, machine learning, or similar experience working in industry.

• Experience with LLMs, VLMs, and/or diffusion models training and inference.

• Experience working in industry on team projects from early (proof-of-concept) to late stages (implementation and evaluation).