Research Engineer, Language

At Google Deep Mind, 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.

Artificial Intelligence could be one of humanity’s most useful inventions. At Google Deep Mind, 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.

Artificial Intelligence could be one of humanity’s most useful inventions. At Google Deep Mind, 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.

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.

• 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.

In order to set you up for success as a Research Engineer at Google Deep Mind, we look for the following skills and experience:

• Proven experience of building codebases that support machine learning  are familiar with ML / scientific libraries (e.g. JAX, Tensor Flow, 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).

Note:

Relocation support is offered for applicants > 50 miles from the location.