Research Engineer, Strategic Initiatives, Multimedia

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

Accelerate research in strategic projects that enable trustworthy, robust and reliable machine learning with a group of research scientists and engineers on a mission-driven team. Together, you will apply ML and other computational techniques to a wide range of challenging problems. A public example of recent work is SynthID, and we are actively pursuing other exciting projects across many disciplines.

The Role

As a Research Engineer in Strategic Initiatives, you will use your machine learning expertise to collaborate with domain experts and other machine learning scientists within our Strategic Initiatives programs. Domains may include, but are not limited to, GenAI pre-training, post-training and inference across modalities, and the trustworthiness of data.

Key responsibilities:

• Engage with existing research efforts in the Strategic Initiatives Program to solve key challenges using your broad machine learning experience.


• Collaborate with researchers and machine learning engineers to identify and develop novel machine learning approaches to solve meaningful strategic problems.


• Engage with product teams to drive the deployment of our research.


• Report and present research findings and developments (including status and results) clearly and efficiently both internally and externally, verbally and in writing.


• Suggest and engage in team collaborations to meet research goals for the wider Science programme.

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:

• MSc/Bachelor in Computer Science, or ML practical experience


• Experience with GenAI models for text or multimodal (image, audio, video) across the training and inference lifecycle


• Experience with embeddings and autoraters


• Quantitative skills in maths and statistics.


• Programming experience across common scripting languages and pipelining tools.


• A real passion for AI!

In addition, the following would be an advantage: 

• PhD demonstrating significant advances in machine learning


• Experience in robust and large-scale deployment and inference of those models


• Demonstrated success in delivering high quality research impact.

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.