Snapshot
Members of the Affective Computing group contribute broadly across DeepMind efforts including to the Gemini program, frontier agents research, and applied research for Google products. The group emphasizes research in socio-emotional understanding and generation tasks across modalities, and increasingly in multi-agent settings. Research topics include, but are not limited to, better audio-visual representations for understanding emotional expressions, controllability of expressions in generated imagery/video/speech, conversational naturalness, affective rewards for reinforcement learning, human-AI collaboration, and safety mechanisms for harms like emotional manipulation and over-reliance.
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
Research Scientists at Google DeepMind lead our efforts in developing novel algorithmic architecture towards the end goal of solving and building Artificial General Intelligence.
In this role, responsibilities will include making key contributions to Gemini workstreams, and pushing the frontier of agentic experiences.
Key responsibilities
- Prototyping: Developing new human-AI interaction experiences that waypoint and make tangible a positive future of relational and emotional AIs.
- Data: Unlocking new multimodal affective capabilities in large models, both pre-training and post-training, focusing on social agents.
- Models: Improving quality of models for understanding and generation. This may include research on improving tokenizers, training with implicit rewards, and/or general model behavior via fine-tuning.
- Evals: Better evaluation methods (human, auto raters, automated metrics) to measure quality of open-ended tasks.
About You
In order to set you up for success as a Research Scientist at Google DeepMind, we look for the following skills and experience:
- PhD in Artificial Intelligence, Machine Learning, or related field. Open also to backgrounds in Psychology (Social, Developmental, Cognitive), but must have strong Computational emphasis.
- Proven experience working with LLMs. Must have some multimodal experience, even if not a main focus.
- Proven track record of research and publications in one or more of the following areas: affective computing or sciences, LLM benchmarking, conversational design, audio/video generation.
In addition, the following would be an advantage:
- Experience of JAX, PyTorch or similar training frameworks
- Experience in Python and/or C++
- Experience applying and productionizing state-of-the-art multimodal research
- Diverse experience collaborating cross-function and with other researchers
The US base salary range for this full-time position is between $166,000 - $244,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.
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.