Research Scientist, Socioaffective Agents
Share
Job Location:
New York City, NY - USA
Monthly Salary:
$ 166000 - 244000
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
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 humanitys most useful inventions. At Google DeepMind were 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 $166000 - $244000 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.
Required Experience:
Unclear Seniority
Key Skills
- Laboratory Experience
- Machine Learning
- Python
- AI
- Bioinformatics
- C/C++
- R
- Biochemistry
- Research Experience
- Natural Language Processing
- Deep Learning
- Molecular Biology
About Company
Artificial intelligence could be one of humanity’s most useful inventions. We research and build safe artificial intelligence systems. We're committed to solving intelligence, to advance science and benefit humanity.
