Advance the frontiers of fairness, safety, and inclusion in multimodal AI, building new capabilities into Google's flagship models and products so that they work for everyone. Leverage agentic techniques to assess and improve model safety and alignment.
Requirements
- PhD in Computer Science or related field.
- Strong publication record in top machine learning conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, ECCV).
- Experience in at least one modern deep learning framework (e.g. Tensorflow, JAX, PyTorch).
- Experience prototyping with VLMs with modern prompting strategies (e.g., thinking / reasoning)
- Experience finetuning and post-training LLMs using RL
- Experience with developing agentic AI solutions to complex problems
- Interest in AI alignment/fairness/safety/responsibility.
Responsibilities
- Design and execute experiments to validate research hypotheses
- Research and develop novel techniques for agent-human interaction workflows
- Research and implement techniques for modeling expected user behavior, identifying and summarizing loss patterns, balancing exploration and exploitation objectives
Other
- This role is ideally located in Mountain View, CA. For the right candidate, there may be an option to work from either New York City, NY, Kirkland, WA, or Pittsburgh, PA.
- Excited to collaborate across orgs and disciplines to leverage diverse perspectives and expertise and find creative solutions.
- 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.
