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Posted Mar 9Research Scientist, Multimodal Alignment, Safety, and Fairness
at DeepMind
Kirkland, Washington, United StatesOn-site
Responsibilities
- Research Scientists at Google DeepMind lead the development of novel tools and algorithms to solve Artificial General Intelligence.
- Execute: Design, rapidly implement, and rigorously evaluate cutting-edge ideas, methods, interfaces, and tools to explore new sociotechnical AI systems.
- Collaborate: Suggest and engage in inter- and intra- team collaborations to meet ambitious research goals, while also driving significant individual contributions.
- Drive technical projects: Take ownership of substantial technical projects, from ideation and design to implementation and evaluation, often involving cross-functional collaboration. About you
Requirements
- We are seeking strong Research Scientists with expertise in AI research and
- experience in interdisciplinary sociotechnical modeling to join a multimodal safety research effort within Google DeepMind's Frontier AI unit.
- This role requires a passion for understanding and modeling the interactions between AI and society, a strong awareness of the AI alignment and safety landscape, and a penchant for developing novel ideas, methods, interfaces, and tools.
- This is a unique opportunity to contribute to impactful research and advance Google DeepMind's mission towards Artificial General Intelligence (AGI). 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 and ultimately achieve Artificial General Intelligence.
- Our team is a part of Google DeepMind's Frontier AI unit.
- We have a mission to advance the frontiers of safety and inclusion in multimodal AI, build new capabilities into Google's flagship models and products, and break new ground on AI alignment.
- Our work is at the frontier of augmented oversight for multimodal AI, and our research advances have directly impacted multiple versions of Gemini and Nano Banana models. The role
- experience in interdisciplinary sociotechnical modeling, to lead new breakthrough research directions.
- You will join a team working to supercharge exploration, assessment, and steering of evolving AI behaviors, with a focus on subjective and creative tasks.
- You will research new methods to enable AI agents to monitor real-world social context and dynamically evaluate and evolve system behaviors over long time-horizons.
- You’ll develop new paradigms for human+AI rating that considers systemic behaviors, adapts to human feedback, and proactively seeks context.
- Joining from top academic or industrial labs, they collaborate across fields to tackle fundamental AI questions using expertise in deep learning, computer vision, and generative architectures.
- Your work will drive breakthroughs within GDM, Google products, and the AI alignment community.
- In order to set you up for success as a Research Scientist at Google DeepMind, we look for the following skills and experience: Requirements:
- PhD degree in Computer Science, Machine Learning, or a related technical field.
- Strong publication record in top machine learning conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, ECCV).
- experience in developing multimodal AI models and systems,
- Strong programming skills in Python and
- experience with at least one major deep learning framework (e.g., JAX/Flax/Gemax) •
- Experience conducting independent research and development, including experimental design, implementation, and analysis.
- Experience finetuning and post-training LLMs using RL •
- Experience with developing agentic AI solutions to complex problems
- Interest and a strong awareness of the AI alignment / safety / responsibility / fairness landscape •
- Experience with Generative AI techniques and architectures.
- Familiarity with Reinforcement Learning or alignment methods. •
- Experience with multimodal learning, integrating information from different data types (e.g., vision, audio, text).
- At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact.
- If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.
Benefits
- Proven expertise in working with and tuning large-scale vision language models. •
- The US base salary range for this full-time position is between 147,000 USD - 211,000 USD + bonus + equity + benefits.
- Your recruiter can share more about the specific salary range for your targeted location during the hiring process.
Additional details
- 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 a dedicated scientific community, committed to “solving intelligence” and ensuring our technology is used for widespread public benefit.
- We’ve built a supportive and inclusive environment where collaboration is encouraged and learning is shared freely.
- We don’t set limits based on what others think is possible or impossible.
- We drive ourselves and inspire each other to push boundaries and achieve ambitious goals.
- We approach alignment research with an ecosystem view, partnering across the development and deployment cycle and grounding our work in real-world impact on global users and communities.
- We are a research team with a mandate to invest in longer term bets and explore innovative approaches that deliver breakthrough improvements to models (Gemini) and products.
- You will tackle the underlying research questions to improve collaborative specification of alignment objectives and assessment of adherence to desired behaviors.
- This role requires independent judgment to navigate complex, ambiguous problems and explore diverse technical avenues.
- Research: Generate new ideas, keep up with the state of the art in the field, discuss research directions with other researchers.