Research Scientist, Multimodal Alignment, Safety and Fairness, DeepMind

DeepMind Technologies Limited; Mountain View (CA); On-site; USD 147,000 - 210,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

Life insurance

Disability insurance

401(k) with company match

PTO 20 days per year

Sick time 40 hours/year (Seattle 69)

Maternity leave 28-30 weeks

Baby bonding leave 18 weeks

Holidays 13 paid days

Job summary

Google DeepMind is seeking a Research Scientist to advance AI research and deploy ideas across product lines. You will design experiments, prototype architectures, and drive research from concept to implementation, addressing real-world problems in machine learning and related domains.

You will contribute to publishing results and engaging with the global research community, collaborating with internal teams and partner institutions to push the boundaries of AI capabilities.

Qualifications

• PhD or equivalent practical experience in CS/ML or related field.
• Experience with Python and deep learning frameworks (JAX, Flax, Gemma).
• Experience building multimodal AI models and systems.
• Experience in research and development including experimental design, implementation, and analysis.
• Strong publication record in ML conferences (e.g., NeurIPS, CVPR, ICML).

Responsibilities

• Generate ideas and stay current with state-of-the-art in the field.
• Design, implement, and evaluate ideas and tools for sociotechnical AI systems.
• Report and present research findings clearly, internally and externally.
• Collaborate across teams to meet research goals and contribute individually.
• Own substantial technical projects from ideation to evaluation.

Skills

PhD in CS/ML

Python

Multimodal AI

Experimental design

Publications in ML

Education

PhD in CS/ML

Tools

JAX

Flax

Gemma

Job description

In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:

• Health, dental, vision, life, disability insurance
• Retirement Benefits: 401(k) with company match
• Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
• Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
• Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
• Baby Bonding Leave: 18 weeks
• Holidays: 13 paid days per year

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; Kirkland, WA, USA; New York, NY, USA.

Minimum qualifications:

• PhD degree in Computer Science, Machine Learning, or a related technical field, or equivalent practical experience.
• Experience in Python and deep learning frameworks (e.g., JAX, Flax, or Gemma).
• Experience in developing multimodal AI models and systems.
• Experience conducting research and development, including experimental design, implementation, and analysis.
• Publication record in machine learning conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, ECCV).

Preferred qualifications:

• Experience fine-tuning and post-training LLMs using Reinforcement Learning (RL) or other alignment methods.
• Experience with developing generative AI architectures, techniques, and agentic AI solutions.
• Experience with multimodal learning, integrating information from different data types (e.g., vision, audio, text).
• Proven expertise in working with, tuning, and prototyping large-scale vision-language models (VLMs) using modern prompting strategies.
• Strong interest in and awareness of the AI alignment, safety, responsibility, and fairness landscape, with an excitement to collaborate across disciplines.

About The Job

As an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work. As a Research Scientist, you'll setup large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies. From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more.

As a Research Scientist, you'll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world.

Artificial intelligence will be one of humanity’s most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.

We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $147000 - $210000 (USD) + 15% bonus target + equity + benefits

Responsibilities

Learn more about benefits at Google.

• Generate new ideas, keep up with the state-of-the-art in the field, and discuss research directions with other researchers.
• Design, rapidly implement, and evaluate ideas, methods, interfaces, and tools to explore new sociotechnical AI systems.
• Report and present research findings and developments clearly and efficiently both internally and externally, verbally and in writing.
• Suggest and engage in inter and intra-team collaborations to meet ambitious research goals, while also driving significant individual contributions.
• Take ownership of substantial technical projects, from ideation and design to implementation and evaluation, often involving cross-functional collaboration.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.