Research Scientist, Multimodal Alignment, Safety and Fairness, DeepMind

About the role

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.

Responsibilities

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• 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

Requirements

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

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 vision-language models (VLMs) using modern prompting strategies
• Strong interest in and awareness of the AI alignment, safety, responsibility, and landscape, with an excitement to collaborate across disciplines

Skills

• Strong communication and presentation skills
• Ability to work independently and as part of a team
• Excellent problem-solving and analytical skills
• Knowledge of industry standards and best practices

Benefits

• 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

Pay

$147,000 - $211,000 (USD) + 15% bonus target + equity + benefits

Schedule

Full-time