About the job
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.
Responsibilities
Make core contributions to Gemini that advance what digital agents can do and are deployable into production.
Identify model areas of improvement.
Train and evaluate UI Control agents across various digital environments.
Focus on multi-step reinforcement learning in multimodal, digital environments.
Qualifications
Minimum
PhD degree in Computer Science, a related field, or equivalent practical experience.
2 years of experience designing, training, and evaluating machine learning models.
Experience in Generative AI (Large Language Models, Multi-Modal, Large Vision Models).
Experience collaborating with cross-functional teams and communicating project updates to stakeholders.
Experience in building, scaling, and training/fine-tuning AI models and systems.
Experience with reinforcement learning.
Preferred
Ability to adapt, be proactive, and take ownership.
Ability to grow in a fast growing, fast paced environment delivering accuracy while managing deadlines where adaptability is imperative.