Building a personal AI assistant that is tailored to the unique interests, passions, and curiosities of individuals
Requirements
- BSc, MSc or PhD/DPhil degree in computer science or other quantitative scientific field, or similar experience working in industry
- Solid proficiency in Python or C++
- Deep understanding of machine learning and statistics
- Experience with TensorFlow, JAX, PyTorch, or similar leading deep learning frameworks
- Experience with deployment in production environments
- Experience working with LLM or ML evaluations systems
- Solid understanding of Deep Learning fundamentals, including transformer architectures, attention mechanisms, and optimization techniques
- Experience adapting LLMs (e.g. supervised fine-tuning, RLHF, prompt optimization)
- Experience with data pipelines and techniques for processing large-scale user data
Responsibilities
- Design, prototype, and build robust, scalable, user-facing personalization features on the full Gemini App stack
- Perform relevant data analysis of user feedback, logs, and evaluation tasks to identify personalization-related quality issues and opportunities
- Propose and implement targeted quality improvements via fine-tuning or prompting
- Develop robust evaluation techniques (both automated and with a human in the loop) to assess and hill-climb on personalization quality
- Act as primary owner and critical judge of model output quality for specific personalization features
- Contribute to the development of a robust data flywheel, driving continuous improvement and innovation
Other
- Bachelor's, Master's, or PhD degree in computer science or other quantitative scientific field
- Excellent communication skills and interpersonal skills
- Cross functional collaboration experience
- Prior experience collaborating with engineers, researchers, and product teams
