Minimum qualifications:- Bachelor's degree or equivalent practical experience.
- 5 years of experience with software development in one or more programming languages.
- 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
- 2 years of experience in software development (e.g., deep learning, perception, or computer vision).
- Experience in C , Python, Generative AI, Machine Learning.
Preferred qualifications:- Master's degree or PhD in Computer Science or related technical field.
- 1 year of experience in a technical leadership role.
- Experience with relevant ML frameworks such as JAX, TensorFlow, or PyTorch.
- Experience with multimodal learning, large language models or AI agents.
- Experience with prompt engineering, few-shot learning, post-training techniques, and evaluations.
- Familiarity with large-scale model training and deployment.
About the jobIn this role, you will conduct development on Large Language Models (LLMs) and agents, particularly in the multimodal domain (e.g., audio), focusing on developing more capable Artificial Intelligence (AI) for XR devices (e.g., glasses, goggles). You will contribute to AI research and see your work define the next-generation of computing products.
For decades, the computing revolution has reshaped our world driven by
breakthroughs in compute, connectivity, mobile, and now, AI. Google's XR team is at the forefront of the next major leap - the convergence of AI and XR. This is more than just new devices - it's about reimagining how we interact with the world around us. We're building a future where
lightweight XR devices like smart glasses and headsets pair with helpful AI to augment human intelligence, offering personalized, conversational, and contextually aware experiences.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $174000 - $253000 (USD) 15% bonus target equity benefits
Learn more about benefits at Google .
Responsibilities - Develop algorithms/models to enhance AI agents for XR devices using techniques like prompting, few-shot learning, post-training techniques to improve model performance and real-world XR scenarios.
- Write production-quality C /Python code and tests.
- Create a comprehensive evaluation plan, from dataset development to Key Performance Indicator (KPI) definitions and measurements.
- Identify, implement and ship the latest modeling innovations including, orchestration, multimodality, tool integrations, memory, hybrid agent architectures and personalization.
- Demonstrate concepts through rapid prototyping and iterative development, using team testing in close partnership with the XR product teams.
