About the position
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. The Google Extended Reality (XR) mission is to give people superhuman abilities by making information instantly and intuitively accessible. The XR Semantic Perception team is working to advance in artificial intelligence for the next generation of wearable computers that are immersive, spatially aware, and contextual. You will conduct cutting-edge development on large language models (LLMs) and agents, particularly in the multimodal domain (visual, audio), focusing on developing more capable AI for XR devices (glasses, goggles). You will be contributing to AI research and help defining 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 pair with helpful AI to augment human intelligence, offering personalized, conversational, and contextually aware experiences.
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 robustness in real-world XR scenarios.
- Write production-quality C++,/Python code and tests.
- Create a comprehensive evaluation plan, from dataset development to KPI definitions and measurements.
- Identify, implement and ship the latest modeling innovations including, orchestration, multimodality, tool integrations, memory, hybrid agent architectures and personalization.
- Prove out concepts through rapid prototyping and iterative development through team testing, product testing in close partnership with the XR product teams.
- Work closely with research scientists, engineers, and product teams within the XR, fostering a collaborative and intellectually stimulating environment.
- Opportunity to publish your research findings through publications in conferences and journals, while contributing to the development of impactful products.
Requirements
- Bachelor's degree or equivalent practical experience.
- 5 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
- 5 years of experience with software development in one or more programming languages, and with data structures/algorithms.
- Experience with computer vision, imaging, or augmented reality platforms.
- Experience in computer vision, graphics, or machine learning, or computational imaging.
Nice-to-haves
- Master's degree or PhD in Computer Science or related technical field.
- 1 year of experience in a technical leadership role.
- Experience in Machine Learning.
- Experience developing accessible technologies.
- Proven track record on Machine Learning related projects.
Benefits
- The US base salary range for this full-time position is $166,000-$244,000 + bonus + equity + benefits.
- Salary ranges are determined by role, level, and location.
- Individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.
