Research Software Engineer Multimodal AI

@ Google

About the Role

The Research Software Engineer Multimodal AI at Google will work on advanced AI research for XR devices. You will develop algorithms, models, and production-quality code in C++ and Python. This role emphasizes large language models, multimodal learning, and innovative AI solutions for real-world XR scenarios.

Minimum Qualifications

• Bachelor’s degree or equivalent practical experience.
• 5 years of software development experience in one or more programming languages.
• 3 years testing, maintaining, or launching software products.
• 1 year experience in software design and architecture.
• 2 years in areas such as deep learning, computer vision, or perception.
• Experience in C++, Python, Generative AI, and Machine Learning.

Preferred Qualifications

• Master's degree or PhD in Computer Science or related field.
• Experience in a technical leadership role.
• Familiarity with ML frameworks like JAX, TensorFlow, or PyTorch.
• Knowledge on multimodal learning, large language models, prompt engineering, few-shot learning, and evaluations.
• Understanding of large-scale model training and deployment.

Responsibilities

• Develop algorithms and models to enhance AI agents for XR devices.
• Write production-quality C++/Python code and tests.
• Create evaluation plans including KPI definitions and measurements.
• Implement latest modeling innovations including orchestration, multimodality, hybrid architectures, and personalization.
• Prototyping and iterative development in close partnership with XR product teams.

Key Skills/Competency

• C++
• Python
• Generative AI
• Machine Learning
• Deep Learning
• Multimodal Learning
• Large Language Models
• XR Device Algorithms
• Prompt Engineering
• Software Design