XR Multimodal AI Engineer — On-Device & Edge

Google LLC; San Jose, New York (CA, NY); Vor Ort; USD 147.000 - 210.000; Vollzeit

Zusammenfassung

Google is seeking a software engineer focused on advancing multimodal and conversational AI for next-gen wearable computers. You will conduct development on large language models (LLMs) and agents, with emphasis on the multimodal domain (vision, audio) for XR devices such as smart glasses and headsets.

You will work with researchers, engineers, and product teams to drive the technical roadmap, prototype on-device AI features, and publish findings at conferences, while contributing to impactful

Qualifikationen

• Bachelor’s degree or equivalent practical experience.
• 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
• 1 year of experience with one or more of: speech/audio, reinforcement learning, ML infrastructure, or specialization in another ML field.
• 1 year of experience with ML frameworks such as JAX, TensorFlow, or PyTorch.

Aufgaben

• Lead the development and optimization of on-device and hybrid multimodal models for XR devices. Utilize prompting, few-shot learning, and post-training techniques to enhance performance under power/latency constraints.
• Create evaluation plans for hybrid systems, from dataset development to KPI definitions for model accuracy and efficiency.
• Identify, implement, and ship innovations focusing on hybrid agent architectures, edge-cloud orchestration, multimodality, tooling, and personalization.
• Prototype on-device AI features rapidly and iterate with XR product teams to enable testing.
• Collaborate with research scientists, engineers, and product teams to drive the technical roadmap and share findings via conferences.

Kenntnisse

Software development

ML knowledge

On-device optimization

Ausbildung

Bachelor's degree or equivalent practical experience

Tools

JAX

TensorFlow

PyTorch

Jobbeschreibung

Google is seeking a software engineer focused on advancing multimodal and conversational AI for next-gen wearable computers. You will conduct development on large language models (LLMs) and agents, with emphasis on the multimodal domain (vision, audio) for XR devices such as smart glasses and headsets.

You will work with researchers, engineers, and product teams to drive the technical roadmap, prototype on-device AI features, and publish findings at conferences, while contributing to impactful