Senior XR & AI Prototyping Specialist

Insight Global; Redmond (WA); On-site; USD 120,000 - 160,000; Full time

Job summary

Insight Global in Redmond is seeking a senior prototyping engineer to explore XR and AI interactions, shape future experiences, and collaborate with interaction designers, scientists, product managers, engineers, and researchers.

The role requires staying current with ML/NLP advances, performing user-centered experiments on prototypes, and documenting handover materials across guides and repositories to support knowledge transfer.

Qualifications

• Minimum of 5 years in Prototyping or Game Development, with proven development, collaboration and leadership skills in cross-functional environments.
• AI/ML Research Experience: At least 2 years of research experience in AI/ML Prototyping.
• Technical Knowledge: Familiarity with large language models, deep learning, and neural networks.
• Proficiency with C# and comfortable with Python, shell scripting.
• Rapid prototyping: ability to build prototypes within short time frames.

Responsibilities

• Prototype XR and AI interaction concepts.
• Collaborate with interaction designers, scientists, PMs, engineers, and researchers to bring concepts to implementation.
• Conduct user research and experiments on prototypes based on research questions.
• Stay informed on ML/NLP advancements.
• Share research trends and best practices across teams.
• Explain prototyping decisions to internal stakeholders.
• Help establish prototyping processes to align cross-functional teams.
• Provide and seek feedback to improve product quality.
• Handover materials across guides, wikis and repositories.

Skills

Prototyping

Cross-functional collaboration

Leadership

AI/ML research

C# programming

Python

Communication

Rapid prototyping

Software engineering

Adaptability

Job description

Insight Global in Redmond is seeking a senior prototyping engineer to explore XR and AI interactions, shape future experiences, and collaborate with interaction designers, scientists, product managers, engineers, and researchers.

The role requires staying current with ML/NLP advances, performing user-centered experiments on prototypes, and documenting handover materials across guides and repositories to support knowledge transfer.