The project is an interesting, knotty and future-focused AR/XR research project building out tangible, functioning prototypes that can help inform next generation XR product development. It's exploratory rather than production-focused, and we want these prototypes to help us learn through making. The ideal candidate will have experience in Unity and AI/LLMS prototyping.
Required:
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 and Programming Expertise: Familiarity with large language models, deep learning, and neural networks.
Proficiency with C and comfortable working in other languages such as Python, shellscript
Rapid Prototyping: Experience in building prototypes within short time frames.
Technology Understanding: Practical knowledge of current technologies used to build rich experiences in responsive web and native mobile large enterprise apps.
Communication Skills: Excellent communication and storytelling skills, with the ability to simplify complex ideas.
Engineering Competence: Broad engineering competence and in-depth technical knowledge of comprehensive software systems, along with demonstrated experience in successfully planning, organizing, and conducting software development projects in a dynamic or startup environment.
Adaptability: Thrive in dynamic, fast-paced environments, demonstrating a growth mindset and the ability to learn new languages and technologies as needed.
Skillsets:
Experience prototyping with AI or LLMs
Experience in Unity (C , Python or Java)
Experience developing with Quest; prior knowledge of the Unity Oculus Integration SDK would be useful
Experience with networking
Experience with optimisation for mobile and VR platforms
Strong communication skills; comfortable with iterative process
Responsibilities:
Innovation and Prototyping: Explore and create prototypes that shape the future of XR and AI interactions.
Collaboration: Work closely with interaction designers, scientists, product managers, engineers, and researchers to bring great experiences from concept to implementation.
User Research: Collaborate with user research and design teams to test, iterate on prototypes, and conduct experiments based on research questions.
Technology Awareness: Stay informed about the latest advancements in machine learning, NLP, and related technologies.
Research Advocacy: Contribute to research growth across teams by sharing research trends and best practices within the community.
Communication: Clearly explain prototyping decisions to a diverse group of internal stakeholders.
Process Development: Assist in establishing prototyping processes to align cross-functional teams.
Feedback and Improvement: Actively give and seek feedback to enhance the quality and craftsmanship of the product.
Documentation: handover materials for knowledge transfer, across written guides, wikis and repositories.