Job Description
We are pioneering the interface for the year 2026. At Zai Systems Inc., we are building the next generation of immersive digital experiences by merging Generative AI with Spatial Computing. If you are a visionary engineer who wants to define the future of human-computer interaction, we want to hear from you.
As part of our '2026 Horizon' division, you will be responsible for developing core machine learning models that power our next-gen AR/VR environment. This is not just about coding; it is about architecting a reality where AI enhances human creativity.
Why Join Us?
- Future-Proof Career: Work on cutting-edge technology that will define the industry standards for the late 2020s.
- Top-Tier Team: Collaborate with PhD researchers and industry veterans from leading tech giants.
- Innovation First: We offer a flexible, remote-first culture with access to the latest hardware for prototyping.
Ready to shape the world of 2026? Apply today.
Responsibilities
- Architect and deploy state-of-the-art Large Language Models (LLMs) optimized for low-latency, real-time inference in spatial environments.
- Design robust neural network pipelines for image synthesis and 3D scene generation using PyTorch and TensorFlow.
- Collaborate with hardware engineers to optimize model performance on edge devices and AR glasses.
- Lead code reviews and establish best practices for scalable, distributed machine learning systems.
- Conduct research to stay ahead of the curve in multimodal AI and generative adversarial networks (GANs).
- Translate complex technical requirements into elegant, user-centric software solutions.
Qualifications
- Bachelor’s or Master’s degree in Computer Science, Mathematics, or a related technical field; PhD preferred.
- 5+ years of professional experience in Machine Learning, Deep Learning, or AI research.
- Strong proficiency in Python, C++, and CUDA for high-performance computing.
- Proven experience working with transformer architectures and generative models.
- Experience with cloud infrastructure (AWS, GCP) and MLOps tooling.
- Excellent communication skills and the ability to work effectively in cross-functional agile teams.