Job Description
We are not just predicting the future; we are architecting it. Synthetix Future Systems is seeking a visionary AI Architect (2026 Vision) to lead our research into Artificial General Intelligence (AGI) and neuromorphic computing. If you are passionate about the bleeding edge of technology and want to define the standards for the next decade, this is your opportunity.
In this role, you will bridge the gap between theoretical AI research and practical application, building scalable systems that will power the digital landscape of 2026 and beyond. You will work in a high-performance environment with top-tier engineers and researchers.
Why join us?
- Impactful Work: Directly influence the trajectory of human-machine interaction.
- Future-Ready Tech: Access to cutting-edge hardware and cloud infrastructure.
- Equity Package: Competitive stock options in a high-growth startup.
Join us in shaping the future of intelligence.
Responsibilities
- Architect AGI Systems: Design and implement scalable architectures for Artificial General Intelligence prototypes, focusing on reasoning and learning capabilities beyond current LLMs.
- Neuromorphic Engineering: Lead R&D initiatives integrating spiking neural networks (SNNs) with traditional deep learning models to optimize energy efficiency.
- Ethical AI Governance: Develop frameworks for AI safety, bias mitigation, and transparency in automated decision-making processes.
- Cross-Functional Leadership: Mentor a team of data scientists and ML engineers, providing technical guidance on complex algorithmic challenges.
- Roadmap Strategy: Define the technical roadmap for AI capabilities, anticipating trends in 2026 and beyond.
- Prototype Validation: Rigorously test and validate AI models in simulated and real-world environments.
Qualifications
- Education: PhD or Master’s degree in Computer Science, Artificial Intelligence, Robotics, or a related quantitative field.
- Experience: 5+ years of experience in machine learning engineering, with at least 2 years in a senior leadership or architect role.
- Technical Skills: Deep expertise in Python, PyTorch, TensorFlow, and distributed computing systems.
- Research Background: Demonstrated history of publishing in top-tier AI conferences (NeurIPS, ICML, ICLR) or patents.
- Future Tech Vision: Strong understanding of emerging trends such as quantum computing integration with AI, edge AI, and multimodal learning.
- Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders.