Job Description
We are pioneering the next frontier of Artificial General Intelligence (AGI) with our ambitious 2026 Roadmap. As a Lead Neural Architect at Synapse Futures, you will be at the helm of designing the core cognitive frameworks that define our next-generation AI systems. This is not just a job; it is a mission to shape the technological landscape of the decade.
In this pivotal role, you will bridge the gap between theoretical neural science and scalable production systems. You will lead a world-class team of researchers and engineers to build models that are not only intelligent but also safe, ethical, and infinitely scalable. If you are driven by the challenge of defining the architecture of the future, we want to hear from you.
Why Join Us?
- Work on cutting-edge research directly impacting the 2026 product timeline.
- Competitive compensation package with equity options.
- Flexible remote-first culture with access to top-tier equipment.
- Opportunity to define industry standards for neural network efficiency.
Responsibilities
- Architect and deploy proprietary neural network architectures optimized for the 2026 roadmap.
- Lead the end-to-end lifecycle of model development, from research to production deployment.
- Mentor senior engineers and researchers, fostering a culture of innovation and technical excellence.
- Collaborate with cross-functional teams to integrate AI models into broader system ecosystems.
- Evaluate and implement the latest breakthroughs in deep learning and distributed computing.
- Ensure model interpretability, fairness, and alignment with safety protocols.
Qualifications
- PhD or Master’s degree in Computer Science, Mathematics, or a related quantitative field.
- Minimum of 5 years of professional experience in machine learning, deep learning, or neural architecture search.
- Expert proficiency in Python, PyTorch, and TensorFlow.
- Proven track record of deploying large-scale AI models in production environments.
- Strong understanding of distributed systems, high-performance computing, and cloud infrastructure (AWS/GCP).
- Demonstrated leadership experience in managing technical teams and projects.