Job Description
Are you ready to shape the intelligence of tomorrow?
We are seeking a visionary Senior AI & Neural Architect to lead our research into the next generation of artificial general intelligence (AGI). In this role, you will design and implement the core neural architectures that will define the technological landscape of 2026 and beyond. If you are passionate about pushing the boundaries of deep learning, quantum integration, and cognitive computing, we want to hear from you.
Why Join Us?
- Work on cutting-edge projects that are shaping the future of humanity.
- Competitive salary and equity package.
- Flexible remote-first policy with access to state-of-the-art research facilities.
Responsibilities
- Architectural Leadership: Design and optimize next-generation neural network architectures, integrating advanced techniques in deep reinforcement learning and transformer models.
- R&D Strategy: Lead the research strategy for proprietary AI models, focusing on scalability, energy efficiency, and human-like reasoning capabilities.
- Cross-Functional Collaboration: Partner with quantum computing teams and hardware engineers to bridge the gap between software algorithms and next-gen processing units.
- Model Optimization: Implement rigorous optimization pipelines to ensure models run efficiently on edge devices and distributed cloud environments.
- Mentorship: Guide a team of junior data scientists and AI engineers, fostering a culture of innovation and technical excellence.
- Publication: Contribute to top-tier academic journals and conferences, establishing NexGen Dynamics as a thought leader in the AI space.
Qualifications
- Education: Master’s or PhD in Computer Science, Mathematics, or a related field, with a focus on Artificial Intelligence or Neural Networks.
- Experience: Minimum of 7+ years of professional experience in machine learning, deep learning, or AI research.
- Technical Skills: Expert proficiency in Python, PyTorch, TensorFlow, and C++. Deep understanding of distributed systems and MLOps practices.
- Research: Proven track record of publishing novel research in top-tier venues (NeurIPS, ICML, ICLR) or shipping production-grade AI systems at scale.
- Problem Solving: Exceptional ability to tackle complex, ambiguous problems with innovative, data-driven solutions.
- Communication: Excellent verbal and written communication skills, capable of translating complex technical concepts for diverse stakeholders.