Job Description
Are you ready to define the future of technology?
Nexus Future Labs is seeking a visionary Senior AI Research Scientist to spearhead our 2026 Roadmap. We aren't just building for today; we are architecting the cognitive infrastructure for tomorrow. If you possess an insatiable curiosity for the bleeding edge of Artificial General Intelligence (AGI) and possess the technical prowess to turn science fiction into reality, we want to meet you.
As a key architect in our elite research division, you will lead a high-impact team focused on developing the next generation of neural networks capable of surpassing human cognitive benchmarks by 2026. You will work in a fully remote-first environment with occasional opportunities for high-end collaboration at our state-of-the-art innovation hub in the heart of San Francisco.
Why Join Nexus Future Labs?
- Impact at Scale: Your work will directly shape the future of global industries.
- Future-Proofing: Focus on technologies that will define the 2026 era and beyond.
- Unlimited PTO & Equity: We believe in rewarding our visionaries with both time and ownership.
Responsibilities
- Lead the strategic R&D vision for 2026 Neural Architectures, specifically focusing on Neuromorphic computing and quantum-inspired algorithms.
- Design and implement scalable Deep Learning models capable of processing multi-modal data streams in real-time.
- Mentor and guide a team of junior researchers and data scientists, fostering a culture of innovation and excellence.
- Collaborate cross-functionally with engineering, product, and design teams to translate theoretical breakthroughs into practical applications.
- Stay ahead of emerging trends in the AI landscape to ensure our roadmap remains competitive and relevant.
- Present complex technical findings to C-level executives and external stakeholders with clarity and confidence.
Qualifications
- PhD or Master’s degree in Computer Science, Artificial Intelligence, Mathematics, or a related technical field.
- Minimum of 8+ years of professional experience in AI/ML research and development.
- Proven expertise in Deep Learning frameworks (TensorFlow, PyTorch, JAX) and experience with LLMs (Large Language Models).
- Strong understanding of mathematical foundations, including linear algebra, calculus, and probability theory.
- Demonstrated track record of publishing in top-tier conferences (NeurIPS, ICML, ICLR) or holding key patents.
- Excellent problem-solving skills and the ability to thrive in a fast-paced, high-stakes research environment.