Job Description
Join Nexus Innovations at the forefront of technological evolution as we pioneer breakthrough AI systems for 2026 and beyond. We're seeking visionary AI Research Scientists to architect next-generation neural networks, quantum-enhanced algorithms, and autonomous decision frameworks. This role offers unparalleled access to our $500M R&D budget, collaboration with Nobel laureates, and the opportunity to shape humanity's digital future.
Our state-of-the-art San Francisco campus features neuro-quantum computing labs, generative AI foundries, and immersive AR/VR development suites. Enjoy flexible hybrid work, comprehensive wellness programs, and equity in a company valued at $12B. We're committed to ethical innovation and responsible AI development.
Responsibilities
- Design and implement novel deep learning architectures for 2026-era autonomous systems
- Lead cross-functional teams in developing quantum-ML hybrid computing solutions
- Author breakthrough research papers for top-tier AI/ML conferences (NeurIPS, ICML)
- Translate theoretical models into production-ready systems using TensorFlow/PyTorch
- Collaborate with futurists to define 10-year AI roadmap and ethical frameworks
- Mentor junior researchers and publish 3+ patents annually
Qualifications
- PhD in Machine Learning, Quantum Computing, or Computational Neuroscience
- 5+ years developing production-level neural networks at FAANG-scale
- Expertise in transformer architectures, reinforcement learning, and federated learning
- Published research in top-tier AI journals with 500+ citations
- Proficiency in Python, C++, and quantum programming frameworks
- Experience with large-scale distributed computing (AWS/GCP/Azure)
- Demonstrated ability to translate theoretical models into real-world applications