Job Description
Join Nexus Futuristics at the forefront of artificial intelligence innovation to architect solutions that will define 2026 and beyond. We're seeking visionary researchers to pioneer breakthroughs in machine learning, autonomous systems, and human-AI collaboration. Our cutting-edge lab in San Francisco offers unparalleled resources to transform theoretical concepts into real-world applications that shape tomorrow's technological landscape.
Responsibilities
- Lead advanced R&D projects in generative AI and neural networks
- Develop novel algorithms for autonomous decision-making systems
- Collaborate with cross-functional teams to integrate AI solutions into enterprise platforms
- Publish groundbreaking research in top-tier AI conferences and journals
- Architect scalable AI infrastructure supporting 10M+ daily interactions
- Mentor junior researchers and foster innovation culture
- Secure competitive research grants and industry partnerships
Qualifications
- PhD in Computer Science, AI, or related field with 3+ years industry experience
- Proven track record of publishing in NeurIPS/ICML/ICLR or equivalent
- Expertise in PyTorch/TensorFlow and distributed computing frameworks
- Strong background in reinforcement learning and multi-agent systems
- Experience with large-scale model training and optimization
- Exceptional problem-solving skills for ambiguous technical challenges
- Portfolio demonstrating 2+ deployed AI systems with measurable impact