Job Description
Join Nexus Future Tech at the forefront of 2026's technological revolution. We're pioneering autonomous AI systems that will redefine industries by the decade's end. As an AI Research Scientist, you'll architect breakthrough neural networks, collaborate with Nobel laureates, and shape humanity's digital future. Our state-of-the-art lab in San Francisco offers unparalleled resources to accelerate your research from theory to reality. Why join us? We provide 3-month sabbaticals, equity in patent portfolios, and direct access to quantum computing resources. Help us build the intelligent systems that will power 2026 and beyond.
Responsibilities
- Design and implement novel deep learning architectures for autonomous decision-making systems
- Lead cross-functional teams in developing ethical AI frameworks aligned with 2026 regulatory standards
- Publish breakthrough research in top-tier AI conferences (NeurIPS, ICML, ICLR)
- Collaborate with quantum computing specialists to accelerate neural network training
- Prototype and deploy AI systems in production environments handling petabyte-scale data
- Mentor junior researchers while maintaining individual research excellence
- Secure $1M+ annual research grants from industry and government partners
Qualifications
- PhD in Computer Science, Machine Learning, or related field with 5+ years industry experience
- Proven track record of publishing in AI/ML journals (h-index > 15)
- Expertise in transformer architectures, reinforcement learning, and federated learning
- Proficiency with PyTorch/TensorFlow and distributed computing frameworks
- Experience deploying AI systems at scale in cloud environments (AWS/Azure/GCP)
- Strong background in AI ethics and bias mitigation techniques
- Ability to secure competitive research funding and manage multi-year projects
- Preferred: Experience with quantum machine learning or neuromorphic computing