Job Description
Join NexGen Innovations at the forefront of technological evolution as we pioneer breakthroughs that will define 2026 and beyond. We're seeking visionary AI Research Scientists to architect next-generation artificial intelligence systems that solve humanity's most complex challenges. In this pivotal role, you'll collaborate with Nobel laureates and industry pioneers to develop quantum-entangled neural networks, ethical AI frameworks, and autonomous systems that will reshape industries.
Your impact will extend beyond code – you'll shape our AI ethics charter, publish in Nature and Science, and mentor the next generation of innovators. We offer unparalleled resources including our 5,000-qubit quantum lab, exascale computing clusters, and partnerships with NASA and CERN. This is more than a role – it's your chance to engineer the future.
Responsibilities
- Design and deploy quantum-enhanced machine learning models capable of processing exabyte-scale datasets
- Lead cross-functional teams to develop AGI safety protocols and ethical AI governance frameworks
- Pioneer neuromorphic computing architectures that achieve human-level cognitive reasoning by 2026
- Author breakthrough research in top-tier journals (Nature/Science) with 3+ annual publications
- Architect autonomous systems for climate modeling, space exploration, and personalized medicine
- Mentor PhD researchers and establish industry standards for responsible AI development
Qualifications
- PhD in Computer Science, Quantum Physics, or Computational Neuroscience (or equivalent)
- 5+ years of experience developing production-level AI systems at FAANG or similar scale
- Published research in NeurIPS, ICML, or equivalent top-tier conferences (≥5 papers)
- Expertise in quantum machine learning, federated learning, and multi-agent systems
- Proficiency in Python, TensorFlow/PyTorch, and quantum programming frameworks
- Demonstrated experience leading research teams with $10M+ project budgets
- Deep understanding of AI ethics, bias mitigation, and regulatory compliance frameworks