Job Description
Join Nexus Innovations at the forefront of 2026's technological revolution. We're seeking visionary AI Research Scientists to pioneer breakthroughs in autonomous systems, quantum computing integration, and next-generation neural networks. This role offers unparalleled resources to transform theoretical concepts into real-world applications that will define the next decade.
Our state-of-the-art lab in San Francisco's tech hub provides access to quantum processors, petabyte-scale datasets, and cross-disciplinary teams reshaping human-computer interaction. You'll collaborate with Nobel laureates and industry disruptors while enjoying competitive equity packages, unlimited learning stipends, and flexible hybrid work arrangements.
Responsibilities
- Lead research initiatives in quantum-enhanced machine learning algorithms
- Develop novel neural architectures for 2026-era autonomous systems
- Collaborate with quantum computing teams on hybrid AI models
- Publish findings in top-tier journals and conferences (NeurIPS, ICML)
- Secure government and industry grants for frontier AI research
- Mentor PhD researchers and lead cross-functional innovation sprints
- Translate theoretical breakthroughs into patentable technologies
Qualifications
- PhD in Computer Science, AI, or related field with 3+ years postdoc experience
- Published record in quantum machine learning or next-gen neural networks
- Expertise in TensorFlow/PyTorch with quantum computing frameworks (Qiskit, Cirq)
- Proven track record of securing $500K+ in research funding
- Deep understanding of AGI safety protocols and ethical AI frameworks
- Experience with distributed computing at petabyte-scale
- Portfolio of deployed AI systems solving complex real-world problems