Job Description
Join Nexus Future Labs at the forefront of 2026 technological evolution! We're pioneering quantum-AI integration to solve humanity's most complex challenges. As an AI Research Scientist, you'll architect next-generation algorithms that bridge quantum computing with machine learning, transforming industries from healthcare to climate modeling. Our state-of-the-art facility in downtown San Francisco offers unparalleled resources, including a 1000-qubit quantum cluster and collaborative innovation hubs. We foster a culture of radical curiosity where your ideas become breakthrough solutions. Benefit from equity, flexible hybrid work, and continuous learning stipends to stay ahead in this rapidly evolving field.
Responsibilities
- Design and implement quantum-enhanced machine learning models for 2026-era applications
- Lead cross-functional teams in prototyping AI systems leveraging quantum computing paradigms
- Publish groundbreaking research in top-tier journals/conferences (Nature, NeurIPS, etc.)
- Collaborate with hardware teams to optimize quantum-AI hybrid architectures
- Develop ethical frameworks for responsible AI deployment in quantum ecosystems
- Secure $2M+ in research grants from DARPA, NSF, and private sector partners
Qualifications
- PhD in Computer Science, Physics, or related field with 5+ years research experience
- Expertise in quantum computing algorithms and quantum machine learning frameworks
- Proficiency in Python, TensorFlow, PyTorch, and quantum programming languages (Qiskit, Cirq)
- Track record of peer-reviewed publications in AI/quantum research
- Experience with high-performance computing and distributed AI systems
- Deep understanding of ethical AI implications and bias mitigation techniques