Job Description
Join Nexus Labs at the forefront of 2026's AI revolution! We're seeking visionary AI Research Scientists to pioneer breakthroughs in quantum machine learning and neural-symbolic integration. Collaborate with Nobel laureates and build transformative systems that will redefine human-computer interaction. Our state-of-the-art labs in San Francisco offer unparalleled resources to accelerate your research impact.
As part of our elite Future Intelligence Division, you'll develop ethical AI frameworks for autonomous systems and contribute to open-source initiatives shaping global AI standards. We provide competitive equity packages, flexible work arrangements, and dedicated research budgets to empower your groundbreaking discoveries.
Responsibilities
- Design and implement novel neural architectures for next-generation autonomous systems
- Lead quantum machine learning research initiatives with 100+ qubit simulations
- Develop cross-modal AI frameworks integrating vision, language, and sensor data
- Publish 3+ peer-reviewed papers in top-tier AI conferences (NeurIPS, ICML, ICLR)
- Mentor junior researchers and coordinate with product engineering teams
- Ensure compliance with evolving AI regulatory frameworks and ethical guidelines
Qualifications
- PhD in Computer Science, Machine Learning, or Quantum Computing with 3+ years research experience
- Published record in top-tier AI/ML conferences or journals
- Expertise in deep learning frameworks (PyTorch/TensorFlow) and quantum computing libraries
- Strong background in multi-agent reinforcement learning and distributed computing
- Proficiency in Python, C++, and high-performance computing environments
- Demonstrated ability to translate research into production-grade systems
- Experience with large-scale model training (>1B parameters)