Job Description
Join Nexus Labs at the forefront of technological evolution as we pioneer breakthrough AI systems for 2026. We seek visionary researchers to develop next-generation neural architectures and ethical AI frameworks that will redefine human-machine collaboration. Our state-of-the-art facility in San Francisco offers unparalleled resources for computational innovation and interdisciplinary collaboration.
As part of our elite Future Technologies Division, you'll work alongside Nobel laureates and Turing Award winners to solve humanity's most pressing challenges through quantum-entangled neural networks and autonomous reasoning systems. This role includes competitive equity, flexible work arrangements, and dedicated R&D funding.
Responsibilities
- Design and implement novel deep learning architectures for 2026-era applications
- Lead cross-functional teams in developing ethical AI governance frameworks
- Publish groundbreaking research in top-tier AI/ML conferences (NeurIPS, ICML)
- Collaborate with quantum computing specialists on hybrid AI models
- Drive innovation in explainable AI and bias mitigation techniques
- Secure $2M+ in annual research funding through grant proposals
- Mentor PhD researchers and industry partners
Qualifications
- PhD in Computer Science, Machine Learning, or related field (or equivalent experience)
- 5+ years of research experience in neural networks or deep learning
- Published record in top-tier AI/ML conferences (NeurIPS, ICML, ICLR)
- Expertise in PyTorch/TensorFlow and distributed computing systems
- Strong background in theoretical AI ethics and responsible innovation
- Experience with quantum computing concepts and hybrid AI systems
- Proven ability to secure competitive research funding