Job Description
Join Nexus Innovations at the forefront of technological evolution as we pioneer breakthrough AI systems for 2026 and beyond. We seek a visionary AI Research Scientist to architect next-generation neural networks and autonomous frameworks that will redefine human-machine collaboration. This role offers unparalleled opportunities to publish groundbreaking research, collaborate with Nobel laureates, and shape the ethical foundations of tomorrow's AI landscape.
Our state-of-the-art San Francisco campus features quantum computing labs, neuro-symbolic research centers, and immersive VR development suites. Enjoy competitive equity packages, unlimited learning stipends, and flexible hybrid work arrangements while contributing to projects that will impact billions of lives globally.
Responsibilities
- Design and implement cutting-edge AI architectures for 2026-era autonomous systems
- Lead cross-functional research teams in developing novel neural network paradigms
- Publish peer-reviewed papers in top-tier AI/ML conferences (NeurIPS, ICML, ICLR)
- Develop ethical frameworks for AI governance and bias mitigation
- Collaborate with quantum computing teams to hybridize classical and quantum ML models
- Translate theoretical research into scalable production-ready solutions
- Mentor PhD researchers and drive innovation through quarterly hackathons
Qualifications
- PhD in Computer Science, AI, or related field with 3+ years industry experience
- Published 5+ papers in top-tier AI conferences (NeurIPS, ICML, ICLR)
- Expertise in deep learning frameworks (PyTorch, TensorFlow) and distributed training
- Strong background in reinforcement learning, generative models, or neuromorphic computing
- Proven track record of deploying ML systems at billion-user scale
- Familiarity with quantum machine learning algorithms and hardware
- Excellent communication skills with ability to articulate complex concepts to diverse audiences