Job Description
Join Nexus Innovations at the forefront of technological evolution as we pioneer breakthrough AI systems for 2026 and beyond. We're seeking visionary AI Research Scientists to develop next-generation machine learning models that will redefine human-computer interaction. In this pivotal role, you'll collaborate with Nobel laureates and industry disruptors to solve complex challenges in autonomous systems, quantum computing integration, and ethical AI governance. Our state-of-the-art facility in San Francisco offers unparalleled resources for research experimentation, including access to exascale computing clusters and a dedicated ethics review board. This isn't just a job—it's your opportunity to shape the technological landscape of the coming decade.
Responsibilities
- Lead research initiatives in generative AI, reinforcement learning, and neural architecture optimization
- Develop scalable algorithms for real-time decision-making in autonomous systems
- Collaborate with quantum computing teams to hybridize classical and quantum ML models
- Author peer-reviewed publications for top-tier AI conferences (NeurIPS, ICML, ICLR)
- Design frameworks for bias mitigation and ethical AI deployment
- Mentor junior researchers through our 2026 Innovation Fellowship program
- Translate theoretical breakthroughs into production-ready prototypes
- Represent Nexus at global AI policy summits and industry forums
Qualifications
- PhD in Computer Science, Machine Learning, or related field with 5+ years industry experience
- Published record in top-tier AI/ML conferences with >50 citations
- Expertise in PyTorch/TensorFlow, distributed training, and MLOps
- Deep understanding of transformer architectures and diffusion models
- Experience with quantum computing frameworks (Qiskit, Cirq) preferred
- Strong background in AI ethics and responsible AI development
- Proven ability to lead cross-functional research teams
- Patents in AI or related fields highly valued