Job Description
Join Nexus Innovations at the forefront of 2026's AI revolution. We're pioneering quantum machine learning models that will redefine human-computer interaction. As an AI Research Scientist, you'll architect breakthrough algorithms for our autonomous systems division, collaborating with Nobel laureates and MIT PhDs in our state-of-the-art downtown San Francisco lab.
This role offers unparalleled resources for publishing in Nature AI and leading NeurIPS conferences, with budget allocation for your own research initiatives. You'll shape the ethical frameworks for AGI development while mentoring the next generation of AI pioneers.
Responsibilities
- Design and implement novel deep learning architectures for autonomous decision-making systems
- Lead cross-functional teams to deploy AI models in edge computing environments
- Develop ethical governance frameworks for generative AI applications
- Author peer-reviewed publications in top-tier AI research journals
- Optimize neural networks for quantum computing architectures
- Collaborate with robotics teams to integrate perception models
- Secure $2M+ in annual research grants for experimental projects
Qualifications
- PhD in Computer Science, Mathematics, or related field with 3+ years industry experience
- Published work in NeurIPS/ICML/IJCAI with 50+ citations
- Mastery of PyTorch, TensorFlow, and distributed training frameworks
- Expertise in reinforcement learning and generative adversarial networks
- Proven track record of deploying production-grade AI systems
- Strong background in algorithmic complexity analysis
- Experience with quantum computing APIs (Qiskit, Cirq)
- Fluency in Python, CUDA, and low-level optimization