Job Description
Shape the future with Nexus Innovations' 2026 AI initiative. We're seeking visionary researchers to develop transformative machine learning solutions that will redefine industries by the end of this decade. Join our elite team in San Francisco, where cutting-edge research meets real-world impact.
Responsibilities
- Design and implement novel deep learning architectures for next-gen AI systems
- Lead cross-functional projects to deploy scalable ML models in production environments
- Publish breakthrough research in top-tier AI conferences (NeurIPS, ICML)
- Collaborate with quantum computing teams to hybridize classical/quantum algorithms
- Develop ethical frameworks for autonomous decision-making systems
- Mentor junior researchers and foster innovation through hackathons
- Secure $1M+ in government grants for frontier AI research
Qualifications
- PhD in Computer Science, Machine Learning, or equivalent experience
- 5+ years developing production-grade deep learning systems
- Published record in top-tier AI/ML conferences
- Expertise in transformer architectures, reinforcement learning, and generative models
- Proficiency with PyTorch, TensorFlow, and distributed computing frameworks
- Demonstrated experience with ethical AI governance frameworks
- Strong background in quantum computing fundamentals
- Track record of translating research into commercial applications