Job Description
Join Nexus Labs at the forefront of technological evolution as we pioneer AI systems that will redefine 2026 and beyond. We're seeking a visionary Senior AI Engineer to architect next-generation machine learning solutions that bridge today's capabilities with tomorrow's innovations. This role offers unparalleled opportunity to shape the future of human-computer interaction while working with a world-class team in our state-of-the-art San Francisco facility.
As a key architect of our 2026 AI roadmap, you'll develop scalable neural networks that push the boundaries of generative AI, predictive analytics, and autonomous systems. Your work will directly impact industries ranging from healthcare to autonomous transportation, solving challenges that don't yet have answers.
Responsibilities
- Design and implement cutting-edge AI models using TensorFlow, PyTorch, and custom frameworks
- Lead research initiatives in quantum-entangled neural networks for 2026-era computing
- Architect distributed AI systems processing petabytes of real-time data
- Mentor junior engineers in ethical AI development and bias mitigation
- Collaborate with product teams to translate AI capabilities into commercial solutions
- Develop patent-pending algorithms for explainable AI and human-AI symbiosis
- Optimize models for edge deployment in 5G and 6G environments
Qualifications
- PhD or Master's in Computer Science, AI, or related field with 5+ years industry experience
- Expertise in transformer architectures, diffusion models, and reinforcement learning
- Proven track record of shipping production AI systems serving >1M users
- Strong background in MLOps, Kubernetes, and cloud-native deployment
- Published research in top-tier AI conferences (NeurIPS, ICML, ICLR)
- Experience with federated learning and privacy-preserving AI techniques
- Deep understanding of quantum computing fundamentals and their AI applications
- Proficiency in Python, C++, and high-performance computing frameworks