Job Description
Join Nexus Labs at the forefront of technological evolution as we pioneer breakthroughs that will define 2026 and beyond. We seek visionary AI researchers to architect intelligent systems that transform industries. Our interdisciplinary team operates at the intersection of quantum computing, neural networks, and predictive analytics in a collaborative Silicon Valley environment.
As a key contributor, you'll leverage cutting-edge infrastructure to develop scalable AI frameworks while contributing to our open-source initiatives. We offer competitive equity packages, flexible work arrangements, and dedicated R&D budgets for ambitious projects.
Shape the future of artificial intelligence with us – where today's innovations become tomorrow's standards.
Responsibilities
- Design and implement novel neural network architectures for predictive analytics
- Lead quantum-enhanced machine learning algorithm development
- Collaborate with cross-functional teams to deploy AI solutions in healthcare and logistics
- Publish research in top-tier journals and present at global AI conferences
- Mentor junior researchers and contribute to open-source AI frameworks
- Develop ethical guidelines for responsible AI deployment
- Identify emerging tech trends and integrate them into R&D roadmaps
Qualifications
- PhD in Computer Science, AI, or related field (or equivalent industry experience)
- 5+ years in machine learning research with 2+ years in quantum computing
- Expertise in Python, TensorFlow, and PyTorch frameworks
- Published papers in NeurIPS, ICML, or equivalent venues
- Proficiency with distributed computing systems (AWS/GCP)
- Strong background in statistical modeling and optimization
- Demonstrated experience leading technical teams
- Portfolio of deployed AI systems with measurable impact