Job Description
Join Nexus AI Labs at the forefront of artificial intelligence innovation. We're seeking visionary AI Research Scientists to pioneer breakthrough technologies that will define the next decade of computing. Our interdisciplinary team operates at the intersection of deep learning, quantum computing, and human-computer interaction to build systems that understand, reason, and evolve. With state-of-the-art labs in San Francisco's tech corridor and partnerships with leading academic institutions, you'll have unparalleled resources to transform theoretical concepts into real-world applications.
Responsibilities
- Design and implement novel deep learning architectures for next-generation AI systems
- Lead research initiatives in autonomous decision-making and adaptive intelligence
- Develop scalable machine learning pipelines for terabyte-scale datasets
- Collaborate with quantum computing teams to explore hybrid AI-quantum algorithms
- Publish findings in top-tier journals and conferences (NeurIPS, ICML, etc.)
- Mentor junior researchers and drive cross-functional innovation sprints
Qualifications
- PhD in Machine Learning, Computer Science, or related field with 3+ years research experience
- Proven expertise in PyTorch/TensorFlow and distributed computing frameworks
- Strong publication record in top-tier AI/ML venues
- Experience with large-scale LLM training and optimization techniques
- Proficiency in Python, C++, and high-performance computing environments
- Demonstrated ability to translate research into production-ready systems