Job Description
At Nexus 2026 Technologies, we are not just predicting the future; we are architecting it. As a leader in the 2026 Niche of advanced AI and quantum computing, we are seeking a visionary Senior AI Research Scientist to join our elite R&D team in San Francisco.
In this role, you will bridge the gap between theoretical physics and practical machine learning, developing the next generation of neural architectures designed to solve complex problems in the year 2026 and beyond. You will work in a collaborative, high-performance environment alongside world-class engineers and data scientists.
Why join Nexus 2026?
- Work on cutting-edge technology that defines the future of human-machine interaction.
- Competitive compensation package with equity options.
- Unlimited PTO and a fully remote-friendly culture with a premium SF office.
Responsibilities
- Lead the research and development of novel algorithms for next-generation AI models, specifically tailored for the 2026 technology landscape.
- Collaborate with cross-functional teams to integrate advanced AI research into scalable production systems.
- Design and conduct experiments to validate hypotheses regarding quantum machine learning and generative AI.
- Mentor junior researchers and data scientists, fostering a culture of innovation and technical excellence.
- Present research findings at top-tier international conferences and publish papers in peer-reviewed journals.
- Stay ahead of industry trends to ensure Nexus 2026 remains at the forefront of technological innovation.
Qualifications
- Ph.D. in Computer Science, Physics, Mathematics, or a related field with a focus on AI/ML.
- 5+ years of industry experience in machine learning research, with at least 2 years in a senior leadership role.
- Expert proficiency in Python, PyTorch, TensorFlow, and distributed computing frameworks.
- Strong background in quantum computing concepts or advanced deep learning architectures.
- Proven track record of publishing high-impact research papers.
- Excellent communication skills, capable of translating complex technical concepts for diverse audiences.