Job Description
Join Nexus Innovations at the forefront of 2026's technological revolution. We're pioneering AI systems that will redefine human-machine interaction, and we need visionary minds to lead the charge. As an AI Research Scientist, you'll architect next-generation neural networks, collaborate with Nobel laureates, and publish breakthrough papers in top-tier journals. Our state-of-the-art lab in San Francisco offers unparalleled resources, including quantum computing clusters and multimodal datasets from NASA and CERN. We offer flexible remote options, unlimited PTO, and equity packages that recognize your contributions to humanity's digital future.
Responsibilities
- Design and implement novel deep learning architectures for 2026-era applications
- Lead cross-functional research teams in developing ethical AI governance frameworks
- Publish 2+ peer-reviewed papers annually in Nature/Science journals
- Prototype AI solutions for climate modeling and personalized medicine
- Mentor PhD candidates through our industry-academia fellowship program
- Secure $500K+ in annual research grants from NSF and DARPA
Qualifications
- PhD in Computer Science, AI, or related field (2020-2025 graduates encouraged)
- Publication record in NeurIPS/ICML/CVPR with 10+ citations
- Expertise in transformer architectures, reinforcement learning, and federated learning
- Proficiency in PyTorch/TensorFlow with CUDA optimization
- Experience with multimodal datasets (text, vision, audio)
- Strong background in quantum machine learning principles
- Portfolio demonstrating open-source contributions to AI frameworks