Job Description
Join Nexus AI at the forefront of artificial intelligence innovation. We're seeking visionary researchers to develop transformative AI solutions that will redefine industries by 2026. You'll collaborate with world-class engineers in a dynamic, forward-thinking environment where your ideas shape tomorrow's technology. Our state-of-the-art lab in San Francisco offers unparalleled resources for cutting-edge research in machine learning, neural networks, and quantum computing.
Responsibilities
- Lead research initiatives in generative AI and autonomous systems
- Design and implement novel neural network architectures
- Develop scalable ML pipelines for large-scale data processing
- Publish findings in top-tier AI conferences and journals
- Mentor junior researchers and foster cross-functional collaboration
- Translate theoretical breakthroughs into practical applications
- Stay current with emerging AI paradigms and regulatory frameworks
Qualifications
- PhD in Computer Science, AI, or related field (or equivalent experience)
- 5+ years of applied research in machine learning/deep learning
- Expertise in PyTorch/TensorFlow and distributed computing
- Proven track record of peer-reviewed publications
- Strong programming skills in Python/C++ and Linux environments
- Experience with cloud platforms (AWS/GCP/Azure) for ML deployment
- Demonstrated ability to translate research into commercial products